CN1642055A - Mobile station observation time difference measuring method for WCDMA communication system - Google Patents
Mobile station observation time difference measuring method for WCDMA communication system Download PDFInfo
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- CN1642055A CN1642055A CNA2004100009905A CN200410000990A CN1642055A CN 1642055 A CN1642055 A CN 1642055A CN A2004100009905 A CNA2004100009905 A CN A2004100009905A CN 200410000990 A CN200410000990 A CN 200410000990A CN 1642055 A CN1642055 A CN 1642055A
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Abstract
The invention relates to the WCDMA traveling platform positioning field. It includes the following steps that the traveling platform is received the common pilot signal; it does multi-diameter searching of the each subzone, gain the traveling platform observation time difference measured value between the reference subzone and each of the adjacent one; the measured value is repeatedly gained; to each of the adjacent subzone, the traveling platform is selected the medium value of the gained N measured values, and measured the reported value for the traveling platform observation time difference between the subzone and the reference one; to each of the adjacent subzone, the traveling platform is calculated the absolute value deviation of the N traveling platform observation time difference measured values and reported values; a global threshold value is set, to each of the adjacent subzone, the traveling platform is selected the traveling platform observation time difference measured value whose absolute value deviation to the reported value is less than the threshold value, estimated the traveling platform observation time difference standard deviation.
Description
Technical field
The present invention relates to moving communicating field, especially WCDMA mobile position estimation field.
Background technology
In WCDMA (Wideband Code Division Multiple Access (WCDMA)) communication system, it is very important measuring amount in " observed time difference-down link idling cycle " (OTDOA-IPDL) standard setting method in the WCDMA mobile communication system that travelling carriage observed time difference (UE SFN-SFNOTDOA type 2) is measured.The precision of travelling carriage observed time difference measurements value has directly determined the precision of location Calculation, and simultaneously, the precision of travelling carriage observed time difference standard deviation has directly determined the precision that position error is estimated.Therefore, in order to improve positioning accuracy and position error estimated accuracy, just must manage to improve the precision of travelling carriage observed time difference measurements.
As everyone knows, the wireless channel communication environments in the mobile communication system is complicated and changeable, exists electronic noise, multipath transmisstion, shadow fading and non-visual propagation path or the like uncertain factor.Therefore, by measuring the complicated single travelling carriage observed time difference measurements value that wireless signal obtained, just exist very big uncertainty at random.At the multipath random fading under the influence violent or factor such as big noise at random, single travelling carriage observed time difference measurements even very big measure error may occur in addition.This is distinctive but also be common phenomena very in the mobile communication system.
In the WCDMA mobile communication system, because wireless channel can change along with the time; And the influence of the factors such as frequency deviation of travelling carriage clock, base station clock various degrees, the duration that travelling carriage carries out effective travelling carriage observed time difference measurements exists certain restriction, and travelling carriage can not overcome the influence of above-mentioned mistake at random by long-term measurement, means such as level and smooth.And, since the restriction of mobile position estimation response time, the more impossible measurement of carrying out the travelling carriage observed time difference for a long time of travelling carriage.
In the prior art scheme, travelling carriage is general direct to report radio network controller with the resulting travelling carriage observed time difference measurements of single measurement result.The shortcoming of above-mentioned prior art solution is: exist the possibility of bigger random error, and travelling carriage will be difficult to carry out the estimation of effective travelling carriage observed time difference standard deviation.
Summary of the invention
Technical problem to be solved by this invention is: for each adjacent sub-district, how in the short period of time travelling carriage, measure limited should the neighbour sub-district and reference cell between travelling carriage observed time difference measurements value, and from these measurement results, stable, calculate the value of reporting of travelling carriage observed time difference and standard deviation thereof exactly.For this reason, the present invention adopts following technical scheme:
Travelling carriage observed time difference measurements and processing method in a kind of WCDMA communication system is characterized in that may further comprise the steps:
Step 1: travelling carriage receives the travelling carriage observed time difference measurements request that radio network controller issues, and the reference cell that provides according to radio network controller and the parameter of a plurality of adjacent sub-districts receive the common pilot signal that send each sub-district;
Step 2: travelling carriage is done the Multipath searching of each sub-district, utilizes the frame head of each sub-district that Multipath searching obtains, and calculates the travelling carriage observed time difference measurements value between reference cell and each the adjacent sub-district;
Step 3: repeating step one and step 2 draw the travelling carriage observed time difference measurements value between N group reference cell and each the adjacent sub-district;
Step 4: for each adjacent sub-district, travelling carriage is chosen the median of N the travelling carriage observed time difference measurements value that step 3 obtains, as the travelling carriage observed time difference measurements value of reporting between this sub-district and the reference cell;
Step 5: for each adjacent sub-district, travelling carriage calculates the absolute value deviation between N travelling carriage observed time difference measurements value and above-mentioned measurement value of reporting;
Step 6: set a global threshold, for each adjacent sub-district, absolute value deviation between the value of reporting is chosen and measured to travelling carriage less than all travelling carriage observed time difference measurements values of this threshold value, estimates the travelling carriage observed time difference standard deviation between this neighbour sub-district and the reference cell.
In the described step 3, the span of N is 3 to 5 times.
In the described step 6, this threshold range is 4 to 5 chips.
In the described step 6, estimate that the step of the travelling carriage observed time difference standard deviation between each adjacent sub-district and the reference cell is as follows:
Does step a: the number of judging the travelling carriage observed time difference measurements value that travelling carriage is selected equal 1? if then change step b over to; Otherwise change step c over to;
Step b: according to the adjacent sub-district multi-path searching results information in this travelling carriage observed time difference measurements process, calculate travelling carriage observed time difference standard deviation, put travelling carriage observed time difference standard deviation and be: first footpath of adjacent sub-district multi-path searching results and the time interval between second footpath;
Step c: calculate travelling carriage observed time difference standard deviation according to following formula:
Wherein, the implication of above-mentioned each symbol is as follows:
OtdoaStd: the travelling carriage observed time difference standard deviation between this neighbour sub-district and the reference cell;
OtdoaMeas: travelling carriage observed time difference measurements value, subscript i represents i the measured value that travelling carriage is selected;
N: the number of the travelling carriage observed time difference measurements value that travelling carriage is selected;
OtdoaRprt: the travelling carriage observed time difference measurements value of reporting.
In the described step 1, the parameter of reference cell and adjacent sub-district comprises the main scrambler of each sub-district, the relative time difference of each adjacent sub-district and search window width.
By scheme provided by the invention and technology, can overcome effectively because the wireless channel communication environments is changeable at random, the influence of caused travelling carriage observed time difference and standard deviation change at random thereof, thereby the precision of raising travelling carriage observed time difference and standard deviation thereof.Simultaneously, the present invention can so that the response time of travelling carriage short as much as possible so that satisfy the real-time requirement of mobile position estimation business.
Description of drawings
Fig. 1 is travelling carriage reception wireless signal and the schematic diagram that carries out the travelling carriage observed time difference measurements;
Fig. 2 is the flow chart that travelling carriage carries out travelling carriage observed time difference and standard deviation estimation thereof;
Fig. 3 be between radio network controller and the travelling carriage observed time difference measurements request with report schematic diagram;
Fig. 4 is the measurement Control Parameter schematic diagram that radio network controller is handed down to travelling carriage;
Fig. 5 is that the frame head of each sub-district of being obtained by the travelling carriage Multipath searching obtains the observed time difference schematic diagram;
Fig. 6 is that multi-path searching results and observed time difference standard deviation are calculated schematic diagram.
Embodiment
Below in conjunction with Figure of description the specific embodiment of the present invention is described.
As shown in Figure 1, be travelling carriage reception wireless signal among the present invention and the schematic diagram that carries out the travelling carriage observed time difference measurements.As seen from the figure, travelling carriage at first receives the common pilot signal that each sub-district sends, and within the limited time, utilize the result of Multipath searching to calculate travelling carriage observed time difference measurements value between each adjacent sub-district and the reference cell, the such travelling carriage observed time difference measurements of travelling carriage circulation carrying out N time, thus N group travelling carriage observed time difference measurements value obtained; Secondly, by above-mentioned measured value is carried out technical finesse, finally obtain the travelling carriage observed time difference value of reporting and the travelling carriage observed time difference standard deviation value of reporting between each adjacent sub-district and the reference cell.
Fig. 2 is among the present invention, the schematic flow sheet that travelling carriage is estimated the travelling carriage observed time difference measurements value and the standard deviation thereof of certain specific adjacent sub-district, and as can be seen from the figure, it specifically may further comprise the steps:
Step 1: travelling carriage receives the travelling carriage observed time difference measurements request that radio network controller issues.As shown in Figure 3, radio network controller issues the request of travelling carriage observed time difference measurements to travelling carriage by measuring control messages.
As shown in Figure 4, the reference cell that travelling carriage provides according to radio network controller and the parameter of adjacent sub-district, mainly be the main scrambler of each sub-district, relative time of each adjacent sub-district poor (RTD) and search window width receive the common pilot signal that send each sub-district.
Step 2: travelling carriage is done the Multipath searching of each sub-district, utilizes the frame head of each sub-district that Multipath searching obtains, and calculates the travelling carriage observed time difference measurements value between reference cell and each the adjacent sub-district.
As shown in Figure 5, the travelling carriage observed time difference is the time interval of adjacent sub-district frame head and nearest reference cell frame head.
Step 3: repeating step one and step 2 draw the travelling carriage observed time difference measurements value between N group reference cell and each the adjacent sub-district.
Wherein, the span of N is: 3 to 5 times.
In the present invention, above-mentioned step repeats N time, like this, can make follow-up processing accurately, conveniently.The value of N is little, mainly considers the measurement request of quick respective wireless network controller.
Step 4: for each adjacent sub-district, travelling carriage is chosen the median of N the travelling carriage observed time difference measurements value that step 3 obtains, and is used as the travelling carriage observed time difference measurements value of reporting between this sub-district and the reference cell.
Step 5: for each adjacent sub-district, travelling carriage calculates the absolute value deviation between N travelling carriage observed time difference measurements value and above-mentioned measurement value of reporting.
Step 6: set a global threshold, for each adjacent sub-district, absolute value deviation between the value of reporting is chosen and measured to travelling carriage less than all travelling carriage observed time difference measurements values of this threshold value, estimates the travelling carriage observed time difference standard deviation between this neighbour sub-district and the reference cell.Travelling carriage observed time difference standard deviation is used to estimate position error, and good position error estimates at the positioning accuracy scope of knowing this location accurately that is beneficial to.
This step is rejected the bigger invalid measurements of deviation, utilizes remaining measured value, estimates travelling carriage observed time difference standard deviation.
In the step 6, the method for rejecting the bigger invalid measurements of deviation is: judge that whether absolute value deviation between certain measured value and the observed time difference value of reporting is greater than certain thresholding K, if then reject this measured value.Wherein, the span of K is: 4～5 chips.
Among the present invention, estimate that the method for travelling carriage observed time difference standard deviation is:
Step a: judge that the number of the travelling carriage observed time difference measurements value that travelling carriage is selected equals 1 in step 6? if then change step b over to; Otherwise change step c over to;
Step b:, calculate travelling carriage observed time difference standard deviation according to the adjacent sub-district multi-path searching results information in this travelling carriage observed time difference measurements process.Putting travelling carriage observed time difference standard deviation is: first footpath of adjacent sub-district multi-path searching results and the time interval between second footpath.
As shown in Figure 6, be this adjacent sub-district multi-path searching results, the footpath of first among the figure is used to calculate the travelling carriage observed time difference; Travelling carriage observed time difference standard deviation is changed to the distance between first footpath and second footpath.
Step c: calculate travelling carriage observed time difference standard deviation according to following formula:
Wherein, the implication of above-mentioned each symbol is as follows:
OtdoaStd: the travelling carriage observed time difference standard deviation between this neighbour sub-district and the reference cell;
OtdoaMeas: travelling carriage observed time difference measurements value, subscript i represents i the measured value that travelling carriage is selected;
N: the number of the travelling carriage observed time difference measurements value that travelling carriage is selected;
OtdoaRprt: the travelling carriage observed time difference measurements value of reporting.
We provide a specific embodiment effect of the present invention are described, 20.1,20,19.9,19.8,25 such as following 5 travelling carriage observed time difference measurements values are arranged: (this value is because the sudden change of wireless environment causes mistake, this is very common in mobile communication system), adopt the median method of this paper, the travelling carriage observed time difference value of reporting that is obtained is exactly five medians in the numerical value, promptly 20, this is more reasonable.If according to the prior art scheme, adopt certain measurement wherein to report, just probably choose the bigger measured value of 25 these deviations; Perhaps,, then be if adopt mean value as the value of reporting: 20.96, its error is still bigger.Then, we go to estimate its standard deviation with the travelling carriage observed time difference measurements value of reporting, and then the method for this paper can be more accurate as can be seen.
Improvement project of the present invention is in given finite time, as far as possible travelling carriage observed time difference measurements several times of doing more, utilize the method described in the literary composition to carry out the processing of travelling carriage observed time difference measurements value, can guarantee that like this travelling carriage observed time difference value of reporting is more steady, and, can also obtain the estimation of more accurate travelling carriage observed time difference standard deviation, travelling carriage observed time difference standard deviation also is that the WCDMA agreement requires one of measurement content that must report.
Response time is the key factor of a positioning service service quality, and the response time always wishes short more good more, so under time-limited situation, travelling carriage can not obtain a lot of travelling carriage observed time difference measurements values.In addition, owing to mobile channel can change along with the time, so, even travelling carriage has obtained travelling carriage observed time difference measurements value many times, can not carry out any effective statistical disposition again.Therefore, in the prior art solution, adopt limited number of time to measure, directly bigger error can appear in average method then.The present invention then can so that the response time of travelling carriage short as much as possible, to satisfy the real-time requirement of mobile position estimation business, simultaneously, the present invention adopts ordering to obtain the method for median, can effectively avoid big error, have higher travelling carriage observed time difference measurements precision.
Claims (5)
1, travelling carriage observed time difference measurements and the processing method in a kind of WCDMA communication system is characterized in that may further comprise the steps:
Step 1: travelling carriage receives the travelling carriage observed time difference measurements request that radio network controller issues, and the reference cell that provides according to radio network controller and the parameter of a plurality of adjacent sub-districts receive the common pilot signal that send each sub-district;
Step 2: travelling carriage is done the Multipath searching of each sub-district, utilizes the frame head of each sub-district that Multipath searching obtains, and calculates the travelling carriage observed time difference measurements value between reference cell and each the adjacent sub-district;
Step 3: repeating step one and step 2 draw the travelling carriage observed time difference measurements value between N group reference cell and each the adjacent sub-district;
Step 4: for each adjacent sub-district, travelling carriage is chosen the median of N the travelling carriage observed time difference measurements value that step 3 obtains, as the travelling carriage observed time difference measurements value of reporting between this sub-district and the reference cell;
Step 5: for each adjacent sub-district, travelling carriage calculates the absolute value deviation between N travelling carriage observed time difference measurements value and above-mentioned measurement value of reporting;
Step 6: set a global threshold, for each adjacent sub-district, absolute value deviation between the value of reporting is chosen and measured to travelling carriage less than all travelling carriage observed time difference measurements values of this threshold value, estimates the travelling carriage observed time difference standard deviation between this neighbour sub-district and the reference cell.
2, the method for claim 1 is characterized in that in the described step 3, and the span of N is 3 to 5 times.
3, the method for claim 1 is characterized in that in the described step 6, and this threshold range is 4 to 5 chips.
4, the method for claim 1 is characterized in that in the described step 6, estimates that the step of the travelling carriage observed time difference standard deviation between each adjacent sub-district and the reference cell is as follows:
Does step a: the number of judging the travelling carriage observed time difference measurements value that travelling carriage is selected equal 1? if then change step b over to; Otherwise change step c over to;
Step b: according to the adjacent sub-district multi-path searching results information in this travelling carriage observed time difference measurements process, calculate travelling carriage observed time difference standard deviation, put travelling carriage observed time difference standard deviation and be: first footpath of adjacent sub-district multi-path searching results and the time interval between second footpath;
Step c: calculate travelling carriage observed time difference standard deviation according to following formula:
Wherein, the implication of above-mentioned each symbol is as follows:
OtdoaStd: the travelling carriage observed time difference standard deviation between this neighbour sub-district and the reference cell;
OtdoaMeas: travelling carriage observed time difference measurements value, subscript i represents i the measured value that travelling carriage is selected;
N: the number of the travelling carriage observed time difference measurements value that travelling carriage is selected;
OtdoaRprt: the travelling carriage observed time difference measurements value of reporting.
5, the method for claim 1 is characterized in that in the described step 1, and the parameter of reference cell and adjacent sub-district comprises the main scrambler of each sub-district, the relative time difference of each adjacent sub-district and search window width.
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| CNA2004100009905A CN1642055A (en) | 2004-01-17 | 2004-01-17 | Mobile station observation time difference measuring method for WCDMA communication system |
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Cited By (8)
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| CN101594169A (en) * | 2008-05-30 | 2009-12-02 | 特拉博斯股份有限公司 | Method that is used to measure and equipment |
| CN101442768B (en) * | 2007-11-20 | 2012-04-04 | 杰脉通信技术(上海)有限公司 | Method for measuring cofrequency multi-district observation time difference |
| CN102426351A (en) * | 2010-08-16 | 2012-04-25 | 诺基亚公司 | Method and apparatus for a buffering scheme for otdoa based location positioning |
| CN1909717B (en) * | 2005-08-03 | 2012-05-16 | 中兴通讯股份有限公司 | Method and device for selecting positioning mode in WCDMA system |
| US8885581B2 (en) | 2009-02-05 | 2014-11-11 | Apple Inc. | Method and system for user equipment location determination on a wireless transmission system |
| WO2016161644A1 (en) * | 2015-04-10 | 2016-10-13 | 华为技术有限公司 | Method and device for reporting measurement result |
| CN106304174A (en) * | 2015-05-27 | 2017-01-04 | 北京信威通信技术股份有限公司 | A kind of method obtaining minizone timing offset |
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| CN1909717B (en) * | 2005-08-03 | 2012-05-16 | 中兴通讯股份有限公司 | Method and device for selecting positioning mode in WCDMA system |
| CN101442768B (en) * | 2007-11-20 | 2012-04-04 | 杰脉通信技术(上海)有限公司 | Method for measuring cofrequency multi-district observation time difference |
| CN101594169B (en) * | 2008-05-30 | 2014-09-10 | 特拉博斯股份有限公司 | Method and equipment for measurements |
| CN101594169A (en) * | 2008-05-30 | 2009-12-02 | 特拉博斯股份有限公司 | Method that is used to measure and equipment |
| US10330771B2 (en) | 2009-02-05 | 2019-06-25 | Apple Inc. | Method and system for user equipment location determination on a wireless transmission system |
| US10082558B2 (en) | 2009-02-05 | 2018-09-25 | Apple Inc. | Method and system for user equipment location determination on a wireless transmission system |
| US8885581B2 (en) | 2009-02-05 | 2014-11-11 | Apple Inc. | Method and system for user equipment location determination on a wireless transmission system |
| CN102379141B (en) * | 2009-02-05 | 2014-12-03 | 苹果公司 | Method and system for user equipment location determination on a wireless transmission system |
| RU2534739C2 (en) * | 2009-02-05 | 2014-12-10 | Эппл Инк | Wireless radio communication method and system, bursting method |
| US9423488B2 (en) | 2009-02-05 | 2016-08-23 | Apple Inc. | Method and system for user equipment location determination on a wireless transmission system |
| US10901067B2 (en) | 2009-02-05 | 2021-01-26 | Apple Inc. | Method and system for user equipment location determination on a wireless transmission system |
| US9739869B2 (en) | 2009-02-05 | 2017-08-22 | Apple Inc. | Method and system for user equipment location determination on a wireless transmission system |
| CN102426351B (en) * | 2010-08-16 | 2014-03-19 | 诺基亚公司 | Method and apparatus for a buffering scheme for otdoa based location positioning |
| CN102426351A (en) * | 2010-08-16 | 2012-04-25 | 诺基亚公司 | Method and apparatus for a buffering scheme for otdoa based location positioning |
| CN107005870A (en) * | 2015-04-10 | 2017-08-01 | 华为技术有限公司 | A kind of measurement result report method and device |
| CN107005870B (en) * | 2015-04-10 | 2020-06-23 | 陕西英苑信息技术有限公司 | Method and device for reporting measurement result |
| WO2016161644A1 (en) * | 2015-04-10 | 2016-10-13 | 华为技术有限公司 | Method and device for reporting measurement result |
| CN106304174A (en) * | 2015-05-27 | 2017-01-04 | 北京信威通信技术股份有限公司 | A kind of method obtaining minizone timing offset |
| CN111492702A (en) * | 2017-12-19 | 2020-08-04 | 高通股份有限公司 | Time synchronization techniques for wireless communications |
| CN111492702B (en) * | 2017-12-19 | 2022-06-14 | 高通股份有限公司 | Time synchronization techniques for wireless communications |
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