CN1274100C - An identifying method of invisible path in mobile system - Google Patents
An identifying method of invisible path in mobile system Download PDFInfo
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- CN1274100C CN1274100C CN 02148675 CN02148675A CN1274100C CN 1274100 C CN1274100 C CN 1274100C CN 02148675 CN02148675 CN 02148675 CN 02148675 A CN02148675 A CN 02148675A CN 1274100 C CN1274100 C CN 1274100C
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Abstract
The present invention discloses a recognition method of a non-visual propagation path in a mobile system, which comprises the following procedures: A) selecting an arbitrary path which is used as the non-visual path after a first path on power time delay distribution, tracking the path, carrying out N sampling to the power of the path, and storing obtained N sampling values; B) obtaining non-visual path sample totality according to the N sampling values, and calculating non-visual path sample dispersion coefficient; C) judging whether the non-visual path sample dispersion coefficient is greater than or equal to an adjudication threshold at a preconcerted motion state, if true, then adjudicating that a mobile terminal is the motion state, then adopting the method which calculates the multipath time delay distribution sample dispersion coefficient to recognize the non-visual propagation path, else, adjudicating that the mobile terminal is a quiescent state, and then adopting the method which compares the power between the paths to recognize the non-visual propagation path. The present invention generates an NLOS recognition method which can reach high recognition rate when rests and moves at the mobile terminal according to the motion information of the mobile terminal.
Description
Technical field
The invention belongs to moving communicating field, relate in particular in the CDMA mobile communication systems, be used for a kind of recognition methods of portable terminal location by the auxiliary non-visual propagation path of movable information.
Background technology
In the cellular mobile terminal navigation system, the propagation delay error that the propagation delay error that non-visual (NLOS:Non-Line-Of-Sight) propagation path is introduced is introduced with respect to visual propagation path can cause position estimation accuracy significantly to reduce, and therefore non-visual propagation path identification is to suppress the key technique of NLOS error to location precision effectively.
In order to realize NLOS identification, can adopt multiple technologies, as based on the NLOS recognition methods of sample coefficient of dispersion with based on the NLOS recognition methods of difference power between the footpath.
Based on the principle of the NLOS recognition methods of sample coefficient of dispersion as shown in Figure 1, Fig. 1 a is the fading curve that is the single footpath of this fading characteristic of Lay, and the footpath that is this decline is exactly visual (LOS:Line-Of-Sight) propagation path; Fig. 1 b is the fading curve that is the single footpath of Rayleigh fading characteristic, and the footpath that is this decline is exactly the NLOS footpath.It is different that a significant differences of Fig. 1 a and two kinds of fading curves shown in Fig. 1 b shows as the sample coefficient of dispersion.When sample coefficient of dispersion during greater than predetermined decision threshold, just be judged to NLOS, when sample coefficient of dispersion during, just be judged to LOS less than predetermined decision threshold.
Based on the principle of the NLOS recognition methods of power between the footpath (or amplitude) difference as shown in Figure 2, Fig. 2 a is that typical LOS propagation path power time delay distributes 205, and Fig. 2 b is that typical NLOS propagation path power time delay distributes 210.Wherein, the most powerful path on 201,207 expression power time delay distribute, 201 also is simultaneously first footpath, still, 207 is not first footpath; The local most powerful path of 204 and 209 expressions; The starting point of the local most powerful path search window of 202 and 208 expressions and the interval of most powerful path are represented with Alpha; Can detected first footpath in the 206 expression power time delay distributions 210.When the ratio of most powerful path power (or amplitude) and local strong footpath power (or amplitude) greater than predetermined decision threshold, and the difference of the time of advent that the time of advent of first footpath correspondence is corresponding with most powerful path is less than predetermined time value, then be judged to the LOS propagation path, otherwise be judged to the NLOS propagation path.
Though above-mentioned NLOS recognition methods can both be discerned the NLOS propagation path, has following shortcoming:
1) when portable terminal is kept in motion, NLOS recognition methods ratio based on the sample coefficient of dispersion is more accurate based on the NLOS recognition methods of power between the footpath (or amplitude) difference, but is in static state based on the inapplicable portable terminal of NLOS recognition methods of sample coefficient of dispersion;
2) although the NLOS that poor NLOS recognition methods both had been suitable under the motion state of mobile terminal based on power between the footpath (or amplitude) discerns, be fit to the NLOS identification under the portable terminal inactive state again, but, when motion of mobile terminals, based on the NLOS recognition performance of power between the footpath (or amplitude) difference for example accuracy not as NLOS recognition methods based on the sample coefficient of dispersion.
Therefore no matter be based on the NLOS recognition methods of sample coefficient of dispersion, also be based on the NLOS recognition methods of power (or amplitude) difference between the footpath, all can not guarantee when portable terminal is in motion and standstill, can realize more exactly the identification of NLOS propagation path.
Summary of the invention
The object of the present invention is to provide a kind of method of NLOS propagation path, whether to move, selecting optimal method realization NLOS identification based on the NLOS recognition methods of sample coefficient of dispersion and in the NLOS recognition methods that power (or amplitude) differs between based on the footpath according to portable terminal.
The present invention is achieved through the following technical solutions:
The recognition methods of non-visual propagation path in a kind of mobile system may further comprise the steps:
A) but distribute from power time delay and to select any one footpath after the first footpath as non-visual path, this is directly followed the tracks of, and the power in this footpath is carried out N time sample, obtain sampled value N time;
B) but N the sampled value that is obtained is overall as non-visual path sample, but calculate non-visual path sample coefficient of dispersion;
C) but judge non-visual path sample coefficient of dispersion whether more than or equal to predetermined motion state decision threshold, if judgement portable terminal is a motion state, adopt the method for calculating distribution of multipath time delay sample coefficient of dispersion to discern non-visual propagation path then; Otherwise the judgement portable terminal is an inactive state, adopts the method that compares difference power between the footpath to discern non-visual propagation path then.
Wherein, the power time delay that described power time delay is distributed as Serving cell distributes, and perhaps is that the power time delay of neighbor cell distributes.
Described any one after first footpath is selected in the power time delay distribution of steps A directly is to select according to the position in the footpath of the pilot signal of this sub-district of Multipath searching unit output or adjacent sub-district.
Steps A is described to distribute from power time delay that to select after the first footpath any one directly be that the power time delay distribution according to the time-multiplexed pilot signal of portable terminal up link is selected in the base station.
But the non-visual path sample of the described calculating of step B coefficient of dispersion comprises: but totally calculate the average and the standard deviation of sample according to non-visual path sample, ask for the ratio of standard deviation and mean value, but with this ratio as non-visual path sample coefficient of dispersion.
But the non-visual path sample of the described calculating of step B coefficient of dispersion comprises:
B01) but totally calculate the average of sample according to non-visual path sample;
B02) calculate the absolute value of each sample and equal value difference, and calculate resulting average absolute, this mean value is poor as approximate test;
B03) ask for the ratio of approximate test difference and average, but with this ratio as non-visual path sample coefficient of dispersion.
Preferably, the described employing of the step C method of the calculating distribution of multipath time delay sample coefficient of dispersion step of discerning non-visual propagation path comprises:
C01) wait for the power time delay distributed data that the Multipath searching unit is exported,
C02) select most powerful path and store this most powerful path power, judge whether to have selected N most powerful path power,, otherwise return step C01 if then go to step C03;
C03) N the most powerful path power of being selected is overall as the distribution of multipath time delay sample, carry out the calculating of distribution of multipath time delay sample coefficient of dispersion, distribution of multipath time delay sample coefficient of dispersion and the distribution of multipath time delay sample coefficient of dispersion decision threshold of being scheduled to are compared, if the sample coefficient of dispersion is more than or equal to non-visual decision threshold, just be judged to non-visual propagation path, otherwise, be judged to visual propagation path.
The described power time delay distributed data of above-mentioned steps C01 is to be exported by the Multipath searching unit of portable terminal, or export by the Multipath searching unit of base station; The described most powerful path of step C02 is selected in whole search window, or selects first most powerful path earlier in whole search window, selects all the other N-1 most powerful path then near this first most powerful path; The described calculating of carrying out distribution of multipath time delay sample coefficient of dispersion of step C03 comprises, totally calculate the average and the standard deviation of sample according to the distribution of multipath time delay sample, ask for the ratio of the average of standard deviation and sample, with this ratio as distribution of multipath time delay sample coefficient of dispersion, perhaps, totally calculate the average of its sample earlier according to the distribution of multipath time delay sample, calculate the absolute value of each sample and equal value difference then, and calculate resulting average absolute, this mean value is poor as approximate test, ask for the ratio of approximate test difference and average again, but with this ratio as non-visual path sample coefficient of dispersion.
Preferably, the step that the method for difference power is discerned non-visual propagation path between the described employing comparison of step C footpath comprises:
C10) in distributing, whole power time delay selects most powerful path,
C11) determine the time of advent in first footpath and the time of advent of most powerful path;
C12) begin in the local most powerful path search window at the end of multipath search window, to select local most powerful path from position with respect to most powerful path hysteresis Alpha microsecond, if in local most powerful path search window, do not have local most powerful path, then get interior noise power maximum of local most powerful path search window or average noise power as local most powerful path;
C13) judge that whether the ratio of most powerful path power and local most powerful path power is greater than predetermined power ratio decision threshold, and whether the difference of the time of advent that the time of advent of judging first footpath correspondence is corresponding with most powerful path is less than predetermined time value, if satisfy simultaneously, then be judged to the LOS propagation path, otherwise be judged to the NLOS propagation path.
The span of above-mentioned power ratio decision threshold is between 2 to 8, and described time value is a chip width, described Alpha value choose width greater than a chip.
The present invention is according to motion of mobile terminals information, in conjunction with based on the NLOS recognition methods of difference power between the footpath with based on the advantage of the NLOS recognition methods of sample coefficient of dispersion, select best NLOS recognition methods to carry out NLOS identification, overcome in the non-array antenna cell mobile communication systems, be not suitable for the shortcoming of the NLOS identification of portable terminal when static based on the NLOS recognition methods of sample coefficient of dispersion, utilized the characteristics that when portable terminal is static, have higher discrimination based on the NLOS recognition methods of difference power between the footpath simultaneously, produced that a kind of static and motion the time can reach the NLOS recognition methods of high discrimination at portable terminal.But the present invention is by select relative time delay bigger footpath as non-visual path to distributing from power time delay, this is directly followed the tracks of, and the power in this footpath carried out N sampling, N the sampled value that storage is obtained, but calculate non-visual path sample coefficient of dispersion, thereby the motion state of judgement portable terminal makes that the extracting method of movable information of the present invention is succinct, realizes easily.
Description of drawings
Fig. 1 has comprised Fig. 1 a and Fig. 1 b, and Fig. 1 a is the fading curve that is the single footpath of this fading characteristic of Lay, and Fig. 1 b is the fading curve that is the single footpath of Rayleigh fading characteristic;
Fig. 2 has comprised Fig. 2 a and Fig. 2 b, and Fig. 2 a is that typical LOS propagation path power time delay distributes 205, and Fig. 2 b is that typical NLOS propagation path power time delay distributes 210;
Fig. 3 is the flow chart of motion state of mobile terminal recognition methods;
Fig. 4 is by the auxiliary NLOS recognition methods flow chart of movable information;
Fig. 5 is the flow chart of described 403b step based on the NLOS recognition methods of sample coefficient of dispersion;
Fig. 6 is the flow chart of described 403a step based on the NLOS recognition methods of difference power between the footpath.
Embodiment
For make purpose of the present invention, technical scheme, and advantage clearer, below with reference to the accompanying drawing embodiment that develops simultaneously, the present invention is described in more detail.
Basic ideas of the present invention are: when portable terminal is kept in motion, adopt the recognition methods based on the NLOS footpath of sample coefficient of dispersion; When portable terminal remains static, adopt recognition methods based on the NLOS propagation path of power between the footpath (or amplitude).
The principle that realizes motion state of mobile terminal identification is: detect certain NLOS footpath of portable terminal or base station, if portable terminal moves, then the sample coefficient of dispersion in this NLOS footpath will be bigger, for example greater than 0.1; If portable terminal is static, then the sample coefficient of dispersion in this NLOS footpath is with smaller, for example less than 0.1.
Cause the principle of above-mentioned sample coefficient of dispersion difference as follows.
Referring to shown in Figure 1.Fig. 1 a is the fading curve that is the single footpath of this fading characteristic of Lay, and the footpath that is this decline is exactly the LOS footpath; Fig. 1 b is the fading curve that is the single footpath of Rayleigh fading characteristic, and the footpath that is this decline is exactly the NLOS footpath.The coordinate transverse axis is represented the distance that portable terminal moves among Fig. 1, and unit is a wavelength.Among Fig. 1 a 103 is average Mu that obtain after all fluctuatings among motion of mobile terminals and the traversing graph 1a, and 101 is standard deviation Sigma; Among Fig. 1 b 106 is average Mu that obtain after all rise and fall (comprising 107,108,109,110 points among Fig. 1 b) among motion of mobile terminals and the traversing graph 1b, the 104th, and standard deviation Sigma.When portable terminal was static, the fading curve 102 or 105 among Fig. 1 spatially also had mobile, but this mobile very slow, in the short period of time, within several seconds, the amplitude in the footpath that static portable terminal receives can not experience big fluctuating.For example, from Fig. 1 b, when portable terminal is static, in time about one second, if portable terminal for the first time Multipath searching to the amplitude in (relevant or incoherent) footpath be the amplitude at 110 places, so, in afterwards each time Multipath searching, the amplitude in the footpath of following the tracks of for same footpath that portable terminal receives is near just fluctuation 110 also, as 111 points that fluctuate.On-the-spot test shows, when portable terminal is static, in the time in several seconds, the amplitude in certain NLOS footpath is repeatedly sampled, for example be concerned with or noncoherent accumulation after, it is suitable to obtain the sample coefficient of dispersion on sample coefficient of dispersion that obtains and the typical LOS channel, all less than 0.1.Therefore, according to above-mentioned rule as can be known, if having determined certain directly is the NLOS footpath, and the coefficient of dispersion of sample in short-term that obtains from this NLOS footpath as 0.1, just can judge that portable terminal is static less than certain thresholding, because if portable terminal moves, its sample coefficient of dispersion will as 0.1, can be realized the identification of motion state thus greater than this thresholding.
In addition, can be directly and select NLOS footpath neatly, for example on power time delay shown in Figure 2 distributes, be in the footpath after the first footpath 201 or 206, as 204,207,209 all being NLOS footpath, gathering the sample coefficient of dispersion in certain footpath in these footpaths and just can determine whether portable terminal moves.
Referring to shown in Figure 3, Fig. 3 is the flow chart of motion state of mobile terminal recognition methods.Its process is as follows:
The first step 301 is finished N the sampled value of power (or amplitude) in the selecting of NLOS footpath, footpath and the storage of sampled value thereof, the position tracking in footpath.Selecting of described NLOS footpath can be NLOS footpath on power time delay on the Serving cell distributes, also can be the NLOS footpath on the neighbor cell power time delay distribution.Carrying out NLOS when directly selecting, according to the i.e. position in footpath of the footpath court verdict of the pilot signal of this sub-district of Multipath searching unit output or adjacent sub-district, select one relative time delay a bigger footpath, any footpath after the promptly first footpath, this footpath must be the NLOS footpath, the power (or amplitude) in this footpath is carried out sampling first time and storing, and the position in this footpath is followed the tracks of, so that the sampling of each time N-1 after carrying out, thereby but to obtain non-visual path sample overall.If on the base station, realize selecting of NLOS footpath, then need to utilize the power time delay of the time-multiplexed pilot of portable terminal up link to distribute to pick out one relative time delay a bigger footpath.Selecting in the step of footpath, to certain NLOS that picks out directly through or do not have through noncoherent accumulation and finish N sampling, the sampling interval is tens to arrive the hundreds of millisecond.
The 3rd step 303, carry out the identification of motion state of mobile terminal, but non-visual path sample coefficient of dispersion and the motion state decision threshold (THR-MOVE) that obtains from empirical data are compared, if sample coefficient of dispersion 〉=THR-MOVE, just be judged to motion of mobile terminals, otherwise it is static to be judged to portable terminal, wherein, THR-MOVE gets about 0.1 usually.
After identifying the motion state of portable terminal, just can realize the identification of NLOS propagation path by assisting of movable information.Referring to shown in Figure 4, Fig. 4 is by the auxiliary NLOS recognition methods flow chart of movable information.Its process is as follows:
The first step 401 is carried out motion state of mobile terminal identification, provides foundation with the selecting of recognizer of thinking the second step NLOS propagation path, and this step is made up of substep shown in Figure 3;
Second step 402, finishing algorithm according to the motion recognition result of step 401 output selects, if portable terminal is kept in motion, just adopt NLOS recognition methods based on the sample coefficient of dispersion, and then execution 403b, if portable terminal remains static, just adopt NLOS recognition methods based on difference power between the footpath, and then execution in step 403a.
Referring to shown in Figure 5, Fig. 5 is the flow chart of described 403b step based on the NLOS recognition methods of sample coefficient of dispersion, and its process is as follows:
The first step 501, wait for the power time delay distributed data of Multipath searching unit output, distribute to obtain power time delay, this power time delay distributed data can be the Multipath searching unit output by portable terminal, also can be the Multipath searching unit output of base station, can be through noncoherent accumulation, also can be without noncoherent accumulation;
In second step 502, carry out selecting of N most powerful path, and store all most powerful path power (or amplitude).Can select most powerful path in whole search window, also can be for the first time to select most powerful path in whole search window, then near the most powerful path of picking out for the first time as about carry out selecting of other N-1 most powerful path in a chip;
The 3rd goes on foot 503, has judged whether to collect the power (or amplitude) of N most powerful path, if less than N time, just returns the output that the first step 501 continues to wait for the Multipath searching unit, if arrived N time, just enters step 504; Wherein N can be several or tens;
In the 4th step 504, it is overall to obtain the distribution of multipath time delay sample according to N most powerful path power, carries out the calculating of distribution of multipath time delay sample coefficient of dispersion; The computational methods of distribution of multipath time delay sample coefficient of dispersion can be method basis of calculation difference and the averages by statistics, ask for the ratio of standard deviation and average again, also can calculate the mean value of absolute value sum of the difference of N sample and sample average earlier, this mean value is poor as approximate test, ask for the ratio of approximate test difference and average again, obtain distribution of multipath time delay sample coefficient of dispersion approx;
In the 5th step 505, identification NLOS compares sample coefficient of dispersion and the NLOS decision threshold (THR-NLOS) that obtains from empirical data, if sample coefficient of dispersion 〉=THR-NLOS just is judged to NLOS, otherwise, be judged to LOS, wherein, THR-NLOS gets about 0.1 usually.
Referring to shown in Figure 6, Fig. 6 is the flow chart of described 403a step based on the NLOS recognition methods of difference power between the footpath, and its process is as follows:
The first step 601 is selected the maximum footpath of power (or amplitude), i.e. most powerful path in whole power time delay distributes;
In second step 602, determine the time of advent in first footpath and the time of advent of most powerful path;
The 3rd step 603, whether judgement is with respect to there being the footpath to exist in the most powerful path hysteresis Alpha microsecond, if enter step 604, from position with respect to most powerful path hysteresis Alpha microsecond, end until multipath search window, in this scope, choose local most powerful path, promptly in the search window width range of the local most powerful path shown in Fig. 2 a or Fig. 2 b, select local most powerful path, otherwise enter step 605, get interior noise power (or amplitude) maximum of local most powerful path search window or average noise power as local most powerful path; The interval of choosing local most powerful path after most powerful path and and the be separated by purpose of Alpha microsecond of most powerful path be in order to avoid in the LOS channel immediately following the footpath of the strong reflection behind most powerful path, choosing of Alpha value should be greater than the width of a chip.
The 4th step 606, whether the ratio of judging most powerful path power (or amplitude) and local most powerful path power (or amplitude) is greater than predetermined electric power ratio decision threshold K, and whether the difference of the time of advent that the time of advent of judging first footpath correspondence is corresponding with most powerful path is less than predetermined chip width T, if satisfy simultaneously, then be judged to the LOS propagation path, otherwise be judged to the NLOS propagation path.Wherein, the K value choose the compromise that need consider discrimination and False Rate, the value of general K is chosen between 2～8, T is a chip width.
The present invention is auxiliary by motion of mobile terminals information, to combine with NLOS recognition methods based on the NLOS recognition methods of sample coefficient of dispersion, realize based on the NLOS recognition methods of sample coefficient of dispersion and based on the mutual supplement with each other's advantages of the NLOS recognition methods of difference power between the footpath based on difference power between the footpath.
Claims (10)
1, the recognition methods of non-visual propagation path in a kind of mobile system is characterized in that this method may further comprise the steps:
A) but distribute from power time delay and to select any one footpath after the first footpath as non-visual path, this is directly followed the tracks of, and the power in this footpath is carried out N time sample, obtain sampled value N time;
B) but N the sampled value that is obtained is overall as non-visual path sample, but calculate non-visual path sample coefficient of dispersion;
C) but judge non-visual path sample coefficient of dispersion whether more than or equal to predetermined motion state decision threshold, if judgement portable terminal is a motion state, adopt the method for calculating distribution of multipath time delay sample coefficient of dispersion to discern non-visual propagation path then; Otherwise the judgement portable terminal is an inactive state, adopts the method that compares difference power between the footpath to discern non-visual propagation path then.
2, method according to claim 1 is characterized in that, the power time delay that described power time delay is distributed as Serving cell distributes, and perhaps is that the power time delay of neighbor cell distributes.
3, method according to claim 1 is characterized in that, described any one after first footpath is selected in the power time delay distribution of steps A directly is to select according to the position in the footpath of the pilot signal of this sub-district of Multipath searching unit output or adjacent sub-district.
4, method according to claim 1 is characterized in that, steps A is described to distribute from power time delay that to select after the first footpath any one directly be that the power time delay distribution according to the time-multiplexed pilot signal of portable terminal up link is selected in the base station.
5, method according to claim 1, it is characterized in that, but the non-visual path sample of the described calculating of step B coefficient of dispersion comprises: but totally calculate the average and the standard deviation of sample according to non-visual path sample, ask for the ratio of standard deviation and mean value, but with this ratio as non-visual path sample coefficient of dispersion.
6, method according to claim 1 is characterized in that, but the non-visual path sample of the described calculating of step B coefficient of dispersion comprises:
B01) but totally calculate the average of sample according to non-visual path sample;
B02) calculate the absolute value of each sample and equal value difference, and calculate resulting average absolute, this mean value is poor as approximate test;
B03) ask for the ratio of approximate test difference and average, but with this ratio as non-visual path sample coefficient of dispersion.
7, method according to claim 1 is characterized in that, the step that the method for the described employing calculating of step C distribution of multipath time delay sample coefficient of dispersion is discerned non-visual propagation path comprises:
C01) wait for the power time delay distributed data that the Multipath searching unit is exported,
C02) select most powerful path and store this most powerful path power, judge whether to have selected N most powerful path power,, otherwise return step C01 if then go to step C03;
C03) N the most powerful path power of being selected is overall as the distribution of multipath time delay sample, carry out the calculating of distribution of multipath time delay sample coefficient of dispersion, distribution of multipath time delay sample coefficient of dispersion and the distribution of multipath time delay sample coefficient of dispersion decision threshold of being scheduled to are compared, if the sample coefficient of dispersion is more than or equal to non-visual decision threshold, just be judged to non-visual propagation path, otherwise, be judged to visual propagation path.
8, method according to claim 7 is characterized in that,
The described power time delay distributed data of step C01 is to be exported by the Multipath searching unit of portable terminal, or export by the Multipath searching unit of base station;
The described most powerful path of step C02 is selected in whole search window, or selects first most powerful path earlier in whole search window, selects all the other N-1 most powerful path then near this first most powerful path;
The described calculating of carrying out distribution of multipath time delay sample coefficient of dispersion of step C03 comprises, totally calculate the average and the standard deviation of sample according to the distribution of multipath time delay sample, ask for the ratio of the average of standard deviation and sample, with this ratio as distribution of multipath time delay sample coefficient of dispersion, perhaps, totally calculate the average of its sample earlier according to the distribution of multipath time delay sample, calculate the absolute value of each sample and equal value difference then, and calculate resulting average absolute, this mean value is poor as approximate test, ask for the ratio of approximate test difference and average again, but with this ratio as non-visual path sample coefficient of dispersion.
9, method according to claim 1 is characterized in that, the step that the method for difference power is discerned non-visual propagation path between the described employing comparison of step C footpath comprises:
C10) in distributing, whole power time delay selects most powerful path,
C11) determine the time of advent in first footpath and the time of advent of most powerful path;
C12) begin in the local most powerful path search window at the end of multipath search window, to select local most powerful path from position with respect to most powerful path hysteresis Alpha microsecond, if in local most powerful path search window, do not have local most powerful path, then choose interior noise power maximum of local most powerful path search window or average noise power as local most powerful path power;
C13) judge that whether the ratio of most powerful path power and local most powerful path power is greater than predetermined power ratio decision threshold, and whether the difference of the time of advent that the time of advent of judging first footpath correspondence is corresponding with most powerful path is less than predetermined time value, if satisfy simultaneously, then be judged to visual propagation path, otherwise be judged to non-visual propagation path.
10, method according to claim 9 is characterized in that, the span of described power ratio decision threshold is between 2 to 8, and described predetermined time value is a chip width, described Alpha value choose width greater than a chip.
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| CN101893707B (en) * | 2010-05-27 | 2012-06-27 | 华为技术有限公司 | Method and device for identifying non-line-of-sight propagation and base station |
| CN102355530A (en) * | 2011-09-27 | 2012-02-15 | 周小伟 | Method for judging motion state of mobile terminal via signal strength fluctuation |
| CN104125021B (en) * | 2013-04-28 | 2016-12-28 | 华为技术有限公司 | A kind of method of kinestate identifying mobile terminal and mobile terminal |
| CN103532647B (en) * | 2013-10-14 | 2015-04-29 | 无锡清华信息科学与技术国家实验室物联网技术中心 | Sight distance propagation path judging method on basis of time domain features of WiFi (Wireless Fidelity) physical layer |
| CN105101393B (en) * | 2014-05-19 | 2018-08-31 | 中兴通讯股份有限公司 | Wireless synchronization method and wireless synchronization master |
| CN106779239A (en) * | 2016-12-30 | 2017-05-31 | 天津博迈科海洋工程有限公司 | Virtual track planing method in regulator cubicle handling process |
| CN108040328B (en) * | 2017-11-30 | 2020-09-04 | 深圳无线电检测技术研究院 | Method and device for testing communication performance of wireless terminal |
| CN116126144B (en) * | 2023-01-16 | 2023-08-22 | 上海物骐微电子有限公司 | Gesture recognition method and device based on PDP, electronic equipment and storage medium |
| CN116074835B (en) * | 2023-01-16 | 2024-09-10 | 上海物骐微电子有限公司 | Gesture recognition method and device based on WiFi, electronic equipment and storage medium |
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