CN1260981C - Non-visibility method for recognizing propagation path in mobile communication system - Google Patents
Non-visibility method for recognizing propagation path in mobile communication system Download PDFInfo
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- CN1260981C CN1260981C CN 02146694 CN02146694A CN1260981C CN 1260981 C CN1260981 C CN 1260981C CN 02146694 CN02146694 CN 02146694 CN 02146694 A CN02146694 A CN 02146694A CN 1260981 C CN1260981 C CN 1260981C
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Abstract
The present invention discloses a recognition method of a non-visual propagation path in a mobile communication system, which comprises the following processing procedures: A) acquiring multipath time delay distribution corresponding to signals received by each array antenna at receiving ends of array antennas which are used; B) selecting samples of each multipath time delay distribution, obtaining sample totality, and calculating sample dispersion coefficient; C) comparing the sample dispersion coefficient to a preconcerted threshold, and recognising the non-visual propagation path, a visual recognition path and a quasi-visual recognition path. The present invention has the advantages that the present invention can quickly and accurately carry out NLOS recognition, the real time is enhanced, the implementation method is simple, and the recognition rate is high.
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 that utilizes array antenna received to realize non-visual propagation path of portable terminal location.
Background technology
In mobile communication system, because non-visual propagation path makes the propagated time delay evaluated error between portable terminal and the base station increase, have a strong impact on the portable terminal positioning accuracy, therefore non-visual propagation path (NLOS) identification is an effective technical way that improves the portable terminal positioning accuracy.
NLOS recognition technology in the mobile terminal location system is at first discussed in the paper that is entitled as " Non-Line of Sight Problem in Mobile Location Estimation " (to call document 1 in the following text) by M.P.Wylie, in September, 1997, M.P.Wylie has submitted the patent application US 5 of NLOS error in a rectification portable terminal location to USPO, 974,329 (to call document 2 in the following text), as a key element that constitutes its invention, the basic ideas of the NLOS recognition methods described in document 1 and the document 2 are: (1) carries out long record to the portable terminal that each base station measurement obtains to the distance between this base station to this patent with the NLOS recognition technology; (2) mass data of record is carried out smoothing processing; (3) utilize this fact of measurement variance (this variance is caused by systematic measurement error) when measuring variance (with respect to the data after level and smooth, this variance causes with systematic measurement error by landforms are special seized with terror) under the NLOS situation to carry out NLOS identification much larger than LOS.
The NLOS recognition methods that proposes in document 1 and the document 2 need utilize the temporal correlation of portable terminal, track to the portable terminal in the motion carries out the tracking of long period and smoothly just can export the NLOS recognition result, need the long data accumulation time, therefore easily produce big time delay, be difficult to satisfy the requirement of FCC (Federal Communications Committee) to the response time, do not possess real-time, the visual route identification when only being applicable to motion of mobile terminals.
Summary of the invention
The object of the present invention is to provide the recognition methods of non-visual propagation path in a kind of mobile communication system,, improve the real-time of NLOS identification to carry out NLOS identification rapidly and accurately at portable terminal.
The present invention realizes by following concrete scheme:
The recognition methods of non-visual propagation path in a kind of mobile communication system is characterized in that comprising following treatment step:
A) obtain the distribution of multipath time delay of each array antenna received signal correspondence at the receiving terminal that uses array antenna;
B) select the sample of each distribution of multipath time delay, it is overall to obtain sample, calculates the sample coefficient of dispersion;
C) the sample coefficient of dispersion is compared with the first predetermined thresholding, whether the judgement sample coefficient of dispersion is not less than the first predetermined thresholding, if then judgement is non-visual propagation path, otherwise, adjudicate and be visual propagation path.
Wherein, described steps A comprises:
A01) each array antenna receives each road signal independently simultaneously;
A02) matched filter each road signal of being received of each array antenna of matched filtering respectively.
Preferably, described steps A 02 comprises that the signal parallel ground to each array antenna received carries out matched filtering, side by side obtains the distribution of multipath time delay of each array antenna correspondence.
Preferably, described steps A 02 comprises that the signal to each array antenna received one by one carries out matched filtering, obtains the distribution of multipath time delay of each array antenna correspondence seriatim.
In addition, preferably, the described calculating sample of described step B coefficient of dispersion comprises: totally calculate the average and the standard deviation of sample according to sample, ask for the ratio of standard deviation and average, acquisition sample coefficient of dispersion.
Preferably, the described calculating sample of described step B coefficient of dispersion comprises:
B01) totally calculate the average of sample according to sample;
B02) calculate the absolute value of each sample and equal value difference, and calculate this average absolute, this mean value is poor as approximate test;
B03) ask for the ratio of approximate test difference and average, obtain the sample coefficient of dispersion.
Preferably, the described judgement of step C is that visual propagation path further comprises:
C01) further set in advance second thresholding, and first thresholding is set greater than second thresholding;
C02) if the sample coefficient of dispersion is compared the sample coefficient of dispersion less than second thresholding with first thresholding and second thresholding, then be judged to visual propagation path; If the sample coefficient of dispersion greater than second thresholding and less than first thresholding, then is judged to and will definitely looks propagation path.
Above-mentioned distribution of multipath time delay can be that power time delay distributes, and also can be amplitude time delay distribution.
Above-mentioned sample can be the most powerful path on the distribution of multipath time delay, also can be the first footpath on the distribution of multipath time delay.
The present invention is owing to adopt array antenna received to transmit, and carry out the distribution of multipath time delay of matched filtering respectively with the signal correspondence obtaining each antenna and receive, the portable terminal that does not need each base station measurement is obtained carries out long record to the distance between this base station, also need not carry out smoothing processing to the mass data of record, can carry out NLOS identification rapidly and accurately, improved real-time, implementation method is simple, the discrimination height; By adopting dual-threshold judgement, not only can effectively distinguish NLOS, visual propagation path (LOS) propagation, and can distinguish accurate LOS and propagate, improved the accuracy of NLOS identification; Because the present invention is the difference under LOS and NLOS environment according to most powerful path fading characteristic or first footpath fading characteristic, be not only applicable to the situation of motion of mobile terminals, also be applicable to the situation that portable terminal is static.
Description of drawings
Fig. 1 has comprised Fig. 1 a and Fig. 1 b, the difference of signal intensity profile characteristic under LOS and NLOS environment that each antenna receives in the expression array antenna, wherein, Fig. 1 a is the intensity curves that the synchronization array antenna received arrives under the LOS environment, and Fig. 1 b is the intensity curves that the synchronization array antenna received arrives under the NLOS environment;
Fig. 2 utilizes array antenna received to realize the flow process of non-visual propagation path identification.
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.
Referring to shown in Figure 1, Fig. 1 has represented the difference of signal intensity profile characteristic under LOS and NLOS environment that each antenna receives in the array antenna.Fig. 1 a is the intensity curves that the synchronization array antenna received arrives under the LOS environment, and Fig. 1 b is the intensity curves that the synchronization array antenna received arrives under the NLOS environment.From Fig. 1 as seen, signal intensity profile characteristic on the synchronization array antenna different antennae there are differences respectively, signal intensity profile characteristic curve 101 is obeyed this fading characteristic of Lay under the LOS environment, signal intensity profile characteristic curve 102 is obeyed the Rayleigh fading characteristic under the NLOS environment, the difference of this fading characteristic mainly is that the decline by channel causes, the most direct performance be exactly sample coefficient of dispersion σ/μ in the value under the NLOS environment significantly greater than the value under the LOS environment.The present invention utilizes the otherness of the sample coefficient of dispersion of the signal intensity profile characteristic that each antenna receives in the array antenna to carry out NLOS identification.
Referring to shown in Figure 2, Fig. 2 utilizes array antenna received to realize the flow process of non-visual propagation path identification, is divided into for 4 steps:
The first step 201, utilize array antenna received to multiple signals obtain a plurality of distribution of multipath time delay.Each antenna of array antenna receives each road signal independently, and matched filter carries out matched filtering respectively to obtain the distribution of multipath time delay of each road signal correspondence to each road signal.Above-mentioned distribution of multipath time delay can be that power time delay distributes, and also can be amplitude time delay distribution; Can also can be single noncoherent accumulation result through noncoherent accumulation repeatedly; Above-mentioned matched filter can carry out matched filtering to the signal parallel that each antenna receives, side by side obtain the distribution of multipath time delay of each antenna correspondence, also can be to handle one by one, after the received signal of an antenna is carried out matched filtering obtaining a distribution of multipath time delay, again the received signal of another antenna is carried out matched filtering to obtain another distribution of multipath time delay.
Second step 202, from each distribution of multipath time delay that the first step obtains, select sample, each distribution of multipath time delay is carried out most powerful path (or first footpath) judgement, and the power (or amplitude) of storage most powerful path (or first footpath), it is overall that the power (or amplitude) of most powerful path on each distribution of multipath time delay of storage (or first footpath) is calculated needed sample as the sample coefficient of dispersion.
The 3rd step 203 totally was the power (or amplitude) in a plurality of most powerful paths (or first footpath) according to second sample that obtain of step, calculated the average and the standard deviation of these samples by statistical method, and the sample coefficient of dispersion is the ratio of standard deviation and average.Also can at first calculate the poor of each sample and their averages, and ask the absolute value sum of these differences, will be somebody's turn to do and be worth then on average to obtain approximate test poor, the sample coefficient of dispersion that this approximate test difference is obtained being similar to divided by average.
The 4th step 204, compare with the sample coefficient of dispersion of 203 outputs and from the decision threshold that empirical data is obtained, carry out NLOS identification, can use the simple gate limit during identification, get 0.1, also can use double threshold as thresholding, and thresholding 1＞thresholding 2 is set, and get 0.2 as thresholding 1, O.1 thresholding 2 is got.When adopting the simple gate limit, sample coefficient of dispersion and simple gate limit are compared, if the sample coefficient of dispersion more than or equal to thresholding, just is judged to NLOS, if the sample coefficient of dispersion is judged to LOS less than thresholding.When adopting double threshold,,,, just be judged to accurate LOS if between two thresholdings if the sample coefficient of dispersion less than thresholding 2, just is judged to LOS if the sample coefficient of dispersion greater than thresholding 1, just is judged to NLOS.For the subsequent treatment of above-mentioned court verdict, do not belong to problem to be solved by this invention, no longer describe at this.
Except the sample coefficient of dispersion that utilizes power (or amplitude) directly, can also utilize the sample coefficient of dispersion of the signal interference ratio in footpath to carry out NLOS identification.
Claims (9)
1, the recognition methods of non-visual propagation path in a kind of mobile communication system is characterized in that comprising following treatment step:
A) obtain the distribution of multipath time delay of each array antenna received signal correspondence at the receiving terminal that uses array antenna;
B) select the sample of each distribution of multipath time delay, it is overall to obtain sample, calculates the sample coefficient of dispersion;
C) the sample coefficient of dispersion is compared with the first predetermined thresholding, if the sample coefficient of dispersion is not less than the first predetermined thresholding, then judgement is non-visual propagation path, otherwise, adjudicate and be visual propagation path.
2, recognition methods according to claim 1 is characterized in that, described steps A comprises:
A01) each array antenna receives each road signal independently simultaneously;
A02) matched filter each road signal of being received of each array antenna of matched filtering respectively.
3, recognition methods according to claim 2 is characterized in that, described steps A 02 comprises that the signal parallel ground to each array antenna received carries out matched filtering, side by side obtains the distribution of multipath time delay of each array antenna correspondence.
4, recognition methods according to claim 2 is characterized in that, described steps A 02 comprises that the signal to each array antenna received one by one carries out matched filtering, obtains the distribution of multipath time delay of each array antenna correspondence seriatim.
5, recognition methods according to claim 1 and 2, it is characterized in that, the described calculating sample of described step B coefficient of dispersion comprises: totally calculate the average and the standard deviation of sample according to sample, ask for the ratio of standard deviation and average, with this ratio as the sample coefficient of dispersion.
6, recognition methods according to claim 1 and 2 is characterized in that, the described calculating sample of described step B coefficient of dispersion comprises:
B01) totally calculate the average of sample according to sample;
B02) calculate the absolute value of each sample and equal value difference, and calculate this average absolute, this mean value is poor as approximate test;
B03) ask for the ratio of approximate test difference and average, with this ratio as the sample coefficient of dispersion.
7, recognition methods according to claim 1 and 2 is characterized in that, the described judgement of step C is that visual propagation path further comprises:
C01) further set in advance second thresholding, and first thresholding is set greater than second thresholding;
C02) the sample coefficient of dispersion is compared with first thresholding and second thresholding, if the sample coefficient of dispersion less than second thresholding, then is judged to visual propagation path; If the sample coefficient of dispersion greater than second thresholding and less than first thresholding, then is judged to and will definitely looks propagation path.
8, recognition methods according to claim 1 and 2 is characterized in that, described distribution of multipath time delay is that power time delay distributes, or amplitude time delay distribution.
9, recognition methods according to claim 1 and 2 is characterized in that, described sample is the most powerful path on the distribution of multipath time delay, or the first footpath on the distribution of multipath time delay.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 02146694 CN1260981C (en) | 2002-11-05 | 2002-11-05 | Non-visibility method for recognizing propagation path in mobile communication system |
| AU2003261580A AU2003261580A1 (en) | 2002-11-05 | 2003-08-28 | A method for identifying the channels |
| PCT/CN2003/000726 WO2004043089A1 (en) | 2002-11-05 | 2003-08-28 | A method for identifying the channels |
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| Application Number | Priority Date | Filing Date | Title |
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| CN 02146694 CN1260981C (en) | 2002-11-05 | 2002-11-05 | Non-visibility method for recognizing propagation path in mobile communication system |
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| CN1499849A CN1499849A (en) | 2004-05-26 |
| CN1260981C true CN1260981C (en) | 2006-06-21 |
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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 |
| CN101924594B (en) * | 2010-09-16 | 2012-12-26 | 华中科技大学 | Method for judging radio testing environment under the condition of external field |
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