CN1642334A - Method for estimating moving speed of mobile station - Google Patents
Method for estimating moving speed of mobile station Download PDFInfo
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- CN1642334A CN1642334A CN 200410000988 CN200410000988A CN1642334A CN 1642334 A CN1642334 A CN 1642334A CN 200410000988 CN200410000988 CN 200410000988 CN 200410000988 A CN200410000988 A CN 200410000988A CN 1642334 A CN1642334 A CN 1642334A
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Abstract
The invention relates to a method for estimating moving speed of a mobile station, including the steps: sampling many complex valued decay factors of wireless channel; calculating multiorder complex-domain self-correlated value of these decay factors; calculating relative variation of each order self-correlated value; according to the obtained variation values, searching comparison table or curve of the self-correlated value of decay factor with moving speed estimation of mobile station and estimating the current moving speed of the mobile station. The invention can use smaller calculation to implement high-accuracy moving speed estimation for mobile station.
Description
Technical field
The present invention relates to moving communicating field, refer to especially in the cell mobile communication systems, to a kind of method of estimation of travelling carriage translational speed.
Background technology
In cell mobile communication systems, know that the speed of travelling carriage is extremely important to system.For example in the network planning, can allow translational speed faster travelling carriage enter macrocell, allow the slower travelling carriage of translational speed enter Microcell, can reduce the travelling carriage switching rate like this, reduce cutting off rate.At CDMA (Code DivisionMultiple Access, code division multiple access) in the system, the effect of translational speed is more obvious, not only can be used for optimizing many parameters relevant in the RRM with translational speed, as power control, also can be used for optimizing the many parameters in the base band algorithm, as the frequency of following the tracks of and searching for, the filter bandwidht of channel estimating etc.Therefore, in mobile communication system, the correct translational speed that estimates travelling carriage, just Doppler frequency shift can be optimized the many parameters in the mobile communication system, improves the performance of mobile communication system greatly.
Proposed many method for estimating movement speed at present, typical method has two big classes: pass through method and correlation method.But all there are various shortcomings in these two class methods, and the method for passing through has multiple implementation, but the signal interference ratio that requires is than higher, and very big with the actual environment relation, and may not satisfy this requirement in cdma system.Correlation method also has multiple mode, all be relevant with the auto-correlation of asking the wireless channel fading factor, but also there are some shortcomings in these modes, and is big as amount of calculation, in close relations with actual environment, estimates to be forbidden etc.
The most classical method for estimating movement speed is exactly FFT (Fast FourierTransform, a fast fourier transform) method in the prior art, and it is a kind of of correlation method, because the frequency spectrum that FFT obtains itself is exactly the Fourier transform of auto-correlation function.This method is exactly to obtain the wireless channel fading factor earlier, utilizes the FFT method that fading factor is asked frequency spectrum then, and surpassing certain thresholding and corresponding Doppler frequency shift largest peaks on the spectrogram is exactly maximum doppler frequency, just translational speed.
This method thinking is more clear, and result and adaptability are all good.But the amount of calculation of FFT is very big, so this method is cost with the amount of calculation, and the estimated accuracy of expectation is high more, and amount of calculation is big more.Be reflected in the realization, because amount of calculation is too big, the expense of realization is big especially, realizes that cost is very high.
Because the amount of calculation of FFT method is too big, utilizes correlation method so propose many other classes at present.These class methods are that classical Rayleigh spectral function is as follows based on the function of classical Rayleigh spectrum substantially:
Utilizing this function to carry out various mathematical derivations then, generally is the auto-correlation function of releasing classical Rayleigh spectrum earlier, carries out other derivation then, obtains various formula at last.These formula of autocorrelation value substitution that will utilize the wireless channel fading factor to obtain then estimate translational speed at last.
Said method is to release various formula according to classical Rayleigh spectrum formula through mathematical derivation, then actual these formula of fading factor autocorrelation value substitution that obtain is obtained Doppler frequently, so amount of calculation is very little comparatively speaking for this method, implements simple.But this method is to obtain according to classical Rayleigh spectrum formula, and wireless channel alters a great deal in the actual environment, can not obey this distribution.This method is estimated very accurate under classical Rayleigh spectrum channel, but estimated result is not right in actual channel.So this method does not have much practical significances, only can be used for theoretical research.
Because above-mentioned correlation method is to adopt the formula of classical Rayleigh spectrum to release, and almost can only be adapted to the wireless environment of classical Rayleigh spectrum, does not have real value.So be to utilize the auto-correlation of fading factor to change the height that size is weighed translational speed in the reality.For example obtain each amplitude size of fading factor constantly earlier, then these fading factors are carried out filtering, obtain each fading factor range value A constantly
1, A
2... A
K, ask the auto-correlation result according to these fading factors then:
In general this method is just obtained R
AA(0) and R
AA(1), weighs translational speed with the variation size of these two values, as R
AA(0)/R
AA(1) then be at a high speed greater than a certain threshold T, otherwise be low speed, also can be according to R
AA(0)/R
AA(1) changes big young pathbreaker's translational speed and be divided into third gear.
This method can adapt to various wireless environments by adjusting threshold value, but also there are some shortcomings in this method, because the noise existence, must be to fading factor range value A
1, A
2... A
KFiltering, filter bandwidht is too little then to have changed real fading factor, influences R
AA(0)/R
AA(1) size, filter bandwidht is excessive, and then to suppress the noise ability too poor, influences R equally
AA(0)/R
AA(1) result.Estimating to be forbidden so this method is general, utilize this method also just translational speed to be divided into two grades, is to be used for optimizing upper-layer parameters basically, and the physical layer parameter optimization that moving speed estimation is had relatively high expectations has little significance.
Summary of the invention
The existing shortcoming of various method for estimating movement speed in view of existing in the above-mentioned prior art the invention provides the moving speed estimation for mobile station method that a kind of amount of calculation is little, estimated accuracy can be adjusted according to actual needs.
The invention provides a kind of moving speed estimation for mobile station method, comprise the following steps:
A) a plurality of complex values fading factors of sampling wireless channel;
B) the multistage complex field autocorrelation value of the above-mentioned a plurality of fading factor samples of calculating;
C) calculate the relative variation size of each rank autocorrelation value;
D) according to step C) the auto-correlation changing value that obtains, search fading factor auto-correlation changing value and the moving speed estimation for mobile station table of comparisons or control curve, estimate this travelling carriage current movement speed size.
Described steps A) method of sampling fading factor is in: wireless channel is separated the fading factor that timing obtains carry out cumulative mean with a selected time interval.
Described step B) comprises the real part numerical value (imaginary part numerical value or mould value) of choosing the multistage complex field autocorrelation value that calculates; Described step C) comprises the relative variation size of calculating each rank autocorrelation value real part numerical value (imaginary part numerical value or mould value).
The relative variation size of each rank autocorrelation value real part numerical value (imaginary part numerical value or mould value) of described calculating comprising: the 1st rank, the 2nd rank, the 3rd rank that calculate fading factor respectively ... (imaginary part numerical value or mould value) ratio of N rank autocorrelation value and the 0th rank autocorrelation value real part.
According to said method of the present invention, more comprise following concrete steps:
According to the ratio of the 1st rank autocorrelation value and the 0th rank autocorrelation value real part (imaginary part numerical value or mould value), estimate first translational speed of travelling carriage;
If first translational speed estimates the maximum translational speed scope of second translational speed of travelling carriage greater than the ratio according to the 2nd rank autocorrelation value and the 0th rank autocorrelation value real part (imaginary part numerical value or mould value), then with first translational speed as the travelling carriage current movement speed, finish the velocity estimation flow process; Otherwise, continue the following step;
According to the ratio of the 2nd rank autocorrelation value and the 0th rank autocorrelation value real part (imaginary part numerical value or mould value), estimate second translational speed of travelling carriage;
If second translational speed estimates the maximum translational speed scope of the 3rd translational speed of travelling carriage greater than the ratio according to the 3rd rank autocorrelation value and the 0th rank autocorrelation value real part (imaginary part numerical value or mould value), then with second translational speed as the travelling carriage current movement speed, finish the velocity estimation flow process; Otherwise, continue the following step;
......
According to the ratio of N-1 rank autocorrelation value and the 0th rank autocorrelation value real part (imaginary part numerical value or mould value), estimate the N-1 translational speed of travelling carriage;
If the N-1 translational speed estimates the maximum translational speed scope of N translational speed of travelling carriage greater than the ratio according to N rank autocorrelation value and the 0th rank autocorrelation value real part (imaginary part numerical value or mould value), then with the N-1 translational speed as the travelling carriage current movement speed, otherwise, the N translational speed as the travelling carriage current movement speed, is finished the velocity estimation flow process.
According to said method of the present invention, the described fading factor auto-correlation changing value and the moving speed estimation for mobile station table of comparisons or control curve can obtain according to the method for theoretical derivation, laboratory simulations or practical radio communication environment test.
Compared with prior art there is following beneficial effect in the inventive method:
1, amount of calculation is little, realizes simple.Because the operational computations amount such as table look-up of auto-correlation computation that sample rate is not high and back is all little, realize simple.Can also reduce implementation complexity according to actual estimated precision and area requirement in addition, show: reduce the complexity of searching translational speed form or curve, pre-determine certain sample rate and auto-correlation exponent number.
2, the signal interference ratio scope of Shi Yinging is wide, the precision height of estimation, and the estimating speed scope is wide.Because the auto-correlation computation of complex field had both changed auto-correlation result's actual value unlike filter, can eliminate the influence of noise again to estimated result, improve estimated accuracy and signal interference ratio accommodation greatly.Can also make full use of the variation of sample rate and the balance that the auto-correlation exponent number is realized estimated accuracy and estimating speed scope.
3, be applicable to various wireless environments, because autocorrelation value changes in different size under the different wireless environments, the form parameter of the translational speed that this method can be searched by adjustment or the parameter of curve of match are suitable for various wireless environments, can change parameter according to the environment and the empirical value of different districts in the reality.
4, the translational speed of Gu Jiing is very useful in mobile communication system.With the base band demodulating is example, the filter bandwidht that utilizes the translational speed of estimating to regulate channel estimating just can be adapted to various wireless channels, make various wireless channels all obtain optimal performance, emulation shows, utilizes translational speed to regulate filter bandwidht and can improve systematic function greatly.The translational speed of Gu Jiing can be used for adjusting network layer and network planning parameter in addition.
Description of drawings
Fig. 1 is a moving speed estimation flow chart of the present invention.
Fig. 2 estimates the translational speed flow chart for utilizing different auto-correlation exponent numbers.
Embodiment
The present invention utilizes wireless channel fading factor autocorrelation value to change the size that size is weighed translational speed, and Fig. 1 is the flow chart of moving speed estimation of the present invention.
Referring to Fig. 1, at first obtain the fading factor of wireless channel, in the base band demodulating of CDMA, need know the fading factor of wireless channel, so just can utilize this fading factor to carry out velocity estimation.The fading factor sample rate that obtains in the base band demodulating is bigger, and the sample rate that is used for velocity estimation does not need too big.Sample rate is big more, and the translational speed scope of estimation is big more, in CDMA generally about 1.5kHz just.Because it is very big to separate the fading factor sample rate that timing obtains, and actual Doppler frequency shift generally can be much smaller than this value, just the fading factor in a period of time is identical, so the fading factor that demodulation can be obtained carries out cumulative mean.Like this, fading factor is carried out cumulative mean not only can down-sampledly arrive the sample rate that velocity estimation needs, cumulative mean also can improve the signal interference ratio of fading factor, improves the precision of velocity estimation.Here, fading factor is a complex values.
Asking auto-correlation partly is exactly to get the plural fading factor of process accumulation process of some as sample, asks the auto-correlation result of fading factor.Suppose that the fading factor sample is x (t), asks auto-correlation result's computing formula as follows
Corr_length number of samples when asking auto-correlation in the following formula, autocorrelative number of samples (correlation length) can be adjusted according to actual conditions.Re represents to take from the real part of correlated results, x
*(t) be the conjugation of x (t).Ask auto-correlation to need to obtain R (0) and R (1) two rank at least, it is multistage also can to obtain R (2), R (3) etc. according to the precision of velocity estimation and area requirement, in general, the precision of estimating to R (3) back is very high, can require and realize the expense decision according to estimated accuracy in the specific implementation.It is example to calculate R (3) all that the back is described, and just i gets 0,1,2,3 four value and gets final product in the following formula.
In fact auto-correlation denoising as a result is exactly the noise section of eliminating among the auto-correlation result.Because cdma system is a noise factor, so the fading factor that obtains previously all comprises noise, supposes that fading factor is
x(t)＝x
a(t)+x
n(t)，
x
a(t) be the true fading factor of wireless channel, x
n(t) be noise, because signal and noise are incoherent, so the auto-correlation result:
R(i)＝R
a(i)+R
n(i)
R wherein
a(i) be x
a(t) auto-correlation result, R
n(i) be x
n(t) auto-correlation result, clearly, the auto-correlation result who needs in the velocity estimation is R
a(i).Because noise is incoherent, so R
n(0) equals noise energy, other correlation such as R
n(1) be 0.So the R (0) that obtains according to fading factor comprises because the noise energy part R that noise causes
nAnd R (1), R (2), R (3) are exactly true fading factor x (0),
a(t) auto-correlation result.So R should deduct noise energy R in (0)
n(0), generally need obtain noise energy in the CDMA demodulation, so can directly utilize noise energy to obtain auto-correlation R (0) as a result behind the denoising.
By top analysis as can be seen, correlation length corr_length is long more, it is more little to be equivalent to filter bandwidht, auto-correlation result is affected by noise more little, the auto-correlation result of approaching more true fading factor so thisly ask autocorrelative method not only can eliminate the influence of noise to the auto-correlation result to plural fading factor, does not need filter to fading factor filtering yet, thereby cause fading factor to change, influence estimated result.But the oversize words of correlation length are also just slack-off to the response that translational speed changes.
Because this method is to change size with autocorrelation value to weigh translational speed, thus need obtain R (1)/R (0), R (2)/R (0) and R (3)/R (0), so that as the measurement sign of translational speed size.
Be that example is described moving speed estimation with R (1)/R (0) earlier.Translational speed is fast more, and autocorrelation value changes more greatly, so R (1)/R (0) is more little, under wireless environment, the R (1) that certain translational speed is corresponding certain/R (0) value has two kinds of methods: look-up table and curve-fitting method in the realization.Look-up table is searched the translational speed in the corresponding form according to R (1)/R (0) value exactly, in general be that R (1)/R (0) value is in value of the corresponding translational speed of a certain scope, estimated accuracy requires high more, and form can be thin more, specifically can decide with realization according to demand.Another is a curve-fitting method, exactly translational speed size and R (1)/R (0) value are fitted to a curve, like this, just can obtain corresponding translational speed according to R (1)/R (0) value, the curve of the same high more match of estimated accuracy can be complicated more, can determine the complexity of curve in the realization according to demand.The basic principle of R (2)/R (0), R (3)/R (0) also is the same.Here, the parameter of these forms and curve can obtain and optimizes according to multiple modes such as theoretical derivation, laboratory simulations and practical radio communication environment tests, and can change according to environmental change, so that be adapted to different wireless environments.
R (1)/R (0) is not the increase monotone decreasing along with translational speed, and reaching certain translational speed will increase, and this translational speed is exactly the moving speed estimation scope, and surpassing this scope estimated result will make mistakes.This scope is relevant with two factors, and one is sample rate, and sample rate is big more, estimates that the translational speed scope is big more.Be exactly to weigh sign in addition, the translational speed scope that low order R (1)/R (0) estimates is bigger than high-order R (2)/R (0), and the like.In CDMA, if sample rate is 1.5k, weigh translational speed with R (1)/R (0), estimate that translational speed is about 500km/h.But the estimating speed scope is big more, because noise effect under estimated accuracy variation, the especially low speed, improves estimated accuracy so can reduce estimation range under the low speed.
The front obtains R (1)/R (0), R (2)/R (0) simultaneously and R (3)/R (0) takes all factors into consideration estimation range and precision, describes below in conjunction with Fig. 2 and how to utilize these three values to estimate translational speed.
As shown in Figure 2, at first according to the ratio of the 1st rank autocorrelation value and the 0th rank autocorrelation value real part, estimate first translational speed of travelling carriage; If first translational speed estimates the maximum translational speed scope of second translational speed of travelling carriage greater than the ratio according to the 2nd rank autocorrelation value and the 0th rank autocorrelation value real part, then with first translational speed as the travelling carriage current movement speed, finish the velocity estimation flow process; Otherwise, continue the following step;
According to the ratio of the 2nd rank autocorrelation value and the 0th rank autocorrelation value real part, estimate second translational speed of travelling carriage;
If second translational speed estimates the maximum translational speed scope of the 3rd translational speed of travelling carriage greater than the ratio according to the 3rd rank autocorrelation value and the 0th rank autocorrelation value real part, then with second translational speed as the travelling carriage current movement speed, finish the velocity estimation flow process; Otherwise, continue the following step;
According to the ratio of the 3rd rank autocorrelation value and the 0th rank autocorrelation value real part, estimate the 3rd translational speed of travelling carriage, with the 3rd translational speed as the travelling carriage current movement speed.
Following illustration is this process once, according to Fig. 2, suppose under certain sample rate, the maximum translational speed scope of estimating according to R (1)/R (0) is 800km/h, if translational speed is greater than 800km/h then misjudgment, the maximum translational speed scope of estimating according to R (2)/R (0) is assumed to be 400km/h then certainly less than 800km/h, if same translational speed is greater than 400km/h then misjudgment.Although the translational speed scope of estimating according to R (2)/R (0) diminishes, estimated accuracy is higher, and the rest may be inferred for other.Suppose that translational speed is 500km/h, estimate to be 550km/h, then can not utilize R (2)/R (0) to estimate,, should directly export 550km/h because maximum can only be estimated 400km/h according to R (1)/R (0); Suppose that translational speed is 200km/h, estimate to be 250km/h that less than 400km/h, then can utilize R (2)/R (0) to estimate that results estimated may be exactly 220km/h, precision is higher according to R (1)/R (0), other is analogized.
Can also utilize more autocorrelation value exponent number to weigh translational speed in the reality, idiographic flow is with top the same.Equally also can also these two kinds of methods can be combined by adjusting the equilibrium that sample frequency realizes estimation range and estimated accuracy.Can determine with the realization expense according to actual needs in the specific implementation.Equally under the clear and definite situation of estimated accuracy and scope, can determine that a sample rate and auto-correlation exponent number estimate translational speed, reduce implementation complexity.
The present invention estimates the translational speed of travelling carriage by fading factor is carried out auto-correlation computation by multistage autocorrelative changing value.In the foregoing description, be example only, understand the performing step of the inventive method specifically, in the practical application, can realize said method of the present invention by imaginary part numerical value or the mould value of choosing autocorrelation value fully with the real part numerical value of choosing autocorrelation value.
In the foregoing description, variation size to the fading factor autocorrelation value, be to adopt the ratio of high-order and low order to calculate relative variation, in the reality, the relative variation size can be taked multiple computing formula, calculates the auto-correlation changing value of fading factor as also taking (R (0)-R (1))/R (0) among the above-mentioned embodiment.
The above; only for the preferable embodiment of the present invention, but protection scope of the present invention is not limited thereto, and anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; the variation that can expect easily or replacement all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of claims.
Claims (12)
1, a kind of moving speed estimation for mobile station method comprises the following steps:
A) a plurality of complex values fading factors of sampling wireless channel;
B) the multistage complex field autocorrelation value of the above-mentioned a plurality of fading factor samples of calculating;
C) calculate the relative variation size of each rank autocorrelation value;
D) according to step C) the auto-correlation changing value that obtains, search fading factor auto-correlation changing value and the moving speed estimation for mobile station table of comparisons or control curve, estimate this travelling carriage current movement speed size.
2, moving speed estimation for mobile station method as claimed in claim 1 is characterized in that: the method for sampling fading factor is described steps A): wireless channel is separated the fading factor that timing obtains carry out cumulative mean with a selected time interval.
3, moving speed estimation for mobile station method as claimed in claim 1 or 2 is characterized in that: described step B) comprise the real part numerical value of choosing the multistage complex field autocorrelation value that calculates; Described step C) comprises the relative variation size of calculating each rank autocorrelation value real part numerical value.
4, moving speed estimation for mobile station method as claimed in claim 3 is characterized in that: the relative variation size of each rank autocorrelation value real part numerical value of described calculating comprises: the 1st rank, the 2nd rank, the 3rd rank that calculate fading factor respectively ... the ratio of N rank autocorrelation value and the 0th rank autocorrelation value real part.
5, moving speed estimation for mobile station method as claimed in claim 4 is characterized in that: more comprise following concrete steps:
5A) according to the ratio of the 1st rank autocorrelation value and the 0th rank autocorrelation value real part, estimate first translational speed of travelling carriage;
If 5B) first translational speed estimates the maximum translational speed scope of second translational speed of travelling carriage greater than the ratio according to the 2nd rank autocorrelation value and the 0th rank autocorrelation value real part, then with first translational speed as the travelling carriage current movement speed, finish the velocity estimation flow process; Otherwise, continue the following step;
5C) according to the ratio of the 2nd rank autocorrelation value and the 0th rank autocorrelation value real part, estimate second translational speed of travelling carriage;
If 5D) second translational speed estimates the maximum translational speed scope of the 3rd translational speed of travelling carriage greater than the ratio according to the 3rd rank autocorrelation value and the 0th rank autocorrelation value real part, then with second translational speed as the travelling carriage current movement speed, finish the velocity estimation flow process; Otherwise, continue the following step;
……
5F) according to the ratio of N-1 rank autocorrelation value and the 0th rank autocorrelation value real part, estimate the N-1 translational speed of travelling carriage;
If 5G) the N-1 translational speed estimates the maximum translational speed scope of N translational speed of travelling carriage greater than the ratio according to N rank autocorrelation value and the 0th rank autocorrelation value real part, then with the N-1 translational speed as the travelling carriage current movement speed, otherwise, the N translational speed as the travelling carriage current movement speed, is finished the velocity estimation flow process.
6, moving speed estimation for mobile station method as claimed in claim 1 or 2 is characterized in that: described step B) comprise the imaginary part numerical value of choosing the multistage complex field autocorrelation value that calculates; Described step C) comprises the relative variation size of calculating each rank autocorrelation value imaginary part numerical value.
7, moving speed estimation for mobile station method as claimed in claim 6 is characterized in that: the relative variation size of each rank autocorrelation value imaginary part numerical value of described calculating comprises: the 1st rank, the 2nd rank, the 3rd rank that calculate fading factor respectively ... the ratio of N rank autocorrelation value and the 0th rank autocorrelation value imaginary part.
8, moving speed estimation for mobile station method as claimed in claim 7 is characterized in that: more comprise following concrete steps:
8A) according to the ratio of the 1st rank autocorrelation value and the 0th rank autocorrelation value imaginary part, estimate first translational speed of travelling carriage;
If 8B) first translational speed estimates the maximum translational speed scope of second translational speed of travelling carriage greater than the ratio according to the 2nd rank autocorrelation value and the 0th rank autocorrelation value imaginary part, then with first translational speed as the travelling carriage current movement speed, finish the velocity estimation flow process; Otherwise, continue the following step;
8C) according to the ratio of the 2nd rank autocorrelation value and the 0th rank autocorrelation value imaginary part, estimate second translational speed of travelling carriage;
If 8D) second translational speed estimates the maximum translational speed scope of the 3rd translational speed of travelling carriage greater than the ratio according to the 3rd rank autocorrelation value and the 0th rank autocorrelation value imaginary part, then with second translational speed as the travelling carriage current movement speed, finish the velocity estimation flow process; Otherwise, continue the following step;
……
8F) according to the ratio of N-1 rank autocorrelation value and the 0th rank autocorrelation value imaginary part, estimate the N-1 translational speed of travelling carriage;
If 8G) the N-1 translational speed estimates the maximum translational speed scope of N translational speed of travelling carriage greater than the ratio according to N rank autocorrelation value and the 0th rank autocorrelation value imaginary part, then with the N-1 translational speed as the travelling carriage current movement speed, otherwise, the N translational speed as the travelling carriage current movement speed, is finished the velocity estimation flow process.
9, moving speed estimation for mobile station method as claimed in claim 1 or 2 is characterized in that: described step B) comprise the mould value of choosing the multistage complex field autocorrelation value that calculates; Described step C) comprises the relative variation size of calculating each rank autocorrelation value mould value.
10, moving speed estimation for mobile station method as claimed in claim 9 is characterized in that: the relative variation size of each rank autocorrelation value mould value of described calculating comprises: the 1st rank, the 2nd rank, the 3rd rank that calculate fading factor respectively ... the ratio of N rank autocorrelation value and the 0th rank autocorrelation value mould value.
11, moving speed estimation for mobile station method as claimed in claim 10 is characterized in that: more comprise following concrete steps:
11A) according to the ratio of the 1st rank autocorrelation value and the 0th rank autocorrelation value mould value, estimate first translational speed of travelling carriage;
If 11B) first translational speed estimates the maximum translational speed scope of second translational speed of travelling carriage greater than the ratio according to the 2nd rank autocorrelation value and the 0th rank autocorrelation value mould value, then with first translational speed as the travelling carriage current movement speed, finish the velocity estimation flow process; Otherwise, continue the following step;
11C) according to the ratio of the 2nd rank autocorrelation value and the 0th rank autocorrelation value mould value, estimate second translational speed of travelling carriage;
If 11D) second translational speed estimates the maximum translational speed scope of the 3rd translational speed of travelling carriage greater than the ratio according to the 3rd rank autocorrelation value and the 0th rank autocorrelation value mould value, then with second translational speed as the travelling carriage current movement speed, finish the velocity estimation flow process; Otherwise, continue the following step;
……
11F) according to the ratio of N-1 rank autocorrelation value and the 0th rank autocorrelation value mould value, estimate the N-1 translational speed of travelling carriage;
If 11G) the N-1 translational speed estimates the maximum translational speed scope of N translational speed of travelling carriage greater than the ratio according to N rank autocorrelation value and the 0th rank autocorrelation value mould value, then with the N-1 translational speed as the travelling carriage current movement speed, otherwise, the N translational speed as the travelling carriage current movement speed, is finished the velocity estimation flow process.
12, moving speed estimation for mobile station method as claimed in claim 1 is characterized in that: the described fading factor auto-correlation changing value and the moving speed estimation for mobile station table of comparisons or control curve can obtain according to the method for theoretical derivation, laboratory simulations or practical radio communication environment test.
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| CN101252764B (en) * | 2008-04-03 | 2011-01-19 | 威盛电子股份有限公司 | Apparatus and method for estimating wireless terminal velocity |
| CN102209332A (en) * | 2010-03-30 | 2011-10-05 | 联芯科技有限公司 | Control strategy configuration method and device based on movement speed of terminal |
| WO2011130997A1 (en) * | 2010-04-22 | 2011-10-27 | 中兴通讯股份有限公司 | Method and apparatus for estimating motion speed of terminal |
| CN102263600A (en) * | 2010-05-28 | 2011-11-30 | 电信科学技术研究院 | Method and device for determining movement speed of terminal |
| CN102316506A (en) * | 2010-06-29 | 2012-01-11 | 电信科学技术研究院 | Method and equipment for determining speed range of mobile station |
| WO2014101016A1 (en) * | 2012-12-26 | 2014-07-03 | 华为技术有限公司 | Speed estimation method and device |
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| FR2782227B1 (en) * | 1998-08-04 | 2000-11-10 | Nortel Matra Cellular | RADIO ESTIMATION METHOD OF THE SPEED OF A MOBILE |
| US6658045B1 (en) * | 1999-02-22 | 2003-12-02 | Nortel Networks Limited | CDMA communications system adaptive to mobile unit speed |
| KR20010038528A (en) * | 1999-10-26 | 2001-05-15 | 조정남 | Apparatus and method for controlling a power of reverse link in CDMA system |
| EP1296156B1 (en) * | 2001-09-25 | 2009-01-28 | STMicroelectronics N.V. | Method and device for estimating the speed of a mobile terminal, especially of a cellular mobile telephone with UMTS capability |
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2004
- 2004-01-17 CN CNB2004100009888A patent/CN100341374C/en not_active Expired - Fee Related
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| CN101252764B (en) * | 2008-04-03 | 2011-01-19 | 威盛电子股份有限公司 | Apparatus and method for estimating wireless terminal velocity |
| CN101795491A (en) * | 2010-02-01 | 2010-08-04 | 中兴通讯股份有限公司 | Method for estimating terminal speed, device, terminal and base station thereof |
| WO2011091662A1 (en) * | 2010-02-01 | 2011-08-04 | 中兴通讯股份有限公司 | Metod, apparatus, terminal and base station for terminal speed estimation |
| CN102209332A (en) * | 2010-03-30 | 2011-10-05 | 联芯科技有限公司 | Control strategy configuration method and device based on movement speed of terminal |
| WO2011130997A1 (en) * | 2010-04-22 | 2011-10-27 | 中兴通讯股份有限公司 | Method and apparatus for estimating motion speed of terminal |
| CN102263600A (en) * | 2010-05-28 | 2011-11-30 | 电信科学技术研究院 | Method and device for determining movement speed of terminal |
| CN102263600B (en) * | 2010-05-28 | 2013-08-14 | 电信科学技术研究院 | Method and device for determining movement speed of terminal |
| CN102316506A (en) * | 2010-06-29 | 2012-01-11 | 电信科学技术研究院 | Method and equipment for determining speed range of mobile station |
| WO2014101016A1 (en) * | 2012-12-26 | 2014-07-03 | 华为技术有限公司 | Speed estimation method and device |
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