CN102316506A - Method and equipment for determining speed range of mobile station - Google Patents

Abstract

The embodiment of the invention relates to the technical field of wireless communication, in particular to a method and equipment for determining the speed range of a mobile station. The method and the equipment are used for improving the speed range determination accuracy of the mobile station. The method provided by the embodiment of the invention comprises the following steps of: acquiring a channel fading factor sampling value of a wireless channel in which the mobile terminal is at each sampling moment; determining an actual characteristic parameter value according to the acquired channel fading factor sampling value; and determining a speed range value corresponding to a characteristic parameter range value with the actual characteristic parameter value according to preset correspondence between the characteristic parameter range values and the speed range values, wherein a characteristic parameter corresponding to the actual characteristic parameter value is a parameter representing the traveling speed information of the mobile station. The speed range value corresponding to the characteristic parameter range value with the actual characteristic parameter value is determined according to the preset correspondence between the characteristic parameter range values and the speed range values, thereby improving the speed range determination accuracy of the mobile station.

Description

A kind of method and apparatus of definite mobile station speed scope

Technical field

The present invention relates to wireless communication technology field, particularly a kind of method and apparatus of definite mobile station speed scope.

Background technology

In cell mobile communication systems, travelling carriage has directly determined the time-varying characteristics of wireless channel with respect to the translational speed of base station, receives quality of signals thereby influence, and receives the performance of quality of signals with the final decision cell mobile communication systems.Therefore through obtaining the speed of travelling carriage, can be from the physical layer to the high level performance of optimization system all sidedly.

See from the physical layer angle, utilize the velocity information of travelling carriage can change channel estimation window long, when improving the processing of channel estimating performance, the selective channel code interleaving degree of depth, optimization wireless receiver and avoiding high-speed mobile since fading channel the time become and aggravate the detection mis-behave that causes.See that from high-level perspective the velocity information of travelling carriage is applied to realize the switching controls in the multi-layer honeycomb structure (HCS), for example: let travelling carriage at a high speed get into macrocell, the travelling carriage of low speed gets into Microcell; In addition, velocity information also can be used for improving cell re-selection mechanism, the parameter of location tracking and configures physical layer etc.

From the second generation (2G) to the third generation (3G), the 4th generation (4G) cell mobile communication systems; The speed of travelling carriage has obtained application more and more widely; Especially with Long Term Evolution (Long Term Evolution; LTE) system is that the speed of travelling carriage is a key parameter of elevator system performance in the accurate 4G system of representative.The speed of travelling carriage can be used to determine scheduling strategy, downlink transfer mode switch and configuration detection reference signal (Sounding Reference Signal; SRS) cycle and channel quality indication (Channel Quality Indicator, CQI) feedback parameter etc.For example: adopt frequency selective scheduling and Adaptive Modulation and Coding (AMC) technology during low speed, adopt non-frequency selective scheduling and frequency hopping transmission technology during high speed.

In existing cell mobile communication systems, need in the scene of operating speed information, need not obtain actual velocity amplitude, and only need provide velocity interval, confirm which velocity interval travelling carriage belongs to and get final product.

In the cell mobile communication systems, generally adopt parameter Estimation class algorithm to confirm the mobile station speed scope.The thought of parameter Estimation class algorithm is based on the parameter that some that calculate to receive signal comprise velocity information and calculates maximum doppler frequency; And then obtaining translational speed, common parameter comprises: level crossing rate (lcr) (LCR), zero-crossing rate (ZCR), auto-correlation coefficient (ACF), auto-covariance (COV) etc.; Non-parametric estmation class algorithm is also referred to as Classical Spectrum to be estimated, it estimates maximum doppler frequency then, and then obtain translational speed through the classical power spectrum of direct method or indirect method acquisition channel; Assist and estimate that a type algorithm comprises: (Global Positioning System, optional equipment GPS) assist algorithm for estimating and assist algorithm for estimating based on the cellular network of power control commands word (TPC), switching (HO) frequency based on global positioning system.

A kind of method relatively more classical in the parameter Estimation class algorithm is LCR and ZCR.Wherein, LCR (Level Crossing Rate), i.e. level crossing rate (lcr) calculates the speed of travelling carriage through the envelope level percent of pass of estimating received signal; ZCR (Level Crossing Rate), i.e. zero-crossing rate, the in-phase component through estimating received signal or the zero percent of pass of quadrature component calculate the speed of travelling carriage.Another kind of common method is correlation method (ACF) in the parameter Estimation class algorithm.This method is to be the basis with classical rayleigh fading channel power spectral density function; Derive the corresponding auto-correlation function of classical Rayleigh spectrum; Derive then and obtain the relational expression of speed and auto-correlation coefficient; The autocorrelation value substitution relational expression that to utilize the channel fading coefficient to try to achieve then estimates concrete velocity amplitude at last.

In the parameter Estimation class algorithm; The LCR/ZCR algorithm needs the continuous received signal of time domain, in OFDM (OFDM) system, can realize hardly, and need estimate mean power and signal average respectively; Be subjected to the influence of power control easily, thereby reduced the degree of accuracy; Need suppose current channel fading Rayleigh distributed based on the speed estimation algorithms of ACF, thereby measure concrete velocity amplitude, and wireless channel alters a great deal in the actual environment, general being difficult to obeyed this distribution, thereby reduced the degree of accuracy.

In sum, the accuracy of the scheme of definite mobile station speed scope is lower at present.

Summary of the invention

The embodiment of the invention provides a kind of method and apparatus of definite mobile station speed scope, in order to improve the accuracy of confirming the mobile station speed scope.

The method of a kind of definite mobile station speed scope that the embodiment of the invention provides, this method comprises:

In each sampling instant, obtain the channel fading factor sampled value of the residing wireless channel of travelling carriage;

According to the channel fading factor sampled value of obtaining, confirm the actual characteristic parameter value;

According to the corresponding relation of predefined characterisitic parameter value range and velocity interval value, confirm the corresponding velocity interval value of the affiliated characterisitic parameter value range of actual characteristic parameter value;

Wherein, said actual characteristic parameter value corresponding characteristics parameter is the parameter of expression travelling carriage translational speed information.

The equipment of a kind of definite mobile station speed scope that the embodiment of the invention provides, this equipment comprises:

The sampled value acquisition module is used in each sampling instant, obtains the channel fading factor sampled value of the residing wireless channel of travelling carriage;

The characteristic parameter value determination module is used for confirming the actual characteristic parameter value according to the channel fading factor sampled value of obtaining;

The velocity interval determination module is used for the corresponding relation according to predefined characterisitic parameter value range and velocity interval value, confirms the corresponding velocity interval value of the affiliated characterisitic parameter value range of actual characteristic parameter value;

Wherein, said actual characteristic parameter value corresponding characteristics parameter is the parameter of expression travelling carriage translational speed information.

Owing to according to the corresponding relation of predefined characterisitic parameter value range and velocity interval value, confirm the corresponding velocity interval value of the affiliated characterisitic parameter value range of actual characteristic parameter value, thereby improved the accuracy of definite mobile station speed scope.

Description of drawings

Fig. 1 confirms the device structure sketch map of mobile station speed scope for the embodiment of the invention;

Fig. 2 confirms the method flow sketch map of mobile station speed scope for the embodiment of the invention;

Fig. 3 asks for the method flow sketch map of threshold value and estimating speed for the embodiment of the invention;

Fig. 4 is an embodiment of the invention LTE upstream sampling time interval sketch map;

Fig. 5 adopts the sketch map of complementary cumulative probability distribution (CCDF) curve for characterisitic parameter in the embodiment of the invention adopts auto-correlation coefficient, probability distribution curve.

Embodiment

The embodiment of the invention is according to the channel fading factor sampled value of the residing wireless channel of travelling carriage that obtains; Confirm the actual characteristic parameter value; According to the corresponding relation of predefined characterisitic parameter value range and velocity interval value, confirm the corresponding velocity interval value of the affiliated characterisitic parameter value range of actual characteristic parameter value.Owing to according to the corresponding relation of predefined characterisitic parameter value range and velocity interval value, confirm the corresponding velocity interval value of the affiliated characterisitic parameter value range of actual characteristic parameter value, thereby improved the accuracy of definite mobile station speed scope.

Wherein, actual characteristic parameter value corresponding characteristics parameter is the parameter of expression travelling carriage translational speed information.Such as characterisitic parameter can be auto-correlation coefficient (ACF), auto-covariance (COV) etc.

Need to prove that other parameters that can represent travelling carriage translational speed information also can be as the characterisitic parameter in the embodiment of the invention.

The scheme of the embodiment of the invention can be applied in the LTE system, also can be applied in other systems that need obtain mobile station speed.

Below in conjunction with Figure of description the embodiment of the invention is described in further detail.

As shown in Figure 1, the embodiment of the invention confirms that the equipment of mobile station speed scope comprises: sampled value acquisition module 10, characteristic parameter value determination module 20 and velocity interval determination module 30.

Sampled value acquisition module 10 is used in each sampling instant, obtains the channel fading factor sampled value of the residing wireless channel of travelling carriage.

Characteristic parameter value determination module 20 is used for the channel fading factor sampled value obtained according to sampled value acquisition module 10, confirms the actual characteristic parameter value.

Velocity interval determination module 30 is used for the corresponding relation according to predefined characterisitic parameter value range and velocity interval value, confirms the affiliated corresponding velocity interval value of characterisitic parameter value range of actual characteristic parameter value that characteristic parameter value determination module 20 is confirmed.

Wherein, actual characteristic parameter value corresponding characteristics parameter is the parameter of expression travelling carriage translational speed information.

Travelling carriage wireless channel environment under when moving, sampled value acquisition module 10 obtains the channel fading factor sampled value of the residing wireless channel of travelling carriage according to the time of setting.Concrete sampling instant can be set as required.

In the practical implementation process, characteristic parameter value determination module 20 can be confirmed the first characterisitic parameter value set according to the channel fading factor sampled value of obtaining, and wherein comprises at least one alternative characteristic parameter value in the set of first characterisitic parameter;

Characteristic parameter value determination module 20 selects an alternative characteristic parameter value as the actual characteristic parameter value from the first characterisitic parameter value set then; Or alternative characteristic parameter value additions all in the first characterisitic parameter value set asked on average, the value that obtains is as the actual characteristic parameter value.

Concrete, characteristic parameter value determination module 20 is confirmed the alternative characteristic parameter value in the first characterisitic parameter value set according to the quantity of the channel fading factor sampled value of obtaining.If the quantity of channel fading factor sampled value is many more, the alternative characterisitic parameter in the first characterisitic parameter value set is just many more.If alternative characteristic parameter value additions all in the first characterisitic parameter value set is asked average; The value that obtains is as the actual characteristic parameter value; Then the alternative characterisitic parameter in the first characterisitic parameter value set is just many more; The actual characteristic parameter value that obtains is just accurate more, and the velocity interval value that obtains at last accordingly is also accurate more.

Wherein, the embodiment of the invention confirms that the equipment of mobile station speed scope can further include: set up module 40.

Set up module 40; Be used to preestablish at least one speed threshold value,, obtain the corresponding channel fading factor sampled value of each speed threshold value in each sampling instant; The channel fading factor sampled value corresponding according to each speed threshold value; Confirm the probability distribution curve of each speed threshold value,, confirm the corresponding relation of characterisitic parameter value range and velocity interval value according to the probability distribution curve of each speed threshold value.

In the practical implementation process, the setting up module 40 and also can independently become an entity of the embodiment of the invention, set up accomplish corresponding relation after, supply the embodiment of the invention to confirm the equipment calls corresponding relation of mobile station speed scope.

Wherein, probability distribution curve is the curve of expression travelling carriage translational speed information.Such as complementary cumulative probability cumulative distribution (CCDF) curve, probability cumulative distribution (CDF) etc.

The concrete size of setting what speed threshold values and each speed threshold value can be set according to the practical application needs, and can adjust as required.

Concrete, according to practical application request (, then can confirm the quantity of speed class) velocity amplitude is divided into a plurality of grades according to mode switch in the LTE system and descending scheduling if such as being applied in the LTE system.Such as falling into three classes, then can set two speed threshold values, V ₁And V ₂, and less than V2, then the velocity interval of Three Estate is: 0～V ₁, V ₁～V ₂, V ₂～+∞.

Let travelling carriage respectively according to V then ₁And V ₂Speed in wireless channel environment, move, set up module 40 each sampling instant in a period of time, obtain the corresponding channel fading factor sampled value of each speed threshold value; The channel fading factor sampled value corresponding according to each speed threshold value confirmed the second characterisitic parameter value set that each speed threshold value is corresponding, wherein comprises a plurality of characteristic parameter value in the second characterisitic parameter value set; The second characterisitic parameter value set corresponding according to each speed threshold value confirmed the corresponding probability distribution curve of characteristic parameter value under each speed threshold value condition.

When confirming the second characterisitic parameter value set of each speed threshold value correspondence, set up the channel fading factor sampled value that module 40 can be corresponding according to each speed threshold value, calculate a plurality of characteristic parameter value; To form a set according to the characteristic parameter value that the corresponding channel fading factor sampled value of same speed threshold value calculates, as the second corresponding characterisitic parameter value set of this speed threshold value.

At last, set up the probability distribution curve of module 40, confirm the corresponding relation of characterisitic parameter value range and velocity interval value according to each speed threshold value.

The corresponding relation of setting up module 40 foundation can store into to be set up in the module 40, also can store the equipment calls that supplies the embodiment of the invention in other entities into.

Because the speed threshold value has been divided into a plurality of scopes with whole velocity amplitude; So probability distribution curve to each speed threshold value; Just can confirm mobile station speed value range corresponding characteristics parameter area value, thereby just can set up the corresponding relation of characterisitic parameter value range and velocity interval value.

Certainly, the corresponding relation of characterisitic parameter value range and velocity interval value is not what fix, and as required according to the quantity and the size of the threshold value of regulating the speed, the corresponding relation of corresponding characterisitic parameter value range and velocity interval value also needs to upgrade.

It is a variety of to confirm that according to the channel fading factor sampled value mode of characteristic parameter value has, and different characteristic parameter, definite mode are also all inequality.

If such as characterisitic parameter is auto-correlation coefficient, then can confirm characteristic parameter value according to formula one, also can confirm characteristic parameter value according to formula two or formula three.

The embodiment of the invention confirms that the equipment of mobile station speed scope can be that the base station is (such as macro base station; Evolution base station, Home eNodeB etc.); Also can be that RN (relaying) equipment, other network equipment are (such as MME (Mobility Management Entity; Mobility Management Entity)) can also be travelling carriage or new equipment.

As shown in Figure 2, the embodiment of the invention confirms that the method for mobile station speed scope comprises the following steps:

Step 201, in each sampling instant, obtain the channel fading factor sampled value of the residing wireless channel of travelling carriage.

The channel fading factor sampled value that step 202, basis are obtained is confirmed the actual characteristic parameter value.

Step 203, according to the corresponding relation of predefined characterisitic parameter value range and velocity interval value, confirm the corresponding velocity interval value of characterisitic parameter value range under the actual characteristic parameter value.

Wherein, actual characteristic parameter value corresponding characteristics parameter is the parameter of expression travelling carriage translational speed information.

In the step 201, travelling carriage wireless channel environment under when moving, according to the time of setting, obtain the channel fading factor sampled value of the residing wireless channel of travelling carriage.Concrete sampling instant can be set as required.

In the step 202,, confirm the first characterisitic parameter value set, wherein comprise at least one alternative characteristic parameter value in the set of first characterisitic parameter according to the channel fading factor sampled value of obtaining;

From the first characterisitic parameter value set, select an alternative characteristic parameter value as the actual characteristic parameter value then, or alternative characteristic parameter value additions all in the first characterisitic parameter value set is asked on average, the value that obtains is as the actual characteristic parameter value.

Concrete, according to the quantity of the channel fading factor sampled value of obtaining, confirm the alternative characteristic parameter value in the first characterisitic parameter value set.If the quantity of channel fading factor sampled value is many more, the alternative characterisitic parameter in the first characterisitic parameter value set is just many more.If alternative characteristic parameter value additions all in the first characterisitic parameter value set is asked average; The value that obtains is as the actual characteristic parameter value; Then the alternative characterisitic parameter in the first characterisitic parameter value set is just many more; The actual characteristic parameter value that obtains is just accurate more, and the velocity interval value that obtains at last accordingly is also accurate more.

Wherein, the corresponding relation of characterisitic parameter value range and velocity interval value is set up according to the following step:

Preestablish at least one speed threshold value;

In each sampling instant, obtain the corresponding channel fading factor sampled value of each speed threshold value;

According to the channel fading factor sampled value of each speed threshold value correspondence, confirm the probability distribution curve of each speed threshold value;

According to the probability distribution curve of each speed threshold value, confirm the corresponding relation of characterisitic parameter value range and velocity interval value.

Wherein, probability distribution curve is the curve of expression travelling carriage translational speed information.Such as the CCDF curve.

Probable value can have various ways, such as probability density, probability cumulative distribution, complementary probability cumulative distribution etc.

The concrete size of setting what speed threshold values and each speed threshold value can be set as required, and can adjust as required.

Concrete, according to practical application request (, then can confirm the quantity of grade) velocity amplitude is divided into a plurality of grades according to mode switch in the LTE system and descending scheduling if such as being applied in the LTE system.Such as falling into three classes, then can set two speed threshold values, V ₁And V ₂, and less than V2, then the velocity interval of Three Estate is: 0～V ₁, V ₁～V ₂, V ₂～+∞.

Let travelling carriage respectively according to V then ₁And V ₂Speed in wireless channel environment, move, the corresponding channel fading factor sampled value of each speed threshold value is obtained in each sampling instant in a period of time; The channel fading factor sampled value corresponding according to each speed threshold value confirmed the second characterisitic parameter value set that each speed threshold value is corresponding, wherein comprises a plurality of characteristic parameter value in the second characterisitic parameter value set; The second characterisitic parameter value set corresponding according to each speed threshold value confirmed the corresponding probability distribution curve of characteristic parameter value under each speed threshold value condition.

When confirming the second characterisitic parameter value set of each speed threshold value correspondence, channel fading factor sampled value that can be corresponding according to each speed threshold value calculate a plurality of characteristic parameter value; To form a set according to the characteristic parameter value that the corresponding channel fading factor sampled value of same speed threshold value calculates, as the second corresponding characterisitic parameter value set of this speed threshold value.

At last, according to the probability distribution curve of each speed threshold value, confirm the corresponding relation of characterisitic parameter value range and velocity interval value.

Because the speed threshold value has been divided into a plurality of scopes with whole velocity amplitude; So probability distribution curve to each speed threshold value; Just can confirm mobile station speed value range corresponding characteristics parameter area value, thereby just can set up the corresponding relation of characterisitic parameter value range and velocity interval value.

Certainly, the corresponding relation of characterisitic parameter value range and velocity interval value is not what fix, and as required according to the quantity and the size of the threshold value of regulating the speed, the corresponding relation of corresponding characterisitic parameter value range and velocity interval value also needs to upgrade.

It is a variety of to confirm that according to the channel fading factor sampled value mode of characteristic parameter value has, and different characteristic parameter, definite mode are also all inequality.

If such as characterisitic parameter is auto-correlation coefficient, then can confirm characteristic parameter value according to formula one, also can be according to confirming characteristic parameter value according to formula two or formula three;

The executive agent of the embodiment of the invention can be base station (such as a macro base station, evolution base station, Home eNodeB etc.), also can be RN (relaying) equipment, other network equipment (such as MME) or new equipment, can also be travelling carriage.

As shown in Figure 3, the method that the embodiment of the invention is asked for threshold value and estimating speed comprises the following steps:

Step 301, velocity amplitude is divided into M grade: C according to practical application request ₁, C ₂, C ₃... C _M(M>=2).

C ₁＝(0，V ₁)km/h，C ₂＝(V ₁，V ₂)km/h，......，C _M＝(V _M-1，+∞)km/h，

Wherein, V ₁, V ₂... V _M-1Be M-1 the velocity amplitude of confirming, and satisfy 0≤V ₁≤V ₂≤...≤V _M-1＜+∞.

Step 302, make travelling carriage with speed V ₁(by the definite concrete velocity amplitude of step 301) moves in wireless channel environment, in a period of time, obtains channel fading factor sampled value h ₁(n), n is the sampled point corresponding sequence number.

Step 303, according to the channel fading factor h that obtains in the step 302 ₁(n) calculating the mobile station speed threshold value is V ₁Second corresponding characterisitic parameter value set: the S ₁={ s ₁(k), k=1,2 ... K ₁, K ₁Number for element in the set.

Step 304, to make the mobile station speed threshold value respectively be V ₂V _M-1, repeating step 302 is to step 303, and obtaining the mobile station speed threshold value respectively is V ₂V _M-1The second corresponding characteristic parameter value S set ₂, S ₃... S _M-1, wherein, S _i={ s _i(k), k=1,2 ... K _i, i=2 ... M-1, K _iNumber for element in the set.

Step 305, according to each speed threshold value V ₁, V ₂... V _M-1The second corresponding characteristic parameter value S set ₁, S ₂, S ₃... S _M-1, confirm the corresponding probability distribution curve of characteristic parameter value under each speed threshold value condition.

Wherein, the abscissa of probability distribution curve is the value of characterisitic parameter, the probable value of ordinate for occurring.

Step 306, confirm the velocity interval value corresponding characteristics parameter area value Th of M the M-1 between the speed class speed threshold value formation according to the probability distribution curve of confirming in the step 305 ₁, Th ₂..., Th _M-1Thereby, set up the corresponding relation of characterisitic parameter value range and velocity interval value.

When step 307, travelling carriage move, in a period of time, obtain the channel fading factor sampled value h of the residing wireless channel of this travelling carriage under wireless channel environment ^*(n), n is the sampled point corresponding sequence number;

Step 308, according to the channel fading factor h that obtains in the step 307 ^*(n), confirm the first characteristic parameter value S set ^*={ s ^*(k), k=1,2 ... K}, K is the number of element in the set.

Step 309, according to the alternative characteristic parameter value in the first characterisitic parameter value set, calculate the actual characteristic parameter value.

Such as can average wherein K be the number of element in the set, with mean value as the actual characteristic parameter value.

Step 310, the corresponding relation of the actual characteristic parameter value that calculates in the step 309 and characterisitic parameter value range and velocity interval value is compared; Obtain the corresponding velocity interval value of the affiliated characterisitic parameter value range of actual characteristic parameter value, thereby just obtain the current velocity interval value of travelling carriage.

With a concrete example the present invention program is described below.

System is the LTE system, and characterisitic parameter is an auto-correlation coefficient, and probability distribution adopts complementary cumulative probability to distribute.For stochastic variable X, its CCDF defines referring to following formula:

CCDF(x)＝1-CDF(x)＝Probability{X＞x}。

Wherein, x is a real number, and Probability{} representes to ask for probable value.Therefore, for given real number value x ₀, CCDF (x ₀) represent that stochastic variable X value is greater than x ₀Probability.

Present embodiment is sampled according to the mode of Fig. 4.Among Fig. 4, abscissa is represented OFDM (Orthogonal Frequency Division Multiplexing, OFDM) symbol, and ordinate is represented subcarrier number.Note T ₁The time-domain sampling time interval of representing adjacent PUSCH (Physical Uplink Shared Channel, Physical Uplink Shared Channel) pilot tone is (unified with T in the following description ₁The expression sampling time interval).For the corresponding relation that makes foundation is more accurate, can let the blanking time of the wireless channel fading factor sampled value at every turn obtained all identical.

Concrete steps are following:

Application demand according to the LTE downlink mode switches is divided into 3 grade: C with velocity amplitude ₁=(0,3] km/h, C ₂=(3 ₁, 30] and km/h, C ₃=(30 ,+∞) km/h, wherein, (0,3] expression opens closed interval (promptly represent value gather 0＜v≤3), V down ₁=3 (km/h), V ₂=30 (km/h).

Make travelling carriage with speed V ₁=3 (km/h) move in wireless channel environment, in a period of time, obtain channel fading factor sampled value:

As shown in Figure 4, obtain t _2n-1The moment and t _2nThe channel fading coefficient vector of trying to achieve by the PUSCH pilot frequency sequence constantly

With

Wherein,

H _2n-1(m) and H _2n(m) represent on the k number of sub-carrier respectively, t _2n-1The moment and t _2n(satisfy t _2n=t _2n-1+ T ₁) constantly channel fading coefficient, (1≤m≤M, M represent the number of pilot frequency sequence on the same OFDM symbol).

Here also can obtain the channel fading coefficient vector more than 3 and 3 as required, also calculate when calculate corresponding back according to the channel fading coefficient vector more than 3 and 3.

According to the channel fading coefficient vector that obtains, the calculating mobile station speed is V ₁Auto-correlation coefficient value under=3 (km/h), and form the second auto-correlation coefficient S set ₁={ s ₁(k), k=1,2 ... K ₁, K ₁Number for element in the set;

According to the definition of vector correlation property in the matrix analysis, the method for three kinds of calculating channel fading coefficients vector auto-correlation coefficient values is arranged, be described below (adopting formula one to calculate the auto-correlation coefficient value) respectively here.

Ask real part or the imaginary part or the mould value (choosing wantonly among the three) of the auto-correlation coefficient of two pilot tones row

and

according to formula one (sequence correlation method), with the value that obtains as the auto-correlation coefficient value:

$R({\mathrm{<figure-callout\; id="2n"\; label="t"\; filenames="HSA00000179765000031.png"\; state="\{\{state\}\}">t</figure-callout>}}_{2n-1},{\mathrm{<figure-callout\; id="2n"\; label="t"\; filenames="HSA00000179765000031.png"\; state="\{\{state\}\}">t</figure-callout>}}_{2n})=\mathrm{Re}\left\{\frac{{\stackrel{\&RightArrow;}{H}}_{2n-1}^H{\stackrel{\&RightArrow;}{H}}_{2n}}{{\left|\right|{\stackrel{\&RightArrow;}{H}}_{2n-1}\left|\right|}_2{\left|\right|{\stackrel{\&RightArrow;}{H}}_{2n}\left|\right|}_2}\right\}=\mathrm{Re}\left\{\frac{\underset{m=1}{\overset{\mathrm{<figure-callout\; id="2n"\; label="M\; H"\; filenames="HSA00000179765000031.png"\; state="\{\{state\}\}">M</figure-callout>}}{\mathrm{\&Sigma;}}}{H}_{}^{}{}_{2n-1}^{*}\left(m\right){\mathrm{<figure-callout\; id="2n"\; label="H"\; filenames="HSA00000179765000031.png"\; state="\{\{state\}\}">H</figure-callout>}}_{2n}\left(m\right)}{\sqrt{\left(\underset{m=1}{\overset{M}{\mathrm{\&Sigma;}}}{\left|{\mathrm{<figure-callout\; id="2n"\; label="H"\; filenames="HSA00000179765000031.png"\; state="\{\{state\}\}">H</figure-callout>}}_{2n-1}\left(m\right)\right|}^2\right)}\left(\underset{m=1}{\overset{M}{\mathrm{\&Sigma;}}}{\left|{\mathrm{<figure-callout\; id="2n"\; label="H"\; filenames="HSA00000179765000031.png"\; state="\{\{state\}\}">H</figure-callout>}}_{2n}\left(m\right)\right|}^2\right)}\right\}$ ... .. formula one.

Can also ask real part or the imaginary part or the mould value (choosing wantonly among the three) of the auto-correlation coefficient of two pilot tones row

and

according to formula two (spot correlation method), with the value that obtains as the auto-correlation coefficient value:

$R({\mathrm{<figure-callout\; id="2n"\; label="t"\; filenames="HSA00000179765000031.png"\; state="\{\{state\}\}">t</figure-callout>}}_{2n-1},{\mathrm{<figure-callout\; id="2n"\; label="t"\; filenames="HSA00000179765000031.png"\; state="\{\{state\}\}">t</figure-callout>}}_{2n})=\mathrm{Re}\left\{\frac{1}{M}\underset{m=1}{\overset{\mathrm{<figure-callout\; id="2n"\; label="M\; H"\; filenames="HSA00000179765000031.png"\; state="\{\{state\}\}">M</figure-callout>}}{\mathrm{\&Sigma;}}}\frac{H_{}^{}}{}\frac{{}_{2n-1}^{*}\left(m\right){\mathrm{<figure-callout\; id="2n"\; label="H"\; filenames="HSA00000179765000031.png"\; state="\{\{state\}\}">H</figure-callout>}}_{2n}\left(m\right)}{\left|{\mathrm{<figure-callout\; id="2n"\; label="H"\; filenames="HSA00000179765000031.png"\; state="\{\{state\}\}">H</figure-callout>}}_{2n-1}\left(m\right)\right|\left|{\mathrm{<figure-callout\; id="2n"\; label="H"\; filenames="HSA00000179765000031.png"\; state="\{\{state\}\}">H</figure-callout>}}_{2n}\left(m\right)\right|}\right\}$ ... ... .. formula two.

Can also ask the mould value of the auto-correlation coefficient of two pilot tones row and

according to formula three (Envelope Correlation), with the value that obtains as the auto-correlation coefficient value:

$R({\mathrm{<figure-callout\; id="2n"\; label="t"\; filenames="HSA00000179765000031.png"\; state="\{\{state\}\}">t</figure-callout>}}_{2n-1},{\mathrm{<figure-callout\; id="2n"\; label="t"\; filenames="HSA00000179765000031.png"\; state="\{\{state\}\}">t</figure-callout>}}_{2n})=\frac{\underset{m=1}{\overset{M}{\mathrm{\&Sigma;}}}\left|{\mathrm{<figure-callout\; id="2n"\; label="H"\; filenames="HSA00000179765000031.png"\; state="\{\{state\}\}">H</figure-callout>}}_{2n-1}\left(m\right)\right|\left|{\mathrm{<figure-callout\; id="2n"\; label="H"\; filenames="HSA00000179765000031.png"\; state="\{\{state\}\}">H</figure-callout>}}_{2n}\left(m\right)\right|}{\sqrt{\left(\underset{m=1}{\overset{M}{\mathrm{\&Sigma;}}}{\left|{\mathrm{<figure-callout\; id="2n"\; label="H"\; filenames="HSA00000179765000031.png"\; state="\{\{state\}\}">H</figure-callout>}}_{2n-1}\left(m\right)\right|}^2\right)\left(\underset{m=1}{\overset{M}{\mathrm{\&Sigma;}}}{\left|{\mathrm{<figure-callout\; id="2n"\; label="H"\; filenames="HSA00000179765000031.png"\; state="\{\{state\}\}">H</figure-callout>}}_{2n}\left(m\right)\right|}^2\right)}}$ ... .. formula three.

Wherein, real part, () are got in Re () expression ^HThe expression conjugate transpose, () ^*The expression conjugation, || || ₂Represent 2 norms, || expression takes absolute value.

Make travelling carriage with speed V ₂=30 (km/h) move in wireless channel environment, repeat above-mentioned steps, and obtaining mobile station speed is V ₂The second auto-correlation coefficient S set under=30 (km/h) condition ₂, wherein, S ₂={ s ₂(k), k=1,2 ... K ₂, K ₂Number for element in the set;

On same curve chart, draw mobile station speed V ₁=3 (km/h), V ₂The second auto-correlation coefficient S set that=30 (km/h) are corresponding ₁And S ₂Complementary cumulative probability distribution CCDF curve, specifically referring to Fig. 5.

The stochastic variable of this moment is an auto-correlation coefficient; Abscissa is represented the concrete value of auto-correlation coefficient, scope from 0 to 1; Ordinate is represented complementary cumulative probability value, scope from 0 to 1;

CCDF curve according to drawing is confirmed 2 threshold values between 3 speed class.

Can know according to Fig. 5: fast more when the movement velocity of travelling carriage, the CCDF distribution curve of auto-correlation coefficient is the closer to the left side; The movement velocity of travelling carriage is slow more, and curve is the closer to the right side.

A) CCDF _3km/h{ Re (R)=0.98}=99%, CCDF _30km/hRe (R)=0.98}=0.1%, promptly auto-correlation coefficient is 99% greater than 0.98 probability under the 3km/h condition, under the 30km/h condition auto-correlation coefficient greater than 0.98 probability for being 0.1%, so:

When Re (R)>=0.98, can judge v≤3 (km/h);

B) CCDF _3km/h{ Re (R)=0.90}=100%, CCDF _30km/hRe (R)=0.90}=98%, and promptly auto-correlation coefficient is 100% greater than 0.90 probability under the 3km/h condition, auto-correlation coefficient is 98% greater than 0.90 probability under the 30km/h condition, so:

When Re (R)＜0.90, can judge v＞30 (km/h);

C) by a) and b) can know: as 0.90≤Re (R)＜0.98, can judge 3 (km/h)＜v≤30 (km/h);

To sum up, can get 2 auto-correlation coefficient threshold values is respectively: Th ₁=0.98 and Th ₂=0.90.

The corresponding relation of auto-correlation coefficient value range and velocity interval value is:

The coefficient correlation value range, the velocity interval value.

0.90≤Re(R)＜0.98，3(km/h)＜v≤30(km/h)；

Re(R)＜0.90，v＞30(km/h)；

Re(R)≥0.98，v≤3(km/h)。

Travelling carriage moves under wireless channel environment, and corresponding relation when needs are confirmed the velocity interval of travelling carriage, obtains channel fading factor sampled value h after confirming in a period of time ^*(n), n is the sampled point corresponding sequence number.

According to the channel fading factor h that obtains ^*(n), calculating mobile station speed is V ^*Under alternative auto-correlation coefficient, computational methods are referring to formula one (perhaps formula two with formula three).

Need to prove that the mode of calculating auto-correlation coefficient when calculating the auto-correlation coefficient mode here and need set up with corresponding relation is identical.Adopt formula to get real part in the lump when setting up, also need adopt formula to get real part in the lump when then calculating auto-correlation coefficient here such as corresponding relation.

After obtaining N alternative auto-correlation coefficient; Just form the set of first auto-correlation coefficient; N in first an auto-correlation coefficient set alternative auto-correlation coefficient is asked on average then, obtains

and as actual auto-correlation coefficient value.

Here also can from the set of first auto-correlation coefficient, select one at random.

The corresponding relation of the actual auto-correlation coefficient value that obtains and auto-correlation coefficient value range and velocity interval value is compared; Confirm the corresponding velocity interval value of auto-correlation coefficient value range under the actual auto-correlation coefficient value, and with the velocity interval value of confirming as the current velocity interval value of travelling carriage.

Those skilled in the art should understand that embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of the embodiment of complete hardware embodiment, complete software implementation example or combination software and hardware aspect.And the present invention can be employed in the form that one or more computer-usable storage medium (including but not limited to magnetic disc store, CD-ROM, optical memory etc.) that wherein include computer usable program code go up the computer program of implementing.

The present invention is that reference is described according to the flow chart and/or the block diagram of method, equipment (system) and the computer program of the embodiment of the invention.Should understand can be by the flow process in each flow process in computer program instructions realization flow figure and/or the block diagram and/or square frame and flow chart and/or the block diagram and/or the combination of square frame.Can provide these computer program instructions to the processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device to produce a machine, make the instruction of carrying out through the processor of computer or other programmable data processing device produce to be used for the device of the function that is implemented in flow process of flow chart or a plurality of flow process and/or square frame of block diagram or a plurality of square frame appointments.

These computer program instructions also can be stored in ability vectoring computer or the computer-readable memory of other programmable data processing device with ad hoc fashion work; Make the instruction that is stored in this computer-readable memory produce the manufacture that comprises command device, this command device is implemented in the function of appointment in flow process of flow chart or a plurality of flow process and/or square frame of block diagram or a plurality of square frame.

These computer program instructions also can be loaded on computer or other programmable data processing device; Make on computer or other programmable devices and to carry out the sequence of operations step producing computer implemented processing, thereby the instruction of on computer or other programmable devices, carrying out is provided for being implemented in the step of the function of appointment in flow process of flow chart or a plurality of flow process and/or square frame of block diagram or a plurality of square frame.

Although described the preferred embodiments of the present invention, in a single day those skilled in the art get the basic inventive concept could of cicada, then can make other change and modification to these embodiment.So accompanying claims is intended to be interpreted as all changes and the modification that comprises preferred embodiment and fall into the scope of the invention.

From the foregoing description, can find out: the embodiment of the invention is obtained the channel fading factor sampled value of the residing wireless channel of travelling carriage in each sampling instant; According to the channel fading factor sampled value of obtaining, confirm the actual characteristic parameter value; According to the corresponding relation of predefined characterisitic parameter value range and velocity interval value, confirm the corresponding velocity interval value of the affiliated characterisitic parameter value range of actual characteristic parameter value; Wherein, actual characteristic parameter value corresponding characteristics parameter is the parameter of expression travelling carriage translational speed information.

Owing to according to the corresponding relation of predefined characterisitic parameter value range and velocity interval value, confirm the corresponding velocity interval value of the affiliated characterisitic parameter value range of actual characteristic parameter value, thereby improved the accuracy of definite mobile station speed scope.

The embodiment of the invention need not suppose current wireless channel environment to obey certain desirable probability distribution, and (speed estimation algorithms based on parameter Estimation in the background technology all must be obeyed certain desirable probability distribution by the assumed wireless channel, for example: based on the parameter estimation algorithm of the ACF hypothesis based on the channel fading Rayleigh distributed.Wireless channel alters a great deal in the actual environment; The general desirable rayleigh distributed of obedience that is difficult to; Under the condition of desirable probability distribution hypothesis, estimate that the velocity amplitude that obtains is very inaccurate), thus can be widely used in actual wireless channel environment, and can estimate the velocity interval of travelling carriage with lower computation complexity; Do not receive the structural limitations of concrete cell mobile communication systems: be applicable to 2G, 3G and 4G system; And be applicable to base station and travelling carriage (be the velocity interval that the base station can invent to confirm travelling carriage according to this, travelling carriage can invent to confirm the self speed scope according to this), be applicable to TDD (Time division duplex simultaneously; Time division duplex) and FDD (Frequency Division Duplex, FDD) system.

Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, belong within the scope of claim of the present invention and equivalent technologies thereof if of the present invention these are revised with modification, then the present invention also is intended to comprise these changes and modification interior.

Claims (12)

1. the method for a definite mobile station speed scope is characterized in that, this method comprises:

In each sampling instant, obtain the channel fading factor sampled value of the residing wireless channel of travelling carriage;

According to the channel fading factor sampled value of obtaining, confirm the actual characteristic parameter value;

According to the corresponding relation of predefined characterisitic parameter value range and velocity interval value, confirm the corresponding velocity interval value of the affiliated characterisitic parameter value range of actual characteristic parameter value;

Wherein, said actual characteristic parameter value corresponding characteristics parameter is the parameter of expression travelling carriage translational speed information.

2. the method for claim 1 is characterized in that, the process of said definite actual characteristic parameter value comprises:

According to the channel fading factor sampled value of obtaining, confirm the first characterisitic parameter value set, comprise at least one alternative characteristic parameter value in wherein said first characterisitic parameter set;

From the first characterisitic parameter value set, select an alternative characteristic parameter value as the actual characteristic parameter value, or alternative characteristic parameter value additions all in the first characterisitic parameter value set is asked on average, the value that obtains is as the actual characteristic parameter value.

3. the method for claim 1 is characterized in that, the corresponding relation of said characterisitic parameter value range and velocity interval value is set up according to the following step:

Preestablish at least one speed threshold value;

In each sampling instant, obtain the corresponding channel fading factor sampled value of each speed threshold value;

According to the channel fading factor sampled value of each speed threshold value correspondence, confirm the probability distribution curve of each speed threshold value;

According to the probability distribution curve of each speed threshold value, confirm the corresponding relation of characterisitic parameter value range and velocity interval value;

Wherein, said probability distribution curve is the curve of expression travelling carriage translational speed information.

4. method as claimed in claim 3 is characterized in that, the probability distribution curve of said definite each speed threshold value comprises:

The channel fading factor sampled value corresponding according to each speed threshold value confirmed the second characterisitic parameter value set that each speed threshold value is corresponding, wherein comprises a plurality of characteristic parameter value in the second characterisitic parameter value set;

The second characterisitic parameter value set corresponding according to each speed threshold value confirmed the corresponding probability distribution curve of characteristic parameter value under each speed threshold value condition.

5. method as claimed in claim 4 is characterized in that, the process of the second characterisitic parameter value set that said definite each speed threshold value is corresponding comprises:

The channel fading factor sampled value corresponding according to each speed threshold value calculates a plurality of characteristic parameter value;

To form a set based on the characteristic parameter value that the corresponding channel fading factor sampled value of same speed threshold value calculates, as the second corresponding characterisitic parameter value set of this speed threshold value.

6. the method for claim 1 is characterized in that, said characterisitic parameter is auto-correlation coefficient ACF or auto-covariance COV.

7. like claim 3 or 4 described methods, it is characterized in that said probability distribution curve is complementary cumulative probability distribution CCDF curve.

8. the equipment of a definite mobile station speed scope is characterized in that, this equipment comprises:

The sampled value acquisition module is used in each sampling instant, obtains the channel fading factor sampled value of the residing wireless channel of travelling carriage;

The characteristic parameter value determination module is used for confirming the actual characteristic parameter value according to the channel fading factor sampled value of obtaining;

The velocity interval determination module is used for the corresponding relation according to predefined characterisitic parameter value range and velocity interval value, confirms the corresponding velocity interval value of the affiliated characterisitic parameter value range of actual characteristic parameter value;

Wherein, said actual characteristic parameter value corresponding characteristics parameter is the parameter of expression travelling carriage translational speed information.

9. equipment as claimed in claim 8 is characterized in that, said characteristic parameter value determination module specifically is used for:

According to the channel fading factor sampled value of obtaining, confirm the first characterisitic parameter value set, comprise at least one alternative characteristic parameter value in wherein said first characterisitic parameter set; And from the first characterisitic parameter value set, select an alternative characteristic parameter value as the actual characteristic parameter value, or alternative characteristic parameter value additions all in the first characterisitic parameter value set is asked on average, the value that obtains is as the actual characteristic parameter value.

10. equipment as claimed in claim 8 is characterized in that, said equipment also comprises:

Set up module; Be used to preestablish at least one speed threshold value,, obtain the corresponding channel fading factor sampled value of each speed threshold value in each sampling instant; The channel fading factor sampled value corresponding according to each speed threshold value; Confirm the probability distribution curve of each speed threshold value,, confirm the corresponding relation of characterisitic parameter value range and velocity interval value according to the probability distribution curve of each speed threshold value;

Wherein, said probability distribution curve is the curve of expression travelling carriage translational speed information.

11. equipment as claimed in claim 10 is characterized in that, the said module of setting up specifically is used for:

The channel fading factor sampled value corresponding according to each speed threshold value confirmed the second characterisitic parameter value set that each speed threshold value is corresponding, wherein comprises a plurality of characteristic parameter value in the second characterisitic parameter value set; The second characterisitic parameter value set corresponding according to each speed threshold value confirmed the corresponding probability distribution curve of characteristic parameter value under each speed threshold value condition.

12. equipment as claimed in claim 11 is characterized in that, the said module of setting up specifically is used for:

The channel fading factor sampled value corresponding according to each speed threshold value calculates a plurality of characteristic parameter value; To form a set according to the characteristic parameter value that the corresponding channel fading factor sampled value of same speed threshold value calculates, as the second corresponding characterisitic parameter value set of this speed threshold value.

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