CN102457448A - Method and device for estimating signal interference noise ratio of radio communication system - Google Patents

Method and device for estimating signal interference noise ratio of radio communication system Download PDF

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CN102457448A
CN102457448A CN2010105249830A CN201010524983A CN102457448A CN 102457448 A CN102457448 A CN 102457448A CN 2010105249830 A CN2010105249830 A CN 2010105249830A CN 201010524983 A CN201010524983 A CN 201010524983A CN 102457448 A CN102457448 A CN 102457448A
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signal
noise ratio
baseband signal
interference plus
plus noise
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CN102457448B (en
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侯晓辉
杨锋
卢勤博
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ZTE Corp
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ZTE Corp
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H04B17/336—Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]

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Abstract

The invention relates to a method and a device for estimating the signal interference noise ratio of a radio communication system. The method comprises the following steps: receiving a baseband signal y; and according to the baseband signal y, calculating to obtain the signal interference noise ratio. The method and device provided by the invention have the advantages of being low in computational complexity, obviously improving the signal interference noise ratio estimation accuracy, and having great significance in improving the demodulation performance, improving the power control accuracy, improving the data transmission rate and better carrying out dynamic distribution for the channel, and the accuracy on estimating the signal interference noise ratio can be obviously improved.

Description

The method of estimation of wireless communication system Signal to Interference plus Noise Ratio and device
Technical field
The present invention relates to communication technical field, specifically is the method for estimation and the device of wireless communication system Signal to Interference plus Noise Ratio.
Background technology
In mobile communication, it is a very important techniques that the Signal to Interference plus Noise Ratio of channel is estimated, power control, Adaptive Transmission, sub-district switching, dynamic channel allocation, space diversity merging etc. all need estimate the Signal to Interference plus Noise Ratio (SINR) of channel fast and accurately.The method of estimation of present Signal to Interference plus Noise Ratio mainly contains following several kinds, and first kind is to utilize the constellation of restituted signal to calculate, but the accuracy that this kind method is estimated is not high enough; Second kind is the functional relation of setting up the error rate and Signal to Interference plus Noise Ratio, utilizes this functional relation, shines upon Signal to Interference plus Noise Ratio according to the error rate; This kind method need be set up function relation curve, generally realizes through tabling look-up during practical application, and complexity is improved greatly; Simultaneously because wireless environment is changeable; The error rate of setting up and the function relation curve of Signal to Interference plus Noise Ratio also often are difficult to follow the tracks of the quick variation of going up complex wireless environments, and in addition, the accuracy that this method is estimated neither be very high; The third is to estimate through the second moment of signal and Fourth-order moment, but the accuracy that the method is estimated is not high.
Summary of the invention
Main purpose of the present invention provides the method for estimation and the device of the wireless communication system Signal to Interference plus Noise Ratio that a kind of real-time tracking property is good, accuracy of estimation is high.
The technical solution adopted for the present invention to solve the technical problems is:
A kind of method of estimation of wireless communication system Signal to Interference plus Noise Ratio is characterized in that, comprising:
Receiving baseband signal y,
Calculate Signal to Interference plus Noise Ratio according to said baseband signal y.
Preferably, said receiving baseband signal y afterwards, further comprises: said baseband signal y is carried out the baseband signal y after despining obtains despining.
Figure BDA0000030045970000021
Preferably, said P=dim (N (A T)), wherein: R (A) and N (A T) be the left kernel of the value space of linear transformation A and linear transformation A, { e P+1, L, e LIt is the orthonormal basis of R (A).
The present invention also provides a kind of Signal to Interference plus Noise Ratio estimation unit, and it comprises:
Signal receiving unit is used for receiving baseband signal y.
The Signal to Interference plus Noise Ratio computing unit is used for calculating Signal to Interference plus Noise Ratio according to said baseband signal y.
Preferably, said device also comprises: the despining unit is used for said baseband signal y is carried out the baseband signal y after despining obtains despining.
Preferably; Said signal y=Ah+w; Wherein: M is the disperse length of channel; The matrix of A for constituting by training sequence;
Figure BDA0000030045970000022
h is the coefficient of channel,
Figure BDA0000030045970000023
w be noise or disturb; Said Signal to Interference plus Noise Ratio is: wherein; Said signal power
Figure BDA0000030045970000025
is: the power of
Figure BDA0000030045970000026
said noise and interference
Figure BDA0000030045970000027
is: said
Figure BDA0000030045970000029
Figure BDA00000300459700000210
r be the symbol of the baseband signal of each reception; L is the number of the symbol of the corresponding reception signal of the training sequence of emission, and P is the dimension of the left kernel of linear transformation A.
Preferably, said P=dim (N (A T)), wherein: R (A) and N (A T) be the left kernel of the value space of linear transformation A and linear transformation A, { e P+1, L, e LIt is the orthonormal basis of R (A).
The technical scheme of embodiment of the present invention; Has following beneficial effect: method and apparatus provided by the invention; Computation complexity is low; And can significantly improve the accuracy that Signal to Interference plus Noise Ratio is estimated, to improving demodulation performance, improve power control accuracy, promote message transmission rate, the dynamic assignment of better carrying out channel has great importance.
Description of drawings
The method flow diagram that Fig. 1 provides for the embodiment of the invention;
Another flow chart of method that Fig. 2 provides for the embodiment of the invention;
The apparatus structure sketch map that Fig. 3 provides for the embodiment of the invention;
Another structural representation of device that Fig. 4 provides for the embodiment of the invention.
Embodiment
In order to make the object of the invention, technical scheme and advantage clearer,, the present invention is further elaborated below in conjunction with accompanying drawing and embodiment.Should be appreciated that specific embodiment described herein only in order to explanation the present invention, and be not used in qualification the present invention.
Provide the signal to interference and noise ratio (SINR) estimating method of gsm communication system, as shown in Figure 1, comprise step:
S110, receiving baseband signal y;
In other embodiment; As at GMSK (GaussianFilteredMinimumShiftKeying; GMSK Gaussian-filtered minimum shift keying), as shown in Figure 2, this method also need further comprise step: S111, said baseband signal y is carried out the baseband signal y after despining obtains despining;
S120, calculate Signal to Interference plus Noise Ratio according to said baseband signal y.
In the present embodiment; Said signal y=Ah+w; Wherein: the matrix of A for constituting by training sequence;
Figure BDA0000030045970000031
h is the coefficient of channel,
Figure BDA0000030045970000032
w be noise or disturb; M is the disperse length of channel; Said Signal to Interference plus Noise Ratio is:
Figure BDA0000030045970000033
wherein; Said signal power is: the power of
Figure BDA0000030045970000035
said noise and interference
Figure BDA0000030045970000036
is:
Figure BDA0000030045970000037
said
Figure BDA0000030045970000038
Figure BDA0000030045970000041
r be the symbol of the baseband signal of each reception; L is the number of the symbol of the corresponding reception signal of the training sequence of emission, and P is the dimension of the left kernel of linear transformation A.
Said P=dim (N (A T)), wherein: make R (A) and N (A T) for the left kernel of the value space of linear transformation A and linear transformation A, make { e P+1, L, e LIt is the orthonormal basis of R (A).
The present invention also provides a kind of Signal to Interference plus Noise Ratio estimation unit, and is as shown in Figure 3, and this device comprises:
Signal receiving unit 210 is used for receiving baseband signal y;
Signal to Interference plus Noise Ratio computing unit 220 is used for calculating Signal to Interference plus Noise Ratio according to said signal y.
In other device embodiment, as shown in Figure 4, this device also further comprises: despining unit 211 is used for said baseband signal y is carried out the baseband signal y after despining obtains despining.
In said apparatus embodiment; Said signal y=Ah+w; Wherein: M is the disperse length of channel; The matrix of A for constituting by training sequence;
Figure BDA0000030045970000042
h is the coefficient of channel;
Figure BDA0000030045970000043
w is noise or disturbs; Said Signal to Interference plus Noise Ratio is: wherein; Said signal power
Figure BDA0000030045970000045
is: the power of
Figure BDA0000030045970000046
said noise and interference
Figure BDA0000030045970000047
is:
Figure BDA0000030045970000048
said
Figure BDA0000030045970000049
Figure BDA00000300459700000410
r be the symbol of the baseband signal of each reception; L is the number of the symbol of the corresponding reception signal of the training sequence of emission, and P is the dimension of the left kernel of linear transformation A.
In other embodiment, further comprise: said P=dim (N (A T)), make R (A) and N (A T) for the left kernel of the value space of linear transformation A and linear transformation A, make { e P+1, L, e LIt is the orthonormal basis of R (A).
The application implementation example of using said method and device embodiment is provided below.
With GMSK (GaussianFilteredMinimumShiftKeying; GMSK Gaussian-filtered minimum shift keying) to cross the TU3 channel be example to modulation signal; Come further to set forth the present technique scheme, wherein the employed training sequence of GMSK modulation signal is TSC6, for the corresponding M=6 of TU3 channel.Baseband signal to receiving is carried out the despining of
Figure BDA0000030045970000051
; Obtain signal y; In other modulation signal, judge whether that according to actual conditions needs carry out despining or other processing.Calculate the corresponding training sequence matrix of TSC6
1 - 1 - 1 1 - 1 1 1 1 - 1 - 1 1 - 1 M M M M M M 1 1 1 1 1 - 1 21 × 6
Calculate Q=dim (R (A))=6, P=dim (N (A T))=15.
Calculate the orthonormal basis { e of R (A) P+1, L, e L}
Figure BDA0000030045970000061
Calculate
Figure BDA0000030045970000062
then signal power
Figure BDA0000030045970000063
be:
Figure BDA0000030045970000064
then the power of noise and interference is:
Figure BDA0000030045970000066
is last, and the calculating Signal to Interference plus Noise Ratio is:
Figure BDA0000030045970000067
More than be merely preferred embodiment of the present invention,, all any modifications of within spirit of the present invention and principle, being done, be equal to and replace and improvement etc., all should be included within protection scope of the present invention not in order to restriction the present invention.

Claims (8)

1. the method for estimation of a wireless communication system Signal to Interference plus Noise Ratio is characterized in that, comprising:
Receiving baseband signal y,
Calculate Signal to Interference plus Noise Ratio according to said baseband signal y.
2. method according to claim 1 is characterized in that said receiving baseband signal y afterwards, further comprises: said baseband signal y is carried out the baseband signal y after despining obtains despining.
3. method according to claim 1 or claim 2; It is characterized in that; Concrete: said baseband signal y=Ah+w; Wherein: M is the disperse length of channel; The matrix of A for constituting by training sequence;
Figure FDA0000030045960000011
h is the coefficient of channel, w be noise or disturb; Said Signal to Interference plus Noise Ratio is: wherein; Said signal power
Figure FDA0000030045960000014
is: the power of
Figure FDA0000030045960000015
said noise and interference
Figure FDA0000030045960000016
is: said
Figure FDA0000030045960000018
Figure FDA0000030045960000019
r Wei the symbol of each receiving baseband signal; L is the number of the symbol of the corresponding reception signal of the training sequence of emission, and P is the dimension of the left kernel of linear transformation A.
4. like the said method of claim 3, it is characterized in that, further comprise: said P=dim (N (A T)), wherein: R (A) and N (A T) be the left kernel of the value space of linear transformation A and linear transformation A, { e P+1, L, e LIt is the orthonormal basis of R (A).
5. a Signal to Interference plus Noise Ratio estimation unit is characterized in that, comprising:
Signal receiving unit is used for receiving baseband signal y.
The Signal to Interference plus Noise Ratio computing unit is used for calculating Signal to Interference plus Noise Ratio according to said baseband signal y.
6. like the said device of claim 5, it is characterized in that, also comprise: the despining unit is used for said baseband signal y is carried out the baseband signal y after despining obtains despining.
7. like claim 5 or 6 said devices; It is characterized in that; Said baseband signal y=Ah+w; Wherein: M is the disperse length of channel; The matrix of A for constituting by training sequence;
Figure FDA0000030045960000021
h is the coefficient of channel, w be noise or disturb; Said Signal to Interference plus Noise Ratio is:
Figure FDA0000030045960000023
wherein; Said signal power is: the power of said noise and interference is:
Figure FDA0000030045960000027
said
Figure FDA0000030045960000028
Figure FDA0000030045960000029
r Wei the symbol of the baseband signal of each reception; L is the number of the symbol of the corresponding reception signal of the training sequence of emission, and P is the dimension of the left kernel of linear transformation A.
8. like the said device of claim 7, it is characterized in that, further comprise: said P=dim (N (A T)), wherein: R (A) and N (A T) be the left kernel of the value space of linear transformation A and linear transformation A, { e P+1, L, e LIt is the orthonormal basis of R (A).
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Cited By (1)

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CN105577296A (en) * 2014-10-17 2016-05-11 联芯科技有限公司 Demodulation SINR (Signal to Interference plus Noise Ratio) measuring method and device

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CN2757451Y (en) * 2004-11-19 2006-02-08 凯明信息科技股份有限公司 Fine frequency corrector
CN1780156A (en) * 2004-11-22 2006-05-31 凯明信息科技股份有限公司 Signalling dry-ratio estimation
CN101527696A (en) * 2008-03-06 2009-09-09 中兴通讯股份有限公司 Method and device for realizing equalization demodulation of GSM/EDGE system

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CN101800728A (en) * 2010-03-08 2010-08-11 马红梅 OFDM (Orthogonal Frequency Division Multiplexing) related coefficient signal-to-noise ratio estimation algorithm
CN102137053B (en) * 2011-05-06 2013-07-10 中国工程物理研究院电子工程研究所 Method for estimating signal to noise ratio of BPSK (Binary Phase Shift Keying) signal

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Publication number Priority date Publication date Assignee Title
CN2757451Y (en) * 2004-11-19 2006-02-08 凯明信息科技股份有限公司 Fine frequency corrector
CN1780156A (en) * 2004-11-22 2006-05-31 凯明信息科技股份有限公司 Signalling dry-ratio estimation
CN101527696A (en) * 2008-03-06 2009-09-09 中兴通讯股份有限公司 Method and device for realizing equalization demodulation of GSM/EDGE system

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105577296A (en) * 2014-10-17 2016-05-11 联芯科技有限公司 Demodulation SINR (Signal to Interference plus Noise Ratio) measuring method and device
CN105577296B (en) * 2014-10-17 2018-06-22 联芯科技有限公司 A kind of demodulation Signal to Interference plus Noise Ratio measuring method and device

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