CN100539571C - Signal-noise ratio estimation method under a kind of quadrature amplitude modulation mode - Google Patents

Abstract

The present invention proposes the signal-noise ratio estimation method under a kind of quadrature amplitude modulation mode, use quadrature amplitude modulation in the communication link, choose one section restituted signal sequence and carry out signal-to-noise ratio (SNR) estimation: the mean value of the in-phase component of computation of modulation signals constellation point and the quadratic sum of quadrature component, with the mean value of the in-phase component of modulation signal constellation point and quadrature component absolute value sum square, the proportionality coefficient C between two values; Calculate square D of the mean value of restituted signal in-phase component and quadrature component absolute value sum ²Estimate the restituted signal power P _S=CD ²Utilize maximum-likelihood criterion that restituted signal is adjudicated, the decision signal constellation point is A _m', estimating noise power: see the bottom right formula; According to P _SWith P _n, estimated snr SNR _Est=P _S/ P _nUse the method among the present invention, can simply and accurately estimate the signal to noise ratio under the communication link current state when using quadrature amplitude modulation in the communication link.

Description

Signal-noise ratio estimation method under a kind of quadrature amplitude modulation mode

(1) technical field

The present invention relates to the signal processing method in a kind of digital communication system, more particularly, relate to signal to noise ratio (the Signal to Noise Ratio) method of estimation under a kind of quadrature amplitude modulation (Quadrature Amplitude Modulation) mode, use the method among the present invention, can simply and accurately estimate the signal to noise ratio under the communication link current state when using quadrature amplitude modulation in the communication link.

(2) background technology

Development along with modern communication technology, at a high speed, demand stable, that communicate whenever and wherever possible strengthens day by day, the 3G (Third Generation) Moblie technology is as the evolution technology after the first generation and second generation mobile communication technology, aim to provide high speed, stable, jumbo mobile communication system solution, thereby when satisfying voice communication demand whenever and wherever possible, can also provide the high quality communication service of multimedia services such as data, video and image.

Thus in 3-G (Generation Three mobile communication system), Adaptive Modulation and Coding (Adaptive Modulation and Coding) has been proposed, mix and repeat (Hybrid Automatic Repeat on Request) automatically, many antenna emissions and many antennas receive a series of technology such as (Multiple Input MultipleOutput) to support the transfer of data of two-forty, wherein, adaptive coding modulation refers to the state parameter information of transmitting set according to the current wireless channel, adaptive different modulation systems and the chnnel coding chosen: when wireless channel is in the decline state, be that channel transmission quality is when relatively poor, transmitter will be chosen the modulation system and the chnnel coding of more tough and tensile (Robust), the modulation system and the error correcting capability that are lower-order are stronger, the chnnel coding that code efficiency is lower, with the opposing channel fading for harmful effect that communication process was produced; When wireless channel is in enhanced situation, be that channel transmission quality is when better, transmitter will be chosen modulation system and chnnel coding more efficiently, i.e. weak, the higher chnnel coding of code efficiency of the modulation system of high-order and error correcting capability more is to improve the frequency spectrum resource utilization rate of communication system.By adaptive adjustment modulation system of transmitting set and chnnel coding, made full use of the state parameter feature of current wireless channel, to adapt to the fluctuation state variation of wireless channel, can make the data throughput (Throughput) of communication system reach maximum.

Based on the These characteristics of Adaptive Modulation and Coding technology, can obtain the state parameter information of current wireless channel accurately, thereby modulation system and the chnnel coding selecting to adapt with it are key factors of decision Adaptive Modulation and Coding performance.Signal to noise ratio under the communication link current state is a channel status parameter commonly used, can reflect the transmission quality of current channel.When wireless channel was in the decline state, the signal to noise ratio under the communication link current state was lower, accordingly current during this period of time in the transmission quality of channel relatively poor; When wireless channel was in enhanced situation, the signal to noise ratio under the communication link current state was higher, accordingly current during this period of time in the transmission quality of channel higher.Therefore when using the Adaptive Modulation and Coding technology, transmitting set can recently be learnt the fluctuation state of wireless channel according to the noise under the communication link current state, thus adaptive adjustment modulation system and chnnel coding.

In Modern Mobile Communications Systems, quadrature amplitude modulation because of its efficiently frequency spectrum resource utilization rate obtained increasing concern and application.Quadrature amplitude modulation signal s (t) can be expressed as: s (t)=a _kCos2 π f _cT+b _kSin2 π f _cT, k=1,2 ..., K, wherein a _kBe the in-phase component of quadrature amplitude modulation signal constellation point, b _kBe the quadrature component of quadrature amplitude modulation signal constellation point, K is the number of modulation signal constellation point, i.e. the exponent number of quadrature amplitude modulation, f _cBe carrier frequency.The 16QAM modulation refers to that modulation signal constellation point number K is 16 quadrature amplitude modulation.In existing 3-G (Generation Three mobile communication system) standard, 16QAM modulation is a kind of of the modulation system that defines in the Adaptive Modulation and Coding technology.Therefore when in the communication link during employing 16QAM modulation system, as mentioned above, how the signal to noise ratio under the obtaining communication link current state is technical issues that need to address.

For seeing also document 3GPP TS25.213,3GPP TS 25.223,3GPP TR 25.855,3GPP TR 25.858 and 3GPP TR 25.950 (3GPP website about Adaptive Modulation and Coding technology more detailed description in the 3-G (Generation Three mobile communication system) standard Www.3gpp.orgIn the download of document is provided).

(3) summary of the invention

The purpose of wood invention is in order to solve above-mentioned when adopting the quadrature amplitude modulation mode in the communication link, the problem of the signal to noise ratio under the obtaining communication link current state how, signal-noise ratio estimation method under a kind of quadrature amplitude modulation mode is provided, can simply and accurately estimate the signal to noise ratio under the communication link current state when using the quadrature amplitude modulation mode in the communication link.

Above-mentioned goal of the invention is realized by following method of the present invention: the signal-noise ratio estimation method under a kind of quadrature amplitude modulation mode, wherein use quadrature amplitude modulation in the communication link, and the quadrature amplitude modulation signal constellation point is A _k, A _k=a _k+ jb _k, k=1,2 ..., K, a _kBe the in-phase component of modulation signal constellation point, b _kBe the quadrature component of modulation signal constellation point, K is the number of modulation signal constellation point, and the probability of occurrence of each modulation signal constellation point equates and be independent; Signal after the receiver end demodulation is D _m, D _m=I _m+ jQ _m, m=1,2, L, I _mBe the in-phase component of restituted signal, Q _mBe the quadrature component of restituted signal, m is the sequence number of restituted signal, it is characterized in that: intercept one section restituted signal sequence m=i, and i+1 ..., i+M-1, signal-to-noise ratio (SNR) estimation is carried out according to this section restituted signal sequence of intercepting in M 〉=1, comprises that step is as follows:

A. estimate the restituted signal power P _SWith noise power P _n: the mean value of the in-phase component of computation of modulation signals constellation point and the quadratic sum of quadrature component, with the mean value of the in-phase component of modulation signal constellation point and quadrature component absolute value sum square, the proportionality coefficient C between two values, $C=\frac{\frac{1}{K}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}(a_k^2+b_k^2)}{{\left[\frac{1}{2K}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}(\left|a_k\right|+\left|b_k\right|)\right]}^2};$ Calculate square D of the mean value of restituted signal in-phase component and quadrature component absolute value sum ², $D^2={\left[\frac{1}{2M}\underset{m=i}{\overset{i+M-1}{\mathrm{\Σ}}}(\left|I_m\right|+\left|Q_m\right|)\right]}^2;$ Estimate the restituted signal power P _S, P _S=CD ²Utilizing maximum-likelihood criterion (Maximum Likelihood Criterion) is that minimum Eustachian distance criterion (Minimum Euclidean Distance) is adjudicated restituted signal, and the decision signal constellation point is $A_m^{\′}=a_m^{\′}+{\mathrm{jb}}_m^{\′}=\underset{k=\mathrm{1,2},\·\·\·K}{\min }\left({|D_m-A_k|}^2\right),$ M=i, i+1 ..., i+M-1,

Be the in-phase component of decision signal constellation point,

Quadrature component for the decision signal constellation point; Estimating noise power P _n,

$P_n=\frac{1}{M}\underset{m=i}{\overset{i+M-1}{\mathrm{\Σ}}}{|D_m-A_m^{\′}|}^2;$

B. estimated snr SNR _Est: ${\mathrm{SNR}}_{\mathrm{est}}=\frac{P_S}{P_n}.$

According to an aspect of the present invention, it is characterized in that any in the digital communication system of using quadrature amplitude modulation of digital communication system that described method is suitable for.

According to another aspect of the present invention, it is characterized in that adopting in the described communication link 16QAM modulation system.

According to a further aspect of the invention, the mean value that it is characterized in that the quadratic sum of the in-phase component of described modulation signal constellation point and quadrature component, with the mean value of the in-phase component of modulation signal constellation point and quadrature component absolute value sum square, the proportionality coefficient C between two values equals 2.5.

According to a further aspect of the invention, the restituted signal sequence length that it is characterized in that described intercepting is 44 16QAM modulation symbols, i.e. M=44.

According to also aspect of the present invention, it is characterized in that the noise in the described communication link is additive white Gaussian noise (Additive WhiteGaussian Noise).

(4) description of drawings

Purpose of the present invention and feature will be elaborated in conjunction with the accompanying drawings by embodiment, and these embodiment are illustrative, not have restricted.

Fig. 1 represents the modulated signal constellation under the 16QAM modulation system, horizontal stroke, the ordinate value of the numeral modulation signal constellation point in the bracket that marks among the figure, i.e. the in-phase component value of modulation signal constellation point and quadrature component value.

Fig. 2 represents to use method of the present invention, the signal-to-noise ratio (SNR) estimation value SNR of gained _EstComparison diagram with the signal to noise ratio reference value of setting.

(5) embodiment

Fig. 1 and Fig. 2 represent one embodiment of the present of invention.

In digital communication system, when using the 16QAM modulation system in the communication link, 16QAM modulation signal constellation point is A _k, A _k=a _k+ jb _k, k=1,2 ..., 16, a _kBe the in-phase component of modulation signal constellation point, b _kBe the quadrature component of modulation signal constellation point, K is the number of modulation signal constellation point, a _k∈ 1 ,-1,3 ,-3}, b _k∈ 1 ,-1,3 ,-3}, as shown in Figure 1, horizontal stroke, the ordinate value of the numeral modulation signal constellation point in the bracket that marks among the figure, i.e. the in-phase component value of modulation signal constellation point and quadrature component value, the probability of occurrence of each modulation signal constellation point equates and is independent; At receiver end, for the signal to noise ratio under the obtaining communication link current state, to carrying out demodulation through the received signal after the Channel Transmission, the signal after the demodulation is D _m, D _m=I _m+ jQ _m, m=1,2 ..., I _mBe the in-phase component of restituted signal, Q _mBe the quadrature component of restituted signal, m is the sequence number of restituted signal; Intercept one section restituted signal sequence m=i, i+1 ..., i+M-1, M=44 carries out signal-to-noise ratio (SNR) estimation according to this section restituted signal sequence, comprises that step is as follows:

1. estimate the restituted signal power P _SWith noise power P _n: the mean value of the in-phase component of computation of modulation signals constellation point and the quadratic sum of quadrature component, with the mean value of the in-phase component of modulation signal constellation point and quadrature component absolute value sum square, the proportionality coefficient C between two values, $C=\frac{\frac{1}{16}\underset{k=1}{\overset{16}{\mathrm{\Σ}}}(a_k^2+b_k^2)}{{\left[\frac{1}{32}\underset{k=1}{\overset{16}{\mathrm{\Σ}}}(\left|a_k\right|+\left|b_k\right|)\right]}^2}=\frac{\frac{1}{16}(16\×3^2+16\×1^2)}{{\left[\frac{1}{32}(16\×3+16\×1)\right]}^2}=2.5;$ Calculate square D of the mean value of restituted signal in-phase component and quadrature component absolute value sum ², $D^2={\left[\frac{1}{88}\underset{m=i}{\overset{i+43}{\mathrm{\Σ}}}(\left|I_m\right|+\left|Q_m\right|)\right]}^2;$ Estimate the restituted signal power P _S, P _S=2.5D ²Utilize maximum-likelihood criterion that restituted signal is adjudicated, the decision signal constellation point is

$A_m^{\′}=a_m^{\′}+{\mathrm{jb}}_m^{\′}=\underset{k=\mathrm{1,2},\·\·\·16}{\min }\left({|D_m-A_k|}^2\right),$ M=i, i+1, L, i+43,

Be the in-phase component of decision signal constellation point, Quadrature component for the decision signal constellation point; Estimating noise power P _n, $P_n=\frac{1}{44}\underset{m=i}{\overset{i+43}{\mathrm{\Σ}}}{|D_m-A_m^{\′}|}^2;$

2. estimated snr SNR _Est: signal to noise ratio ${\mathrm{SNR}}_{\mathrm{est}}=\frac{P_S}{P_n}.$

In order to check the method for the present invention of using, carry out the performance of signal-to-noise ratio (SNR) estimation, communication link to above-mentioned use 16QAM modulation system carries out emulation, change signal to noise ratio in the communication link by in emulation, setting power that different additive white Gaussian noise power or change transmit, carry out signal-to-noise ratio (SNR) estimation according to the calculation procedure in the foregoing description then; Signal-to-noise ratio (SNR) estimation value SNR with gained _EstCompare with the signal to noise ratio reference value of setting in the emulation, and get the point-rendering curve, as shown in Figure 2, abscissa is represented the snr value set in the emulation among the figure, and ordinate is represented the estimated value SNR of signal to noise ratio among the figure _EstWith the snr value set in the emulation as a reference, suppose that promptly the signal-to-noise ratio (SNR) estimation value promptly is the snr value of setting in the emulation, shown in the blue curve among the figure, under the signal to noise ratio of in emulation, setting, use the signal-to-noise ratio (SNR) estimation value SNR of the calculation procedure gained in the foregoing description _EstShown in the red curve among the figure; Two curves in the comparison diagram use the signal-to-noise ratio (SNR) estimation value SNR of the signal-noise ratio estimation method gained in the foregoing description as can be seen _EstIdentical substantially with the snr value of setting in the emulation.

The length of the restituted signal sequence that intercepts when carrying out signal-to-noise ratio (SNR) estimation by growth promptly increases the M value, has increased the average time in the signal-to-noise ratio (SNR) estimation computational process, perhaps by some existing filtering techniques, to the signal-to-noise ratio (SNR) estimation value SNR of gained _EstFurther revise, can further improve the performance of described signal-noise ratio estimation method.

Thereby, use method of the present invention, can be when using the quadrature amplitude modulation mode in the communication link, simply and accurately estimate the signal to noise ratio under the communication link current state, thereby learn current during this period of time in the transmission quality of channel, when using the Adaptive Modulation and Coding technology, transmitting set can come adaptive adjustment modulation system and chnnel coding according to the signal to noise ratio under the resulting communication link current state thus, so that the data throughput of communication system reaches maximum.

Claims (5)

1. the signal-noise ratio estimation method under the quadrature amplitude modulation mode wherein uses quadrature amplitude modulation in the communication link, and the quadrature amplitude modulation signal constellation point is A _k, A _k=a _k+ jb _k, k=1,2 ..., K, a _kBe the in-phase component of modulation signal constellation point, b _kBe the quadrature component of modulation signal constellation point, K is the number of modulation signal constellation point, and the probability of occurrence of each modulation signal constellation point equates and be independent; Signal after the receiver end demodulation is D _m, D _m=I _m+ jQ _m, m=1,2 ..., I _mBe the in-phase component of restituted signal, Q _mBe the quadrature component of restituted signal, m is the sequence number of restituted signal, it is characterized in that: intercept one section restituted signal sequence m=i, and i+1 ..., i+M-1, signal-to-noise ratio (SNR) estimation is carried out according to this section restituted signal sequence of intercepting in M 〉=1, comprises that step is as follows:

A. estimate the restituted signal power P _SWith noise power P _n: the mean value of the in-phase component of computation of modulation signals constellation point and the quadratic sum of quadrature component, with the mean value of the in-phase component of modulation signal constellation point and quadrature component absolute value sum square, the proportionality coefficient C between two values, $C=\frac{\frac{1}{K}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}(a_k^2+b_k^2)}{{\left[\frac{1}{2K}\underset{k=1}{\overset{K}{\mathrm{\Σ}}}\left(\right|a_k|+|b_k\left|\right)\right]}^2};$ Calculate square D of the mean value of restituted signal in-phase component and quadrature component absolute value sum ², $D^2={\left[\frac{1}{2M}\underset{m=i}{\overset{i+M-1}{\mathrm{\Σ}}}\left(\right|I_m|+|Q_m\left|\right)\right]}^2;$ Estimate the restituted signal power P _S, P _S=CD ²Utilize maximum-likelihood criterion that restituted signal is adjudicated, the decision signal constellation point is A ' _m, $A_m^{\′}=a_m^{\′}+j{b}_m^{\′}=\underset{k=\mathrm{1,2},\·\·\·K}{\min }\left({|D_m-A_k|}^2\right),$ M=i, i+1 ..., i+M-1,

Be the in-phase component of decision signal constellation point,

Quadrature component for the decision signal constellation point; Estimating noise power P _n,

$P_n=\frac{1}{M}\underset{m=i}{\overset{i+M-1}{\mathrm{\Σ}}}{|D_m-A_m^{\′}|}^2;$

B. estimated snr SNR _Est: ${\mathrm{SNR}}_{\mathrm{est}}=\frac{P_S}{P_n}.$

2. the method for claim 1 is characterized in that described quadrature amplitude modulation adopts the 16QAM modulation system.

3. method as claimed in claim 2, the mean value that it is characterized in that the quadratic sum of the in-phase component of described modulation signal constellation point and quadrature component, with the mean value of the in-phase component of modulation signal constellation point and quadrature component absolute value sum square, the proportionality coefficient C between two values equals 2.5.

4. method as claimed in claim 3, the restituted signal sequence that it is characterized in that described intercepting are 44 16QAM modulation symbols.

5. as the described method of one of claim 1 to 4, it is characterized in that the noise in the described communication link is an additive white Gaussian noise.

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