一种基于序列相关的信噪比估计算法

针对多径信道，提出了一种基于序列相关的信噪比估计算法，利用本地序列与接收信号相关，并采用最小二乘估计法，精确地估计了接收信号幅度和噪声方差，得到了两径信道下信噪比的估计值。仿真结果表明该算法整体估计性能较好，特别适合于低信噪比条件下。在信噪比为-1dB时，与现有的频域和二阶矩四阶矩（M2M4，2-order and 4-order Moments）估计算法相比，该算法的归一化均方误差分别降低了0．09和0．2。

A SNR Estimation Algorithm based on Sequence Correlation

For the multipath channel, a SNR estimation algorithm based on sequence correlation is proposed. By utilizing the correlation of local sequence and received signal, the signal amplitudes and the noise variance are precisely estimated with Least squares estimation algorithm, and the estimated value of SNR in two-path channel is obtained. Simulation results show that this algorithm, as a whole, performs better than frequency domain and 2-order and 4-order moments （M2M4） estimation algorithms particularly suitable for the condition of low SNR. As the actual SNRis -IdB, the normalized mean square error of the proposed algorithm is reduced by 0.09 and 0.2 respectively.