基于最优合并和特征值的多天线信号检测算法

Multi-Antenna Signal Detection Algorithm Based on Optimal Weight Combination and Eigenvalue

针对噪声不确定性条件下的多天线信号检测问题,提出一种基于频域最优权值合并和特征值检测的多天线信号检测算法。该算法首先对各路天线信号进行频域最优权值合并;然后基于合并后信号自相关矩阵的特征值构建新的检测统计量,利用随机矩阵理论推导检测门限,并对检测门限和检测统计量进行比较而做出最终判决。理论分析和仿真结果表明,所提算法提高了信号检测性能,且不要求多天线接收信号的噪声功率相等。

To achieve multi-antenna signal detection under the condition of noise uncertainty,a multi-antenna signal detection algorithm is proposed based on the combination of the optimal weight in the frequency domain and the eigenvalue detection. The algorithm first combines each antenna signal in the frequency domain with the optimal weight. Then,based on the eigenvalues of the autocorrelation matrix of the combined signal,the new detection statistic is constructed,and the detection threshold is deduced by the stochastic matrix theory. The final judgment is dependent on the comparison of the detection threshold and the detection statistic. The algorithm is a blind detection algorithm,and the detection process does not require of information the signal power and noise power.Theoretical analysis and simulation results show that the proposed algorithm improves the signal detection performance,and does not require the noise variance of the multi-antenna signals to be equal.