基于最小二乘的天线组阵合成权值及信噪比盲估计

Blind combining weight and SNR estimation by least squares in antenna arraying system

针对天线组阵中的合成权值估计问题,提出了一种基于最小二乘的权值盲估计及多路信号盲信噪比估计算法。该算法利用多路信号间的协方差矩阵,分别构建关于信道幅度增益与相位旋转因子的超定方程组,最终通过最小二乘方法完成权值及信噪比的估计。仿真结果表明,该算法的权值估计性能在低信噪比条件下比EIGEN算法有明显改善;同时较现有基于矩估计的信噪比估计算法,该算法具有更好的估计精度。

For the problem of blind combining weight estimation in antenna arraying system,a least squares-based blind combining weight and signal-to-noise ratio（SNR） estimator are proposed.Using the covariance matrix of the signals received from multiple antennas,the proposed algorithm establishes equations relative to the real positive channel gains and the channel phase rotations,and then the weights and SNRs are solved by the least squares approach.Simulation results show that the algorithm outperforms the EIGEN method at low SNR levels,and compared to existing moment-based SNR estimators,the proposed algorithm achieves better estimation precision.