一种基于贝叶斯估计的高分辨目标定向新方法

BAYESIAN APPROACH TO HIGH RESOLUTION DIRECTION OF ARRIVAL ESTIMATION

提出一种高分辨方位估计新方法。它是建立在阵列输出信号和噪声参数联合后验概率密度基础上的空间谱估计。仿真结果表明，该方法具有以下几个显著的优点：①极高的空间分辨率和估计精度；②可解相干源；③低信噪比、少快拍数的情况下很有潜力；④可以估计不同方向目标源的能量；⑤具有较好的工程应用前景。该方法和ＭＵＳＩＣ方法的性能进行了比较并给出计算机仿真结果。

A novel method of direction finding estimation based on Bayesian theory is derived. It is established on the expected value of the theoretical spatial spectrum over the joint posterior density function of the array output signal and noise parameters. It possesses the following advantages. (a)Its resolution ability is much higher than that of the bearing estimators presented so far. (b)It can solve coherent sources. (c)It performs well in low SNR and short snapshots. (d)It provides the power of each source from spatial spectrum. Monte Carlo simulations have been done to verify the advantages of this method.