四阶统计量的近场源距离与到达角估计

Range and DOA Estimation of Near Field Source via the Fourth-order Statistics

针对近场源的到达角和距离的联合参数估计问题,提出了2种基于四阶统计量的新算法。对于一个有2 p+1个阵元的均匀线性阵列(ULA)而言,目前已有方法只能分辨出p个信源,文中提出的两种方法能够估计出2 p或2p-1个入射信源的参数。此外,与传统的四阶统计量方法相比,新方法不需要参数配对操作,因此可以去除这部分计算量。仿真结果表明,基于ESPRIT的2种算法有效地利用了接收信号信息,相比于已提出的方法具有更好的性能。

By exploiting the fourth-order statistics,two novel algorithms are proposed for DOA and range estimation of the near-field narrow-band sources.Compared with most proposed methods which can identify only p sources with a(2 p+1)-element ULA(uniformly linear array),the proposed methods can identify 2 p or 2 p-1 sources.Moreover,the computational burden of the methods much fewer than conventional one because they do not need any operation of parameters pairing.Simulation results show that the two ESPRIT-based methods can provide improved performance over several existing methods because of more efficient use of the information of received signals.