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四阶统计量的近场源距离与到达角估计

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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2p+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2p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.
Range and DOA Estimation of Near Field Source via the Fourth-order Statistics
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(2p+1)-ele-ment ULA(uniformly linear array),the proposed methods can identify 2p or 2p-1 sources.Moreover,the computational burden of the methods much fewer than conventional one because they do not need any operation of parameters pairing.Simula-tion 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.

near field sourceDOA estimationrange estimationfourth-order statistic

林智慧、邓科

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西安思源学院,电子信息工程学院,陕西,西安 710038

西安交通大学,电子与信息学部,陕西,西安 710049

近场源 DOA估计 距离估计 四阶统计量

2024

微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
年,卷(期):2024.40(5)