基于平均共识的分布式子阵间幅相误差校正算法

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中图分类号：TN911.23 文献标志码：A DOI：10.12305/j.issn.1001-506X. 2025.07.01

Abstract： With the advantages of low communication cost， high system stability，and minimal arithmetic requirement，the distributed processing framework is widely developed in the field of array signal processing. However，the traditional eror calibration method areno longer applicable because of lacking of the fusion center （FC）.Thus，an active calibration algorithm and a self-calibration algorithm are proposed for calibrating the inter-subarray gain and phase errors in this framework，respectively. Firstly，based on average consensus theory，the active calibration is achieved by using covariance matrixes of the subarray nodes and conjugate gradient （CG） algorithm. Secondly，the direction of arrival estimation （DOA）can be obtained by utilizing the Hadamard product of receiving data，which makes the self-calibration achieved for inter-subarray gain and phase errors in distributed structure.The simulation results demonstrate that the distributed calibration for gain and phase error can be achieved efectively bythe proposed algorithm and its performanceis independent of the intersubarray gain and phase error.

Keywords：distributed calibration;gain and phase error;average consensus；direction-of arrival （DOA） estimation

0 引言

辐射源的DOA，进而为辐射源的搜索、识别、跟踪等处理提供依据，被广泛应用于军事和民用领域[1]。（剩余14537字）