Journal on Communications ›› 2022, Vol. 43 ›› Issue (9): 112-120.doi: 10.11959/j.issn.1000-436x.2022175

• Papers • Previous Articles     Next Articles

Array amplitude-phase and mutual coupling error joint correction method based on sparse Bayesian

Ding WANG, Weigang GAO, Zhidong WU   

  1. Institute of Information System Engineering, Information Engineering University, Zhengzhou 450001, China
  • Revised:2022-08-22 Online:2022-09-25 Published:2022-09-01
  • Supported by:
    The National Natural Science Foundation of China(62171469);The National Natural Science Foundation of China(62071029)

Abstract:

In the actual array direction finding system, there are often a variety of errors such as amplitude and phase, mutual coupling, which lead to serious deterioration of array direction finding performance.In order to solve the problem of array direction finding misalignment in the presence of low signal-to-noise ratio, small snapshots and multiple errors, the spatial sparsity of signals were introduced, and Bayesian sparse reconstruction technology was used to solve the passive correction and joint estimation of array signal azimuth in the presence of amplitude-phase and mutual coupling errors.The over-complete model of the received signal with error was constructed, and the posterior probability density function of the received signal was obtained.The EM algorithm was used to iteratively optimize the probability density function to solve the corresponding parameters.At the same time, the CRLB of array error and signal azimuth was derived, and by experimental simulation verifies the effectiveness of the proposed method.

Key words: amplitude-phase error, mutual coupling error, sparse reconstruction, DOA estimation

CLC Number: 

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