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Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Off-grid direction-of-arrival estimation for wideband noncircular sources

  • Xiaoyu Zhang (National Laboratory of Radar Signal Processing, Xidian University) ;
  • Haihong Tao (National Laboratory of Radar Signal Processing, Xidian University) ;
  • Ziye, Fang (School of Computer Science and Technology, Xidian University) ;
  • Jian Xie (School of Electronics and Information, Northwestern Polytechnical University)
  • Received : 2022.01.10
  • Accepted : 2022.06.07
  • Published : 2023.06.20
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Abstract

Researchers have recently shown an increased interest in estimating the direction-of-arrival (DOA) of wideband noncircular sources, but existing studies have been restricted to subspace-based methods. An off-grid sparse recovery-based algorithm is proposed in this paper to improve the accuracy of existing algorithms in low signal-to-noise ratio situations. The covariance and pseudo covariance matrices can be jointly represented subject to block sparsity constraints by taking advantage of the joint sparsity between signal components and bias. Furthermore, the estimation problem is transformed into a single measurement vector problem utilizing the focused operation, resulting in a significant reduction in computational complexity. The proposed algorithm's error threshold and the Cramer-Rao bound for wideband noncircular DOA estimation are deduced in detail. The proposed algorithm's effectiveness and feasibility are demonstrated by simulation results.

Keywords

Acknowledgement

This research was funded in part by the Innovation Project of Science and Technology Commission of the Central Military Commission under Grant 19-HXXX-01-ZD-006-XXX-XX, in part by the National Key Laboratory Foundation under Grant 61424110302 and in part by the National Natural Science Foundation of China under Grant 61771015.

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