Off-grid direction-of-arrival estimation for wideband noncircular sources

Xiaoyu Zhang, Haihong Tao, Ziye Fang, Jian Xie

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)492-504
Number of pages13
JournalETRI Journal
Volume45
Issue number3
DOIs
StatePublished - Jun 2023

Keywords

  • array signal processing
  • direction-of-arrival estimation
  • off-grid
  • wideband noncircular signal

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