基于联合子带ANM的小快拍宽带DOA估计方法

Juan Shi, Qunfei Zhang, Linlin Mao, Wentao Shi

科研成果: 期刊稿件文章同行评审

摘要

In the detective and estimation passive system, the traditional direction-of-arrival (DOA) estimation methods cannot work directly with deficient snapshots. To solve this problem, an improved wide band DOA estimation approach is developed by applying the atomic norm minimization (ANM) technique to the joint sub-band data. First, every sub-band data of the whole bandwidth focuses on the reference frequency band to obtain the new sub-band data. Next, the new data matrix is reconstructed by the joint sub-band data after rotation. Then, an optimal Toeplitz matrix is obtained from ANM in the form of semi-definite programming. The accurate signal subspace can be acquired by performing eigenvalue decomposition of the retrieval Toeplitz matrix, which avails to DOA estimation. Simulation results show that the proposed wide band DOA estimation method exhibits better performance in the case of deficient snapshots and can estimate coherent source targets.

投稿的翻译标题Wideband DOA estimation with deficient snapshots via joint sub-band atomic norm minimization
源语言繁体中文
页(从-至)733-739
页数7
期刊Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
42
4
DOI
出版状态已出版 - 1 4月 2020

关键词

  • Atomic norm minimization (ANM)
  • Direction-of-arrival (DOA) estimation
  • Joint sub-band
  • Toeplitz matrix
  • Wide band signal

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