Target estimation in bistatic MIMO radar via tensor completion

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• 作者：Long-Ting Huang^a ; ^{huanglt08@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; André ; L.F. de Almeida^b ; ^{andre@gtel.ufc.br" class="auth_mail" title="E-mail the corresponding author} ; H.C. So^a ; ^{hcso@ee.cityu.edu.hk" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Tensor completion ; Bistatic multiple-input multiple-output (MIMO) radar ; Parameter estimation ; Accelerated proximal gradient line-search (APGL) algorithm
• 刊名：Signal Processing
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：120
• 期：Complete
• 页码：654-659
• 全文大小：391 K

文摘

In this paper, the problem of target estimation in bistatic multiple-input multiple-output (MIMO) radar is tackled via low-rank tensor completion. Our solution consists in jointly computing the direction-of-departure and direction-of-arrival parameters of a sparse target scene, where only partial data are collected at the front-end during multiple pulse periods. By recasting the data model as a low-rank third-order tensor with missing entries, an accelerated proximal gradient line-search algorithm coupled with rank detection is devised to obtain an accurate rank estimate in a noisy environment with unknown number of targets. Computer simulation results demonstrate the effectiveness of the proposed method, which outperforms several state-of-the-art algorithms dealing with the same problem.