刊名:EURASIP Journal on Advances in Signal Processing
出版年:2017
出版时间:December 2017
年:2017
卷:2017
期:1
全文大小:927KB
刊物主题:Signal,Image and Speech Processing; Quantum Information Technology, Spintronics;
出版者:Springer International Publishing
ISSN:1687-6180
卷排序:2017
文摘
This paper considers the robust waveform design of multiple-input multiple-output (MIMO) radar to enhance targets detection in the presence of signal-dependent interferences assuming the knowledge of steering vectors is imprecise. Specifically, resorting to semidefinite programming (SDP)-related technique, we first maximize the worst-case signal-to-interference-plus-noise ratio (SINR) over uncertain region to optimize waveform covariance matrix forcing a uniform elemental power requirement. Then, based on least square (LS) approach, we devise the waveform accounting for constant modulus and similarity constraints by the obtained waveform covariance matrix using cyclic algorithm (CA). Finally, we assess the effectiveness of the proposed technique through numerical simulations in terms of non-uniform point-like clutter and uniform clutter.
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