期刊
IET SIGNAL PROCESSING
卷 10, 期 8, 页码 873-879出版社
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-spr.2015.0535
关键词
radar signal processing; array signal processing; MIMO radar; smoothing methods; electromagnetic wave polarisation; radio direction-finding; matched filters; covariance matrices; polarisation smoothing algorithm; coherent source direction finding; multiple-input-and-multiple-output electromagnetic vector sensor array; coherent source angle estimation problem; MIMO radar; matched filtering; virtual MIMO array; subarrays covariance matrices; weighted smoothing; polarisation smoothing covariance matrix; rank loss
资金
- National Natural Science Foundation of China [61501504]
- China Postdoctoral Science Foundation [2015M581097]
This study proposes a new polarisation smoothing algorithm with multiple-input and multiple-output (MIMO) electromagnetic vector sensor array to address the problem of coherent source angle estimation in MIMO radar. This algorithm can be summarised as follows: (i) matched filtering for echoes is performed to get virtual MIMO array; (ii) the virtual array is divided into six spatially identical subarrays according to polarisation information offered by electromagnetic vector sensor; and (iii) the six subarrays covariance matrices are processed with weighted smoothing to obtain polarisation smoothing covariance matrix, which can restore the rank loss of the covariance matrix of coherent sources. When compared with spatial smoothing, the proposed algorithm is suitable for spatially arbitrary array configuration, without the price of reducing effective array aperture. Simulation results show that the proposed algorithm substantially outperforms the spatial smoothing algorithm.
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