双基地MIMO雷达波形解相关算法

doi:10.3969/j.issn.1001-2400.2014.02.006

Abstract

Abstract:

The auto-correlation and cross-correlation properties of transmit waveforms have great effects on the performance of MIMO radar systems. However, it is difficult to design waveforms that have ideal auto-correlation properties as well as cross-correlation ones. In this paper, an MMSE based waveform de-correlation algorithm is proposed to cancel the effects of the auto-correlation and cross-correlation of transmit waveforms in the receiver. The received signal model of bistatic MIMO radars is first derived. Then, the de-correlation filters are derived by using the MMSE method to reduce the influences of colored noise enhancement. Finally, the polynomial expansion method is used to simplify the computational complexity of the proposed de-correlation filters. The performance of the proposed method is verified by applying it to bistatic MIMO radar multi-target localization. Simulation results demonstrate the effectiveness of the proposed algorithm.

Key words: bistatic radar, multiple-input multiple-output, waveform correlation, minimum mean square error

DANG Bo;LIAO Guisheng;LI Jun. Waveform de-correlation method in bistatic MIMO radars[J].J4, 2014, 41(2): 32-36+78.

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Waveform de-correlation method in bistatic MIMO radars

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