一种机载雷达空时相邻多波束算法

doi:10.3969/j.issn.1001-2400.2011.01.021

Abstract

Abstract:

For the low system degrees of freedom of the Space-Time Multiple-Beam (STMB) approach and the general sidelobe canceller structure of the multistage Wiener filter (MWF), a dimension-reducing space-time adaptive processing (STAP) based on the STMB approach for the airborne radar is proposed. Firstly, to reduce the degrees of freedom of the clutter, the space-time received data are pre-filtered by using the STMB approach; secondly, the output data after preprocessing are processed by the MWF to optimize the weight vector, which can further reduce both computational complexity and sample support requirement. Theoretical analysis and computer simulation results illustrate that the method can achieve a robust performance without a large loss in the presence of large random amplitude and phase errors existing in the array elements. Experimental results by using the measured data demonstrate the effectiveness of the proposed method.

Key words: airborne radar, space-time adaptive processing, STMB

HE Jie;FENG Dazheng;Lü Hui;CAO Yang. Modified space-time multiple-beam approach for the airborne radar[J].J4, 2011, 38(1): 131-135.

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Modified space-time multiple-beam approach for the airborne radar

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