J4 ›› 2011, Vol. 38 ›› Issue (2): 88-92.doi: 10.3969/j.issn.1001-2400.2011.02.016

• Original Articles • Previous Articles     Next Articles

Localized reduced-dimension clutter suppression method for the airborne MIMO radar

Lü Hui;FENG Dazheng;HE Jie;XIANG Cong   

  1. (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China)
  • Received:2010-03-30 Revised:2010-05-13 Online:2011-04-20 Published:2011-05-26
  • Contact: Lü Hui E-mail:hlv@mail.xidian.edu.cn

Abstract:

This paper presents a new reduced-dimension space-time adaptive processing (STAP) method for clutter suppression in the airborne MIMO radar. The received data in the element-pulse domain is firstly transformed to the angle-Doppler domain using the two-dimensional spatial beamforming and temporal Doppler filtering. Then, the partially adaptive processing is performed in a group of three-dimensional beams around the angle-Doppler bin of interest based on the linearly constrained minimum variance (LCMV) criteria. Simulation results demonstrate that the proposed method can significantly reduce the computational load and training requirements, and provide a better performance than the existing classic reduced-dimension STAP methods.

Key words: multiple input multiple output radar, airborne radar, space-time adaptive processing, dimension reduction


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