Fast communication: Tri-iterative least-square method for bearing estimation in MIMO radar

  • Authors:

  • Hui Lv;Da-Zheng Feng;Hong-Wei Liu;Jie He;Cong Xiang

  • Affiliations:

  • National Laboratory of Radar Signal Processing, Xidian University, 710071 Xi'an, China;National Laboratory of Radar Signal Processing, Xidian University, 710071 Xi'an, China;National Laboratory of Radar Signal Processing, Xidian University, 710071 Xi'an, China;National Laboratory of Radar Signal Processing, Xidian University, 710071 Xi'an, China;National Laboratory of Radar Signal Processing, Xidian University, 710071 Xi'an, China

  • Venue:
  • Signal Processing
  • Year:
  • 2009

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Abstract

In this paper, we introduce a novel tri-iterative least-square (TI-LS) method for bearing estimation in multiple-input multiple-output (MIMO) radar system. The TI-LS iteratively finds two steering matrices associated with the transmit and receive arrays, and the target's bearing can be easily obtained based on prior knowledge of the transmit and receive array manifolds. Furthermore, by jointly using the information from the transmit and receive array responses, angular estimation accuracy can be significantly improved. Numerical examples are presented to illustrate the excellent angular estimation accuracy and computational efficiency of this new method.