MIMO radar waveform design via alternating projection

Authors:
Yang Yang;Rick S. Blum;Zishu He;Daniel R. Fuhrmann
Affiliations:
Department of Electrical and Computer Engineering, Lehigh University, Bethlehem, PA;Department of Electrical and Computer Engineering, Lehigh University, Bethlehem, PA;School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China;Department of Electrical and Computer Engineering, Michigan Technological University, Houghton, MI
Venue:
IEEE Transactions on Signal Processing
Year:
2010

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Abstract

Waveform design is essential to unleash the performance advantages promised by multiple-input multiple-output (MIMO) radar, and this topic has attracted a lot of attention in the recent years. Revisiting an earlier examined MIMO radar waveform design problem that optimizes both minimum mean-square error estimation (MMSE) and mutual information (MI), in this correspondence we formulate a new waveform design problem and provide some further results, which complement the previous study. More specifically, we present an iterative optimization algorithm based on the alternating projection method to determine waveform solutions that can simultaneously satisfy a structure constraint and optimize the design criteria. Numerical examples are provided, which illustrate the effectiveness of the proposed approach. In particular, we find that the waveform solutions obtained through our proposed algorithm can achieve very close and virtually indistinguishable performance from that predicted in the previous study.