Title :
Robust waveform optimization for MIMO radar to improve the worst-case estimation performance
Author :
Wang, Hongyan ; Liao, Guisheng ; Li, Jun ; Tao, Haihong
Author_Institution :
Nat. Key Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
Abstract :
In this paper, we consider the robust waveform optimization to improve the worst-case performance of parameter estimation over a convex uncertainty model. An iterative algorithm is proposed to optimize the waveform covariance matrix (WCM) such that the worst-case performance can be improved. Each iteration step in the proposed algorithm can be reformulated as a semidefinite programming (SDP) problem. Numerical results show that the worst-case performance can be improved considerably by the proposed method compared to uncorrelated waveforms.
Keywords :
MIMO radar; covariance matrices; iterative methods; mathematical programming; parameter estimation; MIMO radar; convex uncertainty; iterative algorithm; parameter estimation; robust waveform optimization; semidefinite programming problem; waveform covariance matrix; worst-case estimation; worst-case performance; Estimation; MIMO radar; Numerical models; Optimization; Parameter estimation; Robustness; Uncertainty; MIMO radar; SDP; convex optimization; waveform optimization;
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4577-0893-0
DOI :
10.1109/ICSPCC.2011.6061757
