Title :
Robust waveform design for MIMO radars
Author :
Grossi, Emanuele ; Lops, Marco ; Venturino, Luca ; Tulino, Antonia M.
Author_Institution :
DAEIMI, Univ. degli Studi di Cassino, Cassino, Italy
Abstract :
The problem of robust waveform design for multiple-input, multiple-output radars equipped with widely-spaced antennas is addressed here. Robust design is needed as a number of parameters are unknown, e.g., the target scattering covariance matrix and, possibly, the clutter covariance matrix. A min-max approach is proposed, so that the code matrix is designed to minimize the worst-case cost (or equivalently maximize the corresponding figure of merit) under all possible target (or target and clutter) covariance matrices. Surprisingly, the same min-max solution applies to many commonly adopted performance measures, such as the average signal-to-clutter-plus-noise ratio, the mutual information between the received signal echoes and the unknown target response, and the approximation of the detection probability in the high- and low-signal regimes.
Keywords :
MIMO radar; S-matrix theory; antenna arrays; covariance matrices; minimax techniques; probability; radar antennas; MIMO radars; antennas; average signal-to-clutter-plus-noise ratio; clutter covariance matrix; code matrix; detection probability approximation; min-max approach; multiple-input multiple-output radars; robust waveform design; target scattering covariance matrix; Clutter; Covariance matrix; MIMO; Mutual information; Radar antennas; Radar cross section; Radar detection; Radar scattering; Receiving antennas; Robustness;
Conference_Titel :
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-7890-3
Electronic_ISBN :
978-1-4244-7891-0
DOI :
10.1109/ISIT.2010.5513352