Title :
Robust Waveform Design for MIMO Radars
Author :
Grossi, Emanuele ; Lops, Marco ; Venturino, Luca
Author_Institution :
DAEIMI, Univ. degli Studi di Cassino, Cassino, Italy
fDate :
7/1/2011 12:00:00 AM
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 may be unknown, e.g., the target scattering covariance matrix and the disturbance covariance matrix. Following a min-max approach, the code matrix is designed to minimize the worst-case cost over all possible target (or target and disturbance) covariance matrices. The same min-max solution applies to many commonly adopted performance measures, such as the average signal-to-disturbance ratio, the linear minimum mean square error in estimating the target response, the mutual information between the received signal echoes and the target response, and the approximation of the detection probability in the high- and low-signal regimes for a fixed probability of false alarm. Examples illustrating the behavior of the min-max codes are provided.
Keywords :
MIMO radar; approximation theory; codes; covariance matrices; echo; least mean squares methods; minimax techniques; object detection; probability; radar antennas; radar detection; waveform analysis; MIMO radar; code matrix; detection probability approximation; disturbance covariance matrix; false alarm probability; linear minimum mean square error method; min-max approach; multiple-input multiple-output radar; received signal echo; robust waveform design; target response estimation; target scattering covariance matrix; widely spaced antenna; Correlation; Cost function; Covariance matrix; MIMO radar; Receiving antennas; Robustness; Scattering; Chernoff´s bound; MIMO radar; linear minimum mean square error; min-max; minimax; mutual information; robust waveform design;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2011.2131138