Title :
Kullback-Leibler divergence region in MIMO radar detection problems
Author :
Grossi, Emanuele ; Lops, Marco
Author_Institution :
DIEI, Univ. degli Studi di Cassino e del Lazio Meridionale, Cassino, Italy
Abstract :
One of the most relevant performance measures in detection problems is the pair of Kullback-Leibler divergences between the densities of the observations under the two hypotheses. In this work, the problem of space-time code design for a multiple-input, multiple-output detection systems is addressed, and the set of achievable divergence pairs is characterized when different constraints are imposed on the code matrix. Knowledge of this region permits to achieve the desired performance level in the detection system (e.g., the time for taking a decision in a sequential probability ratio test or the probability of miss in a likelihood ratio test) and, if a cost function is assigned, to carry out optimal waveform design.
Keywords :
MIMO radar; matrix algebra; probability; radar detection; Kullback-Leibler divergence region; MIMO radar detection problem; code matrix; multiple-input detection system; multiple-output detection system; optimal waveform design; probability; sequential probability ratio test; space-time code design; Cost function; Eigenvalues and eigenfunctions; Encoding; Level set; MIMO; Receiving antennas; Signal to noise ratio;
Conference_Titel :
Information Fusion (FUSION), 2012 15th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4673-0417-7
Electronic_ISBN :
978-0-9824438-4-2