Elements of information theory
Elements of information theory
On MIMO detection under non-gaussian target scattering
IEEE Transactions on Information Theory
Diversity-Integration Tradeoffs in MIMO Detection
IEEE Transactions on Signal Processing - Part II
Spatial diversity in radars-models and detection performance
IEEE Transactions on Signal Processing
Optimum power allocation for parallel Gaussian channels with arbitrary input distributions
IEEE Transactions on Information Theory
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We consider a multiple-input multiple-output (MIMO) detection problem with widely-spaced antennas at both the transmitter and the receiver, and we assume that target scattering is modeled as an exchangeable and unitarily-invariant process. We illustrate optimal signal design (i.e., space-time coding) at the transmitter for two criteria, i.e, the lower Chernoff bound (LCB) to the detection probability for fixed probability of false alarm and the mutual information (MI) between the observations and the target scattering matrix, under a semidefinite rank constraint and a transmit power constraint, showing that the Gaussian scattering assumption is robust. A by-product, of not secondary importance, of our derivation is the proof of a number of new properties concerning concavity and Schurconcavity of MI and LCB.