Adaptive MIMO Radar for Target Detection, Estimation, and Tracking

Abstract

OF THE THESIS Adaptive MIMO Radar for Target Detection, Estimation, and Tracking by Sandeep Gogineni Doctor of Philosophy in Electrical Engineering Washington University in St. Louis, 2012 Research Advisor: Dr. Arye Nehorai We develop and analyze signal processing algorithms to detect, estimate, and track targets using multiple-input multiple-output (MIMO) radar systems. MIMO radar systems have attracted much attention in the recent past due to the additional degrees of freedom they offer. They are commonly used in two different antenna configurations: widely-separated (distributed) and colocated. Distributed MIMO radar exploits spatial diversity by utilizing multiple uncorrelated looks at the target. Colocated MIMO radar systems offer performance improvement by exploiting waveform diversity. Each antenna has the freedom to transmit a waveform that is different from the waveforms of the other transmitters. First, we propose a radar system that combines the advantages of distributed MIMO radar and fully polarimetric radar. We develop the signal model for this system and analyze the performance of the optimal Neyman-Pearson detector by obtaining approximate expressions for the probabilities of detection and false alarm. Using these