Waveform Correlation and Optimization Issues for MIMO Radar

By Keith W. Forsythe, D. W. Bliss. Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005., 2005

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On Probing Signal Design For MIMO Radar (2006, background): “…probing signal vector transmitted by a MIMO radar system can be designed to approximate a desired transmit beampattern and also to minimize the cross-correlation of the signals bounced from various targets of interest—an operation that, once again, would be hardly possible for a phased-array radar.”
MIMO Radar Space–Time Adaptive Processing Using Prolate Spheroidal Wave Functions (2008, background): “RECENTLY, the concept of multiple-input multiple-output (MIMO) radars has drawn considerable attention [1]–[13].”
Target Localization Accuracy Gain in MIMO Radar-Based Systems (2008, methodology): “MIMO radar with col ocated antennas makes use of waveform diversity [2], [4], [12], [14], [15], while MIMO radar with distributed ant enna takes advantage of the spatial diversity supported by”
Range Compression and Waveform Optimization for MIMO Radar: A CramÉr–Rao Bound Based Study (2007, methodology): “Next, we first present several waveform optimization criteria and their numerical solutions, and then derive a structure of the optimal waveform covariance matrix and two closed-form optimal solutions for the single-target case.”
MIMO Radar with Colocated Antennas (2007, background): “, [7], [15]–[17]) as well as for MIMO radar imaging and parameter estimation [10], [20], [21].”