Direction-of-arrival estimation in applications with multipath and few snapshots
Circuits, Systems, and Signal Processing
Multitarget identification and localization using bistatic MIMO radar systems
EURASIP Journal on Advances in Signal Processing
Target Detection and Localization Using MIMO Radars and Sonars
IEEE Transactions on Signal Processing
Uniformly Improving the CramÉr-Rao Bound and Maximum-Likelihood Estimation
IEEE Transactions on Signal Processing
On Probing Signal Design For MIMO Radar
IEEE Transactions on Signal Processing
Spatial diversity in radars-models and detection performance
IEEE Transactions on Signal Processing
Range Compression and Waveform Optimization for MIMO Radar: A CramÉr–Rao Bound Based Study
IEEE Transactions on Signal Processing
Waveform Synthesis for Diversity-Based Transmit Beampattern Design
IEEE Transactions on Signal Processing
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Parameter identifiability is one of the most interesting issues in multiple-input multiple-output (MIMO) radar systems. Previous works have presented conditions for parameter identifiability of the systems with uncorrelated waveforms. In this paper, under general waveform assumptions, we investigate conditions for parameter identifiability of MIMO radar systems with more flexible waveform diversity, where the transmitted waveforms are not restricted to be uncorrelated. The conditions specify the maximum number of targets that can be uniquely localized, which are obtained based on the rule of time-bandwidth product. Moreover, it is found that the conditions are in terms of the rank and structure of the waveform covariance matrix (WCM) and the geometry of MIMO radar systems. Numerical examples are provided to verify the effectiveness of the conditions.