On the relationship between MIMO and SIMO radars
IEEE Transactions on Signal Processing
Target Detection and Localization Using MIMO Radars and Sonars
IEEE Transactions on Signal Processing
Diversity-Integration Tradeoffs in MIMO Detection
IEEE Transactions on Signal Processing - Part II
On Probing Signal Design For MIMO Radar
IEEE Transactions on Signal Processing
Signal Synthesis and Receiver Design for MIMO Radar Imaging
IEEE Transactions on Signal Processing - Part II
Spatial diversity in radars-models and detection performance
IEEE Transactions on Signal Processing
Polyphase code design for Orthogonal Netted Radar systems
IEEE Transactions on Signal Processing
Range Compression and Waveform Optimization for MIMO Radar: A CramÉr–Rao Bound Based Study
IEEE Transactions on Signal Processing
Evaluation of Transmit Diversity in MIMO-Radar Direction Finding
IEEE Transactions on Signal Processing
Space-time block codes from orthogonal designs
IEEE Transactions on Information Theory
A Simple Signal Processing Architecture for Instantaneous Radar Polarimetry
IEEE Transactions on Information Theory
Doppler Resilient Golay Complementary Waveforms
IEEE Transactions on Information Theory
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
Hi-index | 35.68 |
Multiple-input-multiple-output (MIMO) radar is attractive for target detection, parameter identification, and target classification due to diversity of waveform and perspective. However, the mutual interference among the waveforms may lead to performance degradation in resolving spatially close returns. In this paper, we consider the use of space-time coding (STC) to mitigate the waveform cross-correlation effects in MIMO radar. First, it turns out that a joint waveform optimization problem can be decoupled into a set of individual waveform design problems. Second, a number of monostatic waveforms can be directly used in a MIMO radar system, which offers flexibility in waveform selection. We provide conditions for the elimination of waveform cross correlation, and discuss four kinds of space time codes. In addition, we also extend the model to partial waveform cross-correlation removal based on waveform set division. Numerical results demonstrate the effectiveness of STC in MIMO radar for waveform decorrelation.