MIMO radar waveform optimization with prior information of the extended target and clutter
IEEE Transactions on Signal Processing
EURASIP Journal on Advances in Signal Processing
Designing unimodular sequence sets with good correlations: including an application to MIMO radar
IEEE Transactions on Signal Processing
Clutter rank of STAP in MIMO radar with waveform diversity
IEEE Transactions on Signal Processing
MIMO radar waveform design via alternating projection
IEEE Transactions on Signal Processing
A review on spectrum sensing for cognitive radio: challenges and solutions
EURASIP Journal on Advances in Signal Processing - Special issue on advanced signal processing for cognitive radio networks
Phased-MIMO radar: a tradeoff between phased-array and MIMO radars
IEEE Transactions on Signal Processing
Reducing the waveform cross correlation of MIMO radar with space: time coding
IEEE Transactions on Signal Processing
MIMO radar waveform design in colored noise based on information theory
IEEE Transactions on Signal Processing
Adaptive waveform design for separated transmit/receive ULA-MIMO radar
IEEE Transactions on Signal Processing
On parameter identifiability of MIMO radar with waveform diversity
Signal Processing
Direct positioning of stationary targets using MIMO radar
Signal Processing
A modified MIMO radar model based on robustness and gain analysis
WSEAS Transactions on Signal Processing
Distributed target detection with polarimetric MIMO radar in compound-Gaussian clutter
Digital Signal Processing
Maximum likelihood estimation of DOD and DOA for bistatic MIMO radar
Signal Processing
Hi-index | 35.71 |
A multiple-input multiple-output (MIMO) radar system, unlike a standard phased-array radar, can choose freely the probing signals transmitted via its antennas to maximize the power around the locations of the targets of interest, or more generally to approximate a given transmit beampattern, and also to minimize the cross-correlation of the signals reflected back to the radar by the targets of interest. In this paper, we show how the above desirable features can be achieved by designing the covariance matrix of the probing signal vector transmitted by the radar. Moreover, in a numerical study, we show that the proper choice of the probing signals can significantly improve the performance of adaptive MIMO radar techniques. Additionally, we demonstrate the advantages of several MIMO transmit beampattern designs, including a beampattern matching design and a minimum sidelobe beampattern design, over their phased-array counterparts.