Phased-MIMO radar: a tradeoff between phased-array and MIMO radars
IEEE Transactions on Signal Processing
Sensor scheduling with waveform design for dynamic target tracking using MIMO radar
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Exploiting correlation in target detection using MIMO radar with angular diversity
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Reducing the waveform cross correlation of MIMO radar with space: time coding
IEEE Transactions on Signal Processing
Noncoherent MIMO radar for location and velocity estimation: more antennas means better performance
IEEE Transactions on Signal Processing
MIMO radar waveform design in colored noise based on information theory
IEEE Transactions on Signal Processing
MIMO radar detection and adaptive design under a phase synchronization mismatch
IEEE Transactions on Signal Processing
Direct positioning of stationary targets using MIMO radar
Signal Processing
Maximum likelihood estimation of DOD and DOA for bistatic MIMO radar
Signal Processing
Hi-index | 35.70 |
It has been recently shown that multiple-input multiple-output (MIMO) antenna systems have the potential to dramatically improve the performance of communication systems over single antenna systems. Unlike beamforming, which presumes a high correlation between signals either transmitted or received by an array, the MIMO concept exploits the independence between signals at the array elements. In conventional radar, the target's radar cross section (RCS) fluctuations are regarded as a nuisance parameter that degrades radar performance. The novelty of MIMO radar is that it provides measures to overcome those degradations or even utilizes the RCS fluctuations for new applications. This paper explores how transmit diversity can improve the direction finding performance of a radar utilizing an antenna array at the receiver. To harness diversity, the transmit antennas have to be widely separated, while for direction finding, the receive antennas have to be closely spaced. The analysis is carried out by evaluating several Cramer-Rao bounds for bearing estimation and the mean square error of the maximum likelihood estimate