Matrix analysis
Target Detection and Localization Using MIMO Radars and Sonars
IEEE Transactions on Signal Processing
On Clutter Rank Observed by Arbitrary Arrays
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
MIMO Radar Space–Time Adaptive Processing Using Prolate Spheroidal Wave Functions
IEEE Transactions on Signal Processing
Range Compression and Waveform Optimization for MIMO Radar: A CramÉr–Rao Bound Based Study
IEEE Transactions on Signal Processing
| Hi-index | 35.69 |
In recent years, multiple-input multiple-output (MIMO) radar systems with space-time adaptive processing (STAP) have been proposed to improve radar performance. For MIMO radars with STAP, one big concern is the clutter rank. Current studies employ the rule of time-bandwidth product to predict the clutter rank of MIMO radars using orthogonal waveforms. This paper investigates clutter rank estimation for MIMO radar systems with more flexible waveform diversity, where waveforms are not constrained to be orthogonal. Under general waveform assumption, we have derived the clutter covariance matrix as a function of waveform covariance matrix (WCM). The clutter rank is then found to be determined by the rank and structure of the WCM. For different waveform cases, the WCM may be either full rank or rank deficient. Rules for estimation of clutter rank in these cases are provided and demonstrated by numerical simulations.