A unified approach to adaptive radar processing with general antenna array configuration
Signal Processing - Special section: New trends and findings in antenna array processing for radar
Adaptive subspace detection of range-distributed target in compound-Gaussian clutter
Digital Signal Processing
CFAR detection strategies for distributed targets under conic constraints
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Blind user detection and delay acquisition in doubly-dispersive DS/CDMA fading channels
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Blind user detection in doubly dispersive DS/CDMA fading channels
IEEE Transactions on Signal Processing
Multipath delay acquisition in asynchronous doubly-selective DS/CDMA fading channels
IEEE Communications Letters
Digital Signal Processing
| Hi-index | 35.69 |
A modified generalized likelihood ratio test (MGLRT) for the adaptive detection of a target or targets that are distributed in range is derived. The unknown parameters associated with the hypothesis test are the complex amplitudes in range of the desired target and the unknown covariance matrix of the additive interference, which is assumed to be characterized as complex zero-mean correlated Gaussian random variables. The target's or targets' complex amplitudes are assumed to be distributed across the entire input data block (sensor×range). Results on probabilities of false alarm and detection are derived, and a bounded constant false alarm rate (CFAR) detector is developed. Simulation results are presented. It is shown that the derived MGLRT of range distributed targets is much more effective in detecting targets distributed in range than an M out of K detector, which is cascaded with a single-point target Kelly (1986) detector