CFAR detection strategies for distributed targets under conic constraints
IEEE Transactions on Signal Processing
One-and two-stage tunable receivers
IEEE Transactions on Signal Processing
One-and two-stage tunable receivers
IEEE Transactions on Signal Processing
Adaptive detection and estimation in the presence of useful signal and interference mismatches
IEEE Transactions on Signal Processing
Adaptive detection in Gaussian interference with unknown covariance after reduction by invariance
IEEE Transactions on Signal Processing
Detection algorithms to discriminate between radar targets and ECM signals
IEEE Transactions on Signal Processing
Parametric adaptive radar detector with enhanced mismatched signals rejection capabilities
EURASIP Journal on Advances in Signal Processing
Fast communication: Performance analysis of a two-stage Rao detector
Signal Processing
| Hi-index | 35.70 |
The adaptive sidelobe blanker (ASB) algorithm is a two-stage detector consisting of a first stage adaptive matched filter (AMF) detector followed by a second-stage detector called the adaptive coherence (or cosine) estimator (ACE). Only those data test cells that survive both detection thresholdings are declared signal (target) bearing. We provide exact novel closed-form expressions for the resulting probability of detection (PD) and false alarm (PFA) for the ASB algorithm and demonstrate that under homogeneous data conditions with no signal array response mismatch that (i) the ASB is a constant false alarm rate (CFAR) algorithm, (ii) the ASB has a higher or commensurate PD for a given PFA than both the AMF and the ACE, and (iii) the ASB has an overall performance that is commensurate with Kelly's (1986) benchmark generalized likelihood ratio test (GLRT). A compact statistical summary is derived providing distributions and dependencies among the GLRT, AMF, and the ACE decision statistics