One-and two-stage tunable receivers
IEEE Transactions on Signal Processing
GLRT-based adaptive detection algorithms for range-spread targets
IEEE Transactions on Signal Processing
The CFAR adaptive subspace detector is a scale-invariant GLRT
IEEE Transactions on Signal Processing
Performance of the adaptive sidelobe blanker detection algorithm inhomogeneous environments
IEEE Transactions on Signal Processing
Performance of a class of adaptive detection algorithms innonhomogeneous environments
IEEE Transactions on Signal Processing
Rao Test for Adaptive Detection in Gaussian Interference With Unknown Covariance Matrix
IEEE Transactions on Signal Processing - Part II
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Theoretical Performance Analysis of the W-ABORT Detector
IEEE Transactions on Signal Processing
Radar Detection and Classification of Jamming Signals Belonging to a Cone Class
IEEE Transactions on Signal Processing
An ABORT-Like Detector With Improved Mismatched Signals Rejection Capabilities
IEEE Transactions on Signal Processing
Adaptive CFAR Radar Detection With Conic Rejection
IEEE Transactions on Signal Processing
An Improved Adaptive Sidelobe Blanker
IEEE Transactions on Signal Processing
A Subspace-Based Adaptive Sidelobe Blanker
IEEE Transactions on Signal Processing
Adaptive beamformer orthogonal rejection test
IEEE Transactions on Signal Processing
Hi-index | 0.00 |
We consider the problem of adaptive signal detection in the presence of Gaussian noise with unknown covariance matrix. We propose a parametric radar detector by introducing a design parameter to trade off the target sensitivity with sidelobes energy rejection. The resulting detector merges the statistics of Kelly's GLRT and of the Rao test and so covers Kelly's GLRT and the Rao test as special cases. Both invariance properties and constant false alarm rate (CFAR) behavior for this detector are studied. At the analysis stage, the performance of the new receiver is assessed and compared with several traditional adaptive detectors. The results highlight better rejection capabilities of this proposed detector for mismatched signals. Further, we develop two two-stage detectors, one of which consists of an adaptive matched filter (AMF) followed by the aforementioned detector, and the other is obtained by cascading a GLRT-based Subspace Detector (SD) and the proposed adaptive detector. We show that the former two-stage detector outperforms traditional two-stage detectors in terms of selectivity, and the latter yields more robustness.