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
A rao test with enhanced selectivity properties in homogeneous scenarios
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
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In this paper, we present a GLRT-based adaptive detection algorithm for extended targets with improved rejection capabilities of mismatched signals. We assume that a set of secondary data is available and that noise returns in primary and secondary data share the same statistical characterization. To increase the selectivity of the detector, similarly to the ABORT formulation, we modify the hypothesis testing problem at hand introducing fictitious signals under the null hypothesis. Such unwanted signals are supposed to be orthogonal to the nominal steering vector in the whitened observation space. The performance assessment, carried out by Monte Carlo simulation, shows that the proposed dectector ensures better rejection capabilities of mismatched signals than existing ones, at the price of a certain loss in terms of detection of matched signals.