SYSTEM AND METHODS FOR MULTISTEP TARGET DETECTION AND PARAMETER ESTIMATION

摘要

A system and methods for multistep target detection and parameter estimation which utilizes slices and/or projections of the cross-ambiguity function of the transmitted and received signals of a sensor system is disclosed. The system and methods of the present invention offer a computationally efficient means of detecting targets while achieving a high probability of detection and a reduced false alarm rate. Detection and parameter estimation of targets is accomplished by generating hypotheses and then validating the generated hypotheses. The hypotheses are generated using slices and/or projections of cross-ambiguity functions of transmitted signals and reflections received from the targets without the need to compute the entire cross-ambiguity function. After hypotheses are generated they are validated by determining the amplitude of a cross-ambiguity function at the coordinates of the hypotheses and comparing the amplitude to a predetermined threshold.