Radar signal extraction using correlation
Résumé
In this paper we present a post-integration processing in order to improve sensitivity of electronic support measure (ESM) receivers. Correlation methods take advantage of periodic character of radar signals. In such case, autocorrelation and cross-correlation improve detection of signals with high repetition frequency. Furthermore, since the extraction of radar parameters is necessary to identify received signals, we study three types of estimators : straightforward method, interpolation method and maximum likelihood one. Simulation studies with realistic models and real signals are carried out to validate performances of such processing. With a view to implanting correlation functions, some architectures are studied. The choice of a method is of interest since we need a lot of samples to be integrated. To conclude, as radar ESM receiver requires most information on received signals, enhancement of sensitivity thanks to correlation method is of great interest