Processing of signals from land-based radio emission sources in a monostatic air-borne monitoring system

Resumo

The problem of processing of signals from fixed land-based radio emission sources (RESs) measured in a monostatic air-borne radio monitoring system is considered. On the basis of the Bayesian approach, an optimal joint procedure for RES identification from radio measurements, estimation of RES state coordinates, and RES type recognition is developed. Relationships obtained in the synthesis of the joint procedure are analyzed. The results of application of the joint procedure are compared with the results obtained by independently synthesized algorithms for RES identification, estimation of RES state coordinates, and RES type recognition.