Space-time joint processing using double-arrays for radiated noise measurement

Space-time joint processing using double-arrays for radiated noise measurement is investigated in this paper. Based on the theory of stochastic array measurement, double-arrays space-time associated model is established using statistical characteristic discrepancy between target signal and ocean environment noise. Taking one of the elements as reference, signal power was enhanced by packet processing through projecting other elements to the referential element. The validity of the model is tested and verified by comparing theoretical calculation emulation and experiment results. It is shown that the proposed method can improve the system's process gain. It also bears well space selectivity, which has good tolerance for fail sensors and does not rely on array structure.