Research on the signal separation method based on multi-sensor cross-correlation fusion algorithm

In the aspect of weak signal detection, the single sensor has the limitation to detect the weak signal and carry out the cross correlation operation. Therefore, the paper proposes a multi-sensor cross-correlation fusion algorithm. The same measured point is detected using a plurality of identical sensors and the detected signal is processed using the cross-correlation fusion algorithm. Through theoretical analysis and computer simulation, it is shown that a multi-sensor-based, cross-correlation fusion algorithm for dealing with weak signals can significantly improve the signal-to-noise ratio (SNR) and data processing speed of the weak signal. Moreover, the improvement of the output SNR is related to the number of sensors.