Research on the signal separation method based on multi-sensor cross-correlation fusion algorithm
Junlong Zhang, Lijun Cao, Zhixiao Zhang, Jian Xu · 2017
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.