Target Detection of Seismic Sensor Array Using Higher-order Cumulant Matrix Correlation
In order to solve the problem of high false alarm rate and information waste in traditional decision detection methods,a target detection method based on high-order cumulant matrix correlation was proposed to eliminate noise effectively in far-field environment.By presetting a trigger threshold for sending data at the sensor nodes,the number of sensor nodes participating in fusion detection was constrained in advance,the fourth-order cumulant of the signal was calculated to construct the cumulant matrix after receiving the data sent by the nodes,and the correlation statistic was constructed as the decision statistic of the fusion detection.Based on the correlation between adjacent node signal cumulant matrix vectors,the detection threshold under constant false alarm probability(CFAR)was obtained,and the decision statistics were combined to judge whether the target exists and real-ize the fusion detection of the target.The simulation results show that the new method can detect the target effectively in differ-ent noise environments,and the detection performance is better than the existing detection methods.
万方数据
维普
