起伏背景噪声下地震波传感器阵列目标检测算法研究

A Target Detection Method of Seismic Wave Sensor Array under Fluctuating Background Noise

针对起伏背景噪声下传统地震波传感器阵列检测算法虚警概率高、检测概率低的问题,提出一种基于信号相关性的阵列目标检测算法.利用传感器阵列在一个检测周期内接收到的数据建立信号检测矩阵,由检测矩阵列向量之间的相关性标记信号中目标成分的大小,进而引入相关性参数并构建检测统计量,利用信号相关消除时变的环境噪声干扰,有效克服起伏噪声对目标检测结果的影响.推导算法虚警概率与检测门限之间的定量关系,得到一定虚警率下的检测概率.基于计算机仿真和舰船目标实测试验对比本文提出算法与现有方法,结果表明本文算法可以在起伏背景噪声下有效检测出目标,且检测性能优于现有检测算法.

To address the issue of high false alarm probability and low detection probability in traditional seismic wave sensor array detection algorithms under fluctuating background noise,a target detection algorithm on array signal correlation is proposed.The algorithm utilizes the data received by the sensor array within a detection cycle to establish a signal detection matrix.The correlation between detection matrix column vectors marked the magnitude of the target components in received signal.Furthermore,correlation parameters are introduced to construct a detection statistic,effectively eliminating the time-varying environmental noise interference through signal correlation and overcoming the impact of fluctuating noise on target detection results.The quantitative relationship between algorithm false alarm probability and detection threshold is derived,obtaining the detection probability under a certain false alarm rate.The proposed algorithm is compared with the existing methods based on computer simulation and actual ship target experiments respectively.The results show that the proposed algorithm can detect the target effectively under fluctuating background noise and the performance is better than the existing algorithms.