CAJ | 학술논문

针对现有振动传感器能量检测方法在较低信噪比及环境噪声变化较大时检测性能较差问题，提出矢量传感器协方差检测方法。该方法利用矢量传感器多通道采样数据构造协方差矩阵，并以最大特征值与最小特征值之比为检验统计量进行目标判决。用该方法检测目标不仅无需噪声先验知识，可有效克服噪声起伏变化带来的影响。仿真及实验表明，该方法检测性能良好，计算复杂度小，适合于矢量传感器对目标检测预警。
침대현유진동전감기능량검측방법재교저신조비급배경조성변화교대시검측성능교차문제，제출시량전감기협방차검측방법。해방법이용시량전감기다통도채양수거구조협방차구진，병이최대특정치여최소특정치지비위검험통계량진행목표판결。용해방법검측목표불부무수조성선험지식，가유효극복조성기복변화대래적영향。방진급실험표명，해방법검측성능량호，계산복잡도소，괄합우시량전감기대목표검측예경。
The ship motion information can be detected with a vibration sensor deployed at the bottom of sea. Energy detection used in a vibration sensor is the most traditional method.However,its performance has a significant loss under a dramatic noise fluctuation and a low signal to noise ratio.To solve this problem,a sample covariance detection algorithm for a vector sensor was proposed here.According to the characteristics of signals received by the vector sensor, the ratio of the maximum eigenvalue to the minimum one was taken as the detection statistic to make target determinations. The proposed method exhibited a good performance and robustness against noise fluctuation without having to know any prior information of the noise.The simulation and experiment results showed that the new detection method can be used to improve the target detection performance of a vector sensor under noise fluctuation,and its computational complexity is smaller,it is suitable for target detection and early warning with a vector sensor.