基于小波包分解和滑动功率谱的舰船轴频电场信号检测OACSTPCD
Detection of Ship Shaft-Rate Electric Field Signals Based on Wavelet Packet Decomposition and Sliding PSD
轴频电场是可在水下探测到的一种运动舰船特征物理场，由于海水的衰减作用，其信号十分微弱。文章提出了一种基于小波包分解和滑动功率谱的微弱舰船轴频电场信号检测方法。首先，利用小波包变换对观测信号进行多子带分解；然后，分别提取各子带信号功率作为检测特征量，使用浮动门限对其进行滑动检测。实测数据和仿真数据处理表明，该方法能够在较低的信噪比条件下有效工作，性能优于传统的功率谱检测方法。
Shaft-rate electric field （SREF） is a kind of characteristic physical fields generated by moving vessels which can be measured by underwater sensors. Since the heavily attenuation caused by seawater to the electromagnetic waves, SREF signals received may usually be very weak： In this paper, a novel method for ship shaft-rate electric field signature detection based on wavelet packet decomposition and sliding power spectrum density was proposed. Firstly, orth…查看全部>>
包中华;于仕财;龚沈光
海军航空工程学院电子信息工程系,山东烟台264001海军航空工程学院电子信息工程系,山东烟台264001海军工程大学兵器工程系,武汉430033
计算机与自动化
轴频电场信息处理技术微弱信号检测小波包分解滑动功率谱
shaft-rate electric fieldinformation processing techniqueweak signal detectionwavelet packets decompositionsliding power spectrum density
《海军航空工程学院学报》 2012 (3)
257-262,6
国防科技重点实验室基金资助项目（5144407105JB11）