最小平均p范数算法在轴频电场检测中的应用  

Application of least mean p-norm in shaft-rate electric field detection

作　　者：黄勇 程锦房[1] 张伽伟[1] 姬庆[1] 庞彦东 HUANG Yong;CHENG Jin-fang;ZHANG Jia-wei;JI Qing;PANG Yan-dong(College of Weaponry Engineering,Naval University of Engineering,Wuhan 430033,China)

机构地区：[1]海军工程大学兵器工程学院,湖北武汉430033

出　　处：《舰船科学技术》2022年第13期139-143,152,共6页Ship Science and Technology

基　　金：国家自然科学基金资助项目(51509252);青岛海洋科学与技术国家海洋实验室资助项目(SQ2017WHZZB0202)。

摘　　要：为了提高在运动平台下对舰船轴频电场的探测距离,需要深入研究舰船轴频电场的信号处理方法。在理论仿真、海上试验数据分析的基础上,对最小平均p范数(LMP)算法在轴频电场信号处理中的应用进行了研究。仿真结果表明,在非高斯背景下,LMP算法可以有效提高信噪比,且能够在低信噪比下对轴频电场进行有效检测。试验结果表明,对于非高斯噪声较强的海上运动平台,经LMP算法处理后的轴频电场信噪比相比于传统的最小均方(LMS)算法可大幅提高信噪比,从而可以进一步提高对轴频电场的检测距离。In order to improve the detection distance of the shaft frequency electric field under the moving platform, it is necessary to study the signal processing method of the shaft frequency electric field in depth. On the basis of theoretical simulation and marine test data analysis, the application of the least average p-norm(LMP) algorithm in the signal processing of shaft frequency electric field is studied. The simulation results show that under the non-Gaussian background, the LMP algorithm can effectively improve the signal-to-noise ratio, and can effectively detect the shaft frequency electric field under low signal-to-noise ratio;the test results show that for offshore sports platforms with strong non-Gaussian noise, Compared with the traditional least mean square(LMS) algorithm, the signal-to-noise ratio of the shaft frequency electric field processed by the LMP algorithm can greatly improve the signal-to-noise ratio, which can further increase the detection distance of the shaft frequency electric field.

关 键 词：最小平均p范数算法 轴频电场 非高斯背景 运动平台 最小均方算法 

分 类 号：TJ610.1[兵器科学与技术—武器系统与运用工程] TP274.5[自动化与计算机技术—检测技术与自动化装置]