摘要
目前普遍采用的飞机磁场模型存在一定的复共线性,传统方法很难准确计算其模型系数。模型系数的不准确对水下磁异常信号探测的影响也很大。自适应探测方法假设飞行测量过程为平稳随机过程,利用对背景噪声的统计特性的学习,实现飞机背景噪声的白化。根据磁性目标的时序特点和噪声的统计特性提出的探测因子,在强起伏干扰背景下对磁异常信号具有较强的探测能力,同时简化了补偿过程,提高了探测效率,具有工程应用价值。
Due to multi-collinearity of the airplane magnetic model, it is difficult to estimate the parameters of model and the underwater magnetic anomaly detection （MAD）are affected too. Flight of aeromagnetic survey was assumed to be stationary processes. Using the statistical characteristics of aircraft＇sbackground noise,the adaptive detection method whiten magnetic inference noise. Base on the time-domain characteristics of magnetic target and the statistical characteristics of target and noise, the detection factor was proposed and it has a strong magnetic anomaly detection capability in strong complex noise. Adaptive detection method simplifies the compensation process and improves the detection efficiency of aeromagnetic survey.
出处
《舰船科学技术》
北大核心
2012年第3期76-79,共4页
Ship Science and Technology
基金
国防重点实验室基金资助项目(51444060101JB1108)
关键词
磁异常探测
航空磁探
自适应滤波
小尺度信号
magnetic anomaly detection
aeromagnetic survey
adaptive filter
small size signal
