摘要
针对常规地震动传感信号的目标识别方法受背景噪声影响的问题,进行了理论分析和数学建模。在此基础上,仿真分析了过零检测和峰值能量百分比检测方法受不同类别噪声的影响。提出了基于Fisher分类器结合各目标识别方法的一种综合目标识别方法,并给出了详细的数学推导。经实际数据验证表明,该方法能够在一定程度上抑制背景噪声的影响,提高目标识别概率。
Aiming at the impact of background noise on target identification for conventional sensor signals of ground motion,the theo-retical analysis and mathematical modeling are done.Based on it,the impact of different kinds of noise on zero crossing detection and percent-age-of-peak energy method is simulated and analyzed.This paper proposes an integrated target identification method based on Fishier classifier and various target identification methods,and performs detailed mathematical derivation.The practical data experimental results show that this method can restrain the impact of background noise and improve the probability of target identification.
出处
《无线电工程》
2014年第5期26-29,共4页
Radio Engineering
基金
国家部委基金资助项目
