摘要
本文提出了一种混响和噪声干扰下动目标检测的自适应方法,其结构为自适应混响抵消器(ARC)加推广的自适应相干累积器(GACI)。用自适应混响抵消实现干扰背景的预白化,用推广的自适应相干累积实现匹配滤波的功能。该方法不需要混响干扰的先验知识,也不需要知道信号参量,就可以实现混响干扰背景中动目标的检测。仿真和试验表明,其具有良好的动目标检测性能,且具有很好的海洋信道适应能力。
Matched filter, cross-correlator and orthogonal receiver are optimum receivers in noise. However, if the 'noise' at the receiver is dominated by reverberation, the design of the optimum receiver becomes difficult. Hence, an adaptive algorithm to detect moving target in a reverberation background is proposed. The structure of this detector consists of an adaptive reverberation canceller (ARC) and a generalized adaptive coherent integrator (GACI). Interference can be whitened by ARC and the matched filter can be realized by GACI. Priori probabilities of the reverberation and parameters of the signal are not required in our method. The results of the sea test show that the method is effective in detecting a moving target and has a good adaptability to the ocean channel.
出处
《应用声学》
CSCD
北大核心
2003年第2期26-29,25,共5页
Journal of Applied Acoustics
关键词
动目标检测
自适应混响抵消器
自适应相干累积器
信号检测
Moving target detection, Adaptive reverberation canceller, Generalized adaptive coherent integrator
