摘要
主要研究了主动高频声纳(20～35kHz)的体目标识别方法。提出了基于水下分裂波束布阵体制下,目标短时方位特征的自适应提取方法,利用分裂波束双通道的自适应结构,克服了目标回波多卜勒对自适应短时方位(相位)的影响,提高了抗噪声性能。同时利用目标方位走向特征向量,给出了体目标的目标视在张角估计值,做为识别判据。文章给出了目标方位走向的提取方法、试验结果,同时给出了目标视在张角估计方差。
Length-extension target recognition method is discussed on active high-frequency (20～35kHz)sonar in this paper, and target short-time bearings feature extraction method is put forward by adaptive structure under splitting beam system. This structure is not affected with high Doppler echo and noise can be cancelled very well. Meanwhile, target extension angle estimation value and estimation variation are presented. Finally, experimental result is given by feature extraction.
出处
《系统仿真学报》
CAS
CSCD
2004年第1期31-34,共4页
Journal of System Simulation
关键词
分裂波束
自适应
主动声纳
识别
splitting beam
adaptive algorithm
active sonar
recognition
