弱目标检测与定位的空时谱积分方法  

Research on weak signal detection and localization by space-time spectral integration method

作　　者：李冰[1] 蒋飚[2] 王麟煜[1] 

机构地区：[1]中国科学院声学研究所,北京100190 [2]杭州应用声学研究所,杭州310012

出　　处：《声学技术》2012年第3期314-317,共4页Technical Acoustics

基　　金：国家自然科学基金资助项目(60902071)

摘　　要：研究了一种基于空时谱积分最大化的弱目标检测与距离估计技术。对常规波束形成输出在各频率和方位处的信号功率进行长时间的非相干积累,根据长时间空时谱积分的极大值来确定目标的空间位置,并且对频率-方位谱采用三次样条内插以提高定位精度。由于增大了积分时间,大大提高了对弱目标的检测能力,并且不需要细致的环境参数,提高了测距定位的稳健性。数值分析验证了在低信噪比下,检测和定位性能的提高,并给出了测距误差分析。A method for weak signal detection and ranging by maximization of the space-time spectral integration is studied in this paper. The conventional beamformed data power for each frequency and bearing is incoherently integrated for a long term, and the position on which the long-term space-time spectra achieve the maximum will indicate the target location. In order to improve the localization accuracy, the frequency-azimuth spectra are interpolated by using cubic spline. Since the integration time is increased, the detection performance for weak signal is improved significantly. Furthermore, this method is robust with no need of the detailed environmental parameters. Numerical results show the performance improvements of detection and localization under low signal-to-noise ratio （SNR） scenarios, and the relative ranging error is analyzed.

关 键 词：弱目标检测 被动测距 空时谱积分 

分 类 号：TJ67[兵器科学与技术—武器系统与运用工程]