激光多普勒测速系统自适应阈值检测算法

发布时间：2018-03-23 04:02

  本文选题：激光多普勒测速(LDV)系统　切入点：频域信号检测　出处：《北京航空航天大学学报》2017年05期 　论文类型：期刊论文

【摘要】：信号检测是激光多普勒测速(LDV)系统实现高精度的关键技术,针对LDV中微弱多普勒信号的检测,本文从噪声在频域中的统计特性出发,对多普勒信号进行带阻滤波,结合雷达的恒虚警(CFAR)检测技术,设计了基于频域的单元平方和自适应阈值检测算法以解决在低信噪比(SNR)的环境中LDV的信号检测问题,提高LDV的信号探测能力,同时降低其虚警概率。仿真与实验的结果表明:该算法与固定阈值相比可以在SNR为-12 d B时实现信号的完全检测,保持低虚警概率,运算简单,工程适用性强。
[Abstract]:Signal detection is the key technology to achieve high accuracy in laser Doppler velocimetry (LDV) system. Aiming at the detection of weak Doppler signals in LDV, this paper starts from the statistical characteristics of noise in frequency domain, and carries out bandstop filtering for Doppler signals. Combined with the CFAR detection technology of radar, an adaptive threshold detection algorithm based on the squared sum of units in frequency domain is designed to solve the signal detection problem of LDV in low signal-to-noise ratio (SNR) environment, and to improve the signal detection ability of LDV. At the same time, the false alarm probability is reduced. The simulation and experimental results show that compared with the fixed threshold, the proposed algorithm can detect the signal completely when the SNR is -12 dB, keep low false alarm probability, simple operation and strong engineering applicability.
【作者单位】： 北京航空航天大学仪器科学与光电工程学院;
【分类号】：TN24
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本文编号：1651779