首页> 外文会议>Society of Photo-Optical Instrumentation Engineers Conference on Laser Systems Technology >Joint time-frequency transform processing for linear and sinusoidal FM coherent ladars
【24h】

Joint time-frequency transform processing for linear and sinusoidal FM coherent ladars

机译:用于线性和正弦FM连贯拉长的联合时频变换处理

获取原文

摘要

We examine the signal processing of both linear and sinusoidal frequency modulation (FM) coherent ladar returns from resolved and unresolved targets, which are spread in Doppler. The Doppler spread may be due to target spin, tumbling, or vibration as well as to the applied linear or sinusoidal-FM on the transmitted E-field. Monte Carlo realizations of the target surface random phasor reflector elements interact with the incident Efield producing laser speckle, and the speckled returns are analyzed in this study. The speckle signals are processed (1) using several spectrum (periodogram based) estimators, (2) the conventional "spectrogram" approach, and (3) ten joint time-frequency transforms (JTFT). We show that the Born-Jordan JTFT is superior to the other spectral estimators tested here in suppressing local oscillator laser noise and accurately estimating the target's spectrum for signal processing under speckle target return conditions pertaining to coherent laser radar. A new algorithm which sums particular pixels of the JTFT image is introduced and is shown to be much more robust in low CNR conditions than the JTFT maxima or JTFT centroid processing when utilizing the applied linear or sinusoidal-FM modulation waveform.
机译:我们检查来自分辨和未解决的目标的线性和正弦频率调制(FM)相干升降机的信号处理,这些升降机在多普勒中传播。多普勒涂抹可能是由于旋转,翻滚或振动以及在传递的电子场上的施加的线性或正弦传米。蒙特卡罗的目标表面随机量量量量反射器元件与产生激光斑点的事件Efield相互作用,并在本研究中分析了斑点回报。处理(1)使用几个频谱(基于时表)估计器,(2)传统的“谱图”方法,(3)十个关节时频变换(JTFT)处理。我们表明,Born-Jordan JTFT优于此处在此测试的其他光谱估计器,用于抑制本地振荡器激光噪声,并准确地估计目标频谱,用于在与相干激光雷达有关的散斑靶返回条件下的信号处理。介绍了一种新的算法,其介绍了JTFT图像的特定像素,并且显示在利用所施加的线性或正弦-FM调制波形时,在低CNR条件下在低CNR条件下更稳健。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号