A time frequency approach to CFAR detection

S. Layeghy, M. Odabaee, M. Khlif, H. Amindavar
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引用次数: 2

Abstract

Simultaneous analysis of signals in time and frequency domains is a standard approach in many signal processing applications including some detection. Parameters of clutter, noise and interference, and in some cases Doppler specifications, are the basis for most of current CFAR target detection techniques. When these parameters are unknown, most of current detection methods do not perform well. In this paper, a detection approach is introduced using time-frequency (TF) signal analysis. The method is non-parametric and by analysis of the spectrogram of the input, the presence of target signal is localized in time domain. Then, the signal detection is achieved using an adaptive thresholding.
CFAR检测的时频方法
在时域和频域同时分析信号是许多信号处理应用的标准方法,包括一些检测。杂波、噪声和干扰参数,以及在某些情况下的多普勒参数,是目前大多数CFAR目标检测技术的基础。当这些参数未知时,现有的大多数检测方法都不能很好地发挥作用。本文介绍了一种基于时频(TF)信号分析的检测方法。该方法是非参数的,通过分析输入信号的谱图,在时域上定位目标信号的存在。然后,使用自适应阈值实现信号检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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