Sparse Detection in the Chirplet Transform: Application to FMCW Radar Signals
Sparse Detection in the Chirplet Transform: Application to FMCW Radar Signals
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DOI：
10.1109/tsp.2012.2190730
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发表时间：
2012-06
影响因子：
5.4
通讯作者：
F. Millioz;M. Davies
中科院分区：
文献类型：
--
作者：
F. Millioz;M. Davies
本文的目的是对调频连续波雷达的信号进行检测和表征。雷达信号是由分段线性调频构成的。提出了一种简化的最大线性调频小波变换(MCT)。提出了一种基于迭代掩蔽的相关最大线性调频信号检测方法，该方法先迭代检测，然后进行窗口减法，不需要重新计算频谱。该检测被设计成提供最大线性调频波系数的稀疏子集。然后，这些线性啁啾被聚集成线性啁啾，其开始时间、长度和啁啾被估计。然后，这些线性调频信号被再次聚集成不同的调频连续波信号，准备被分类。提供了一个关于合成数据的图示。
This paper aims to detect and characterize a signal coming from frequency modulation continuous wave radars. The radar signals are made of piecewise linear frequency modulations. The maximum chirplet transform (MCT), a simplification of the chirplet transform is proposed. A detection of the relevant maximum chirplets is proposed based on iterative masking, an iterative detection followed by window subtraction that does not require the recomputation of the spectrum. This detection is designed to provide a sparse subset of maximum chirplet coefficients. The chirplets are then gathered into linear chirps whose starting time, length, and chirprate are estimated. These chirps are then gathered again back into the different frequency modulation continuous wave signals, ready to be classified. An illustration is provided on synthetic data.