LFM signal detection using LPP-Hough transform
LFM signal detection using LPP-Hough transform
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DOI：
10.1016/j.sigpro.2010.08.001
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发表时间：
2011-06-01
影响因子：
4.4
通讯作者：
See, Chong Meng Samson
中科院分区：
文献类型：
--
作者：
Bi, Guoan;Li, Xiumei;See, Chong Meng Samson
提出了一种结合局部多项式周期图(LPP)和Hough变换检测线性调频(LFM)信号的新方法。从理论上比较了伪Wigner-Ville分布(PWVD)和LPP获得的3分贝信噪比(SNR)，表明后者对于显著提高Hough变换域的噪声裕度具有重要意义。给出了被加性高斯白噪声和脉冲噪声污染的单分量和多分量ISM信号的计算机仿真结果。研究还发现，通过使用时频滤波，可以大大降低检测的计算复杂度。理论分析和仿真结果都表明，在极低信噪比环境下，该方法在检测ISM信号时取得了显著的性能改善。(C)2010爱思唯尔B.V.保留所有权利。
This paper presents a new method to detect linear frequency modulated (LFM) signals by jointly using the local polynomial periodogram (LPP) and the Hough transform. Theoretical comparison is made on the 3 dB signal-to-noise ratios (SNRs), achieved by the pseudo-Wigner-Ville distribution (PWVD) and the LPP, to show that the latter is important to achieve significant increase of noise margins in the Hough transform domain. The results of computer simulations are presented for the detection of mono- and multi-component ISM signals corrupted by additive white Gaussian noise and impulsive noise. It is also found that by using the time-frequency filtering, the computational complexity of the detection can be substantially reduced. Both the theoretical analysis and the simulation results show that the proposed method achieves significant performance improvement on detecting the ISM signals in very low signal-to-noise ratio environments. (C) 2010 Elsevier B.V. All rights reserved.