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Chinese Optics Letters

Chinese Optics Letters

| PUBLISHED MONTHLY BY CHINESE LASER PRESS AND DISTRIBUTED BY OSA

  • Vol. 5, Iss. S1 — May. 31, 2007
  • pp: S260–S263

Lidar signal de-noising based on discrete wavelet transform

Xiaofeng Li and Ye Huang  »View Author Affiliations


Chinese Optics Letters, Vol. 5, Issue S1, pp. S260-S263 (2007)


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Abstract

Lidar is an efficient tool for remote monitoring, but the effective range is often limited by signal-to-noise ratio (SNR). The reason is that noises or fluctuations always strongly affect the measured results. So the weak signal detection is a basic and important problem in the lidar systems. Through the power spectral estimation, we find that digital filters are not suitable for processing lidar signal buried in noise. We present a new method of the lidar signal acquisition based on discrete wavelet transform for the improvement of SNR to increase the effective range of lidar measurements. Performance of the method is investigated by detecting the simulating and real signals in white noise. The results of Butterworth filter, which is a kind of finite impulse response filter, are also demonstrated for comparison. The experiment results show that the approach is superior to the traditional methods.

© 2007 Chinese Optics Letters

OCIS Codes
(010.3640) Atmospheric and oceanic optics : Lidar
(060.4510) Fiber optics and optical communications : Optical communications
(280.3640) Remote sensing and sensors : Lidar

Citation
Xiaofeng Li and Ye Huang, "Lidar signal de-noising based on discrete wavelet transform," Chin. Opt. Lett. 5, S260-S263 (2007)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-5-S1-S260

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