Abstract

Lidar is an efficienttool for remote monitoring, but the effective range is often limited by signal-to-noise ratio (SNR). By the power spectralestimation, we find that digital filters are not fit for processing lidar signals buried in noise. In this paper, we present a new method of the lidar signal acquisition based on the wavelet trimmed thresholding technique to increase the effective range of lidar measurements. The performance of our method is investigated by detecting the real signals in noise. Theexperiment results show that our approach is superior to the traditional methods such as Butterworth filter.

© 2005 Chinese Optics Letters

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  1. A. H. Omar, J. Geophys. Res. 106, 1227 (2001).
  2. V. Santacesaria, A. R. MacKenzie, and L. Stefanutti, Tellus (B) 53, 306 (2001).
  3. L. R. Douglass, M. R. Schoeberl, S. R. Kawa, and E. V. Browell, J. Geophys. Res. 106, 9879 (2001).
  4. F. G. Fernald, Appl. Opt. 23, 652 (1984).
  5. S. Lerkvarnyu, "Moving Average Method for Time Series Lidar Data" http://www.gisdevelopment.net/aars/acrs/1998/ps3/ps3016.shtml.
  6. D. S. Huang, Intelligent Signal Processing Technique for High Resolution Radars (China Machine Press, Beijing, 2001).
  7. S. Mallat, IEEE Trans. Pattern Analysis and Machine Intelligence 11, 674 (1989).
  8. D. L. Donoho, IEEE Trans. Information Theory 41, 613 (1995).

2001 (3)

A. H. Omar, J. Geophys. Res. 106, 1227 (2001).

V. Santacesaria, A. R. MacKenzie, and L. Stefanutti, Tellus (B) 53, 306 (2001).

L. R. Douglass, M. R. Schoeberl, S. R. Kawa, and E. V. Browell, J. Geophys. Res. 106, 9879 (2001).

1995 (1)

D. L. Donoho, IEEE Trans. Information Theory 41, 613 (1995).

1989 (1)

S. Mallat, IEEE Trans. Pattern Analysis and Machine Intelligence 11, 674 (1989).

1984 (1)

Browell, E. V.

L. R. Douglass, M. R. Schoeberl, S. R. Kawa, and E. V. Browell, J. Geophys. Res. 106, 9879 (2001).

Donoho, D. L.

D. L. Donoho, IEEE Trans. Information Theory 41, 613 (1995).

Douglass, L. R.

L. R. Douglass, M. R. Schoeberl, S. R. Kawa, and E. V. Browell, J. Geophys. Res. 106, 9879 (2001).

Fernald, F. G.

Kawa, S. R.

L. R. Douglass, M. R. Schoeberl, S. R. Kawa, and E. V. Browell, J. Geophys. Res. 106, 9879 (2001).

MacKenzie, A. R.

V. Santacesaria, A. R. MacKenzie, and L. Stefanutti, Tellus (B) 53, 306 (2001).

Mallat, S.

S. Mallat, IEEE Trans. Pattern Analysis and Machine Intelligence 11, 674 (1989).

Omar, A. H.

A. H. Omar, J. Geophys. Res. 106, 1227 (2001).

Santacesaria, V.

V. Santacesaria, A. R. MacKenzie, and L. Stefanutti, Tellus (B) 53, 306 (2001).

Schoeberl, M. R.

L. R. Douglass, M. R. Schoeberl, S. R. Kawa, and E. V. Browell, J. Geophys. Res. 106, 9879 (2001).

Stefanutti, L.

V. Santacesaria, A. R. MacKenzie, and L. Stefanutti, Tellus (B) 53, 306 (2001).

Appl. Opt. (1)

IEEE Trans. Information Theory (1)

D. L. Donoho, IEEE Trans. Information Theory 41, 613 (1995).

IEEE Trans. Pattern Analysis and Machine Intelligence (1)

S. Mallat, IEEE Trans. Pattern Analysis and Machine Intelligence 11, 674 (1989).

J. Geophys. Res. (2)

L. R. Douglass, M. R. Schoeberl, S. R. Kawa, and E. V. Browell, J. Geophys. Res. 106, 9879 (2001).

A. H. Omar, J. Geophys. Res. 106, 1227 (2001).

Tellus (B) (1)

V. Santacesaria, A. R. MacKenzie, and L. Stefanutti, Tellus (B) 53, 306 (2001).

Other (2)

S. Lerkvarnyu, "Moving Average Method for Time Series Lidar Data" http://www.gisdevelopment.net/aars/acrs/1998/ps3/ps3016.shtml.

D. S. Huang, Intelligent Signal Processing Technique for High Resolution Radars (China Machine Press, Beijing, 2001).

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