Abstract

To retrieve a high-resolution vector signal from a set of measured low-resolution vector signals, we deliberately delayed the synchronization between the transmitter and the receiver of a pulsed laser radar (lidar). Once several range-shifted low-resolution vector signals had been obtained, we independently applied a regularization method and the singular-value-decomposition method to restore high-resolution characteristics. The former approach remains preferable when the signal-to-noise ratio is low, whereas the latter provides results similar to those of the former, but with lesser effort, as the signal-to-noise ratio becomes high.

© 1997 Optical Society of America

Edge technique Doppler lidar wind measurements with high vertical resolution

C. Laurence Korb, Bruce M. Gentry, and S. Xingfu Li
Appl. Opt. 36(24) 5976-5983 (1997)

Space-varying restoration of optical images

James G. Nagy, V. Paul Pauca, Robert J. Plemmons, and Todd C. Torgersen
J. Opt. Soc. Am. A 14(12) 3162-3174 (1997)

Reconstruction of low-light images by use of the vector Wiener filter

Stephen D. Ford, Byron M. Welsh, Michael C. Roggemann, and David J. Lee
J. Opt. Soc. Am. A 14(10) 2678-2691 (1997)

Resolution: a survey

A. J. den Dekker and A. van den Bos
J. Opt. Soc. Am. A 14(3) 547-557 (1997)

Deconvolution techniques for improving the resolution of long-pulse lidars

L. L. Gurdev, T. N. Dreischuh, and D. V. Stoyanov
J. Opt. Soc. Am. A 10(11) 2296-2306 (1993)