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Processing of Wideband Doppler Lidar Signals by Digital Undersampling (Simulation)

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Abstract

Undersampling is an effective way to simplify the wideband CO2 Doppler lidar hardware as shown in [1,2] offering several times lower sampling frequency. Its application assumes precise analysis for the optimal choice of the sampling frequency and filtering parameters because of the possible aliasing causing a decrease of the SNR. In this work, on the base of simulation and processing of the identical signals, two proposed by us undersampling schemes of wideband detection are compared with the conventional quadrature detection and with sampling at Nyquist frequency directly after the photomixer. Using as a model output the Doppler frequency estimate characteristics, we obtain by the undersampling the same accuracy as with the known methods. The proposed schemes use filters with constant frequency characteristics and do not require a knowledge of reference frequency before the laser shot.

© 1995 Optical Society of America

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