Optimization and performance assessment of a self-aligned heterodyne laser radar system for surface displacement monitoring

Alejandro Rodríguez; David Garcia; Adolfo Comeron; Federico Dios

doi:10.1117/12.510694

12 January 2004 Optimization and performance assessment of a self-aligned heterodyne laser radar system for surface displacement monitoring

Alejandro Rodríguez, David Garcia, Adolfo Comeron, Federico Dios

Author Affiliations +

Proceedings Volume 5240, Laser Radar Technology for Remote Sensing; (2004) https://doi.org/10.1117/12.510694
Event: Remote Sensing, 2003, Barcelona, Spain

Abstract

The optimization and performance assessment of a reference-beam, continuous-wave, heterodyne low-power laser radar prototype is presented, based on previous homodyne prototypes. It measures both magnitude and sign of the radial component of the displacement velocity. The basic set-up includes a low power (~3 mW) commercial HeNe laser, a beam-splitter, an acousto-optic modulator, and a two-lens system that both focuses the transmitted beam on the target surface and collects the scattered light. Both the reference beam and the radiation collected are focussed onto a Si avalanche photo-detector. The self-aligned configuration of the receiver makes possible, theoretically, to perform optimal mixing between the received scattered radiation and the reference beam. The resulting electrical signal is fed to a transimpedance amplifier and displayed on a spectrum analyser. Laboratory experiments employing as a target the rim of a 50 cm-diameter rotating wheel placed at several distances have been performed. Results concerning detected signal-to-noise ratio, detected-signal spectral width, accuracy of the radial component of the velocity under measurement and system working range will be presented and discussed.

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Alejandro Rodríguez, David Garcia, Adolfo Comeron, and Federico Dios "Optimization and performance assessment of a self-aligned heterodyne laser radar system for surface displacement monitoring", Proc. SPIE 5240, Laser Radar Technology for Remote Sensing, (12 January 2004); https://doi.org/10.1117/12.510694

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