Dr. Christophe Lecocq Profile

Dr. Christophe Lecocq

at CREC

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Proceedings Article | 21 August 2003 Paper

Sight laser detection modeling

Christophe Lecocq, Gilles Deshors, Olga Lado-Bordowsky, Jean-Louis Meyzonnette

Proceedings Volume 5086, (2003) https://doi.org/10.1117/12.486055

KEYWORDS: Sensors, Target detection, Atmospheric propagation, Scintillation, Charge-coupled devices, Turbulence, Interference (communication), Systems modeling, Signal detection, CCD image sensors

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Since Sarajevo's sadly famous events (sniper alley), the military tried and hoped to detect snipers before they hit. The principle of the detection is based on the 'cat's eyes' effect according to which the light emitted by the system and incident on the sniper's sight reflects backward in the direction of the source. The system is thus composed of a laser emitter and a CCD array detector. Already existing equipment has been tested in operations and they present too low a probability of detection for the false alarm rate we want to reach. In order to specify equipment characteristics to industrials, it has been necessary to develop a sight laser detector model. The model presented here takes into account all the various elements of the system, from the laser emission to the CCD detection, and atmospheric propagation (ie attenuation and turbulence). The signal and noise probability density functions are calculated by combining the different elementary probability density functions encountered on the double-pass propagation. This Matlab coded model gives the probability of detection of the system for given geometrical (monostatic or bistatic) and electronic characteristics of the system and for a given probability of false alarms. In addition to this, measurements in the field made it possible to validate the budget link of the model and improve it. Those measurements also permitted to underline the importance of the target optical signature, namely its Laser Cross Section. The most significant parameters necessary to the validation of the model are measured. This study allows us to answer the question 'why is the probability of detection of existing systems too low and how could we increase it's efficiency?'

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