Since Sarajevo's sadly famous events (sniper alley), the military have tried and hoped to detect snipers before they hit. The principle of detection is based on the 'cat's eye' effect according to which 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. Existing equipment has been tested in operations, but the detection probability they present is too low for the false alarm rate we want to reach. In order to specify equipment characteristics to industry, 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 (i.e. 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(R) coded model gives the detection probability 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 the importance of the target optical signature to be underlined, 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 the efficiency?'.
Sight laser detection modeling
2003
7 Seiten, 2 Quellen
Aufsatz (Konferenz)
Englisch
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