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Modeling and analysis of signal-to-noise ratio and detection probability calculation of laser scanning missile photoelectric detection system

BAOYI GUO1,* , ZHIYONG LEI1, YAN WANG1

Affiliation

  1. School of Mechatronic Engineering, Xi’an Technological University, Xi’an, 710021, China

Abstract

In order to improve the laser detection ability of intelligent missile guidance, this paper analyzes the space position conversion relation of the intersection between missile and target, and studies the calculation method of target echo energy at the intersection of missile and target based on the laser circumferential scanning missile guidance mechanism. According to the laser reflection characteristics of target itself and the responsivity of photoelectric detection receiver, we deduce and establish the signal-to-noise ratio calculation model of missile guidance photoelectric detection system under the restriction of multiple noise parameters, and analyze the influence of the shot noise, background noise and photoelectric detection receiver noise on the signal-to-noise ratio of the system. The detection probability calculation method of the system is proposed in the aspect of output useful signal and the distribution of system noise. Through quantitative calculation and simulation test, the results show that, under the same detection mechanism, the farther the distance between the missile and the target, the lower the signal-to-noise ratio; under the condition of the same distance, the larger the intersection angle between the missile and the target, the smaller the echo energy and the signal-to-noise ratio.

Keywords

Laser, Photoelectric detection, Signal-to-noise ratio, Detection probability, Missile.

Citation

BAOYI GUO, ZHIYONG LEI, YAN WANG, Modeling and analysis of signal-to-noise ratio and detection probability calculation of laser scanning missile photoelectric detection system, Optoelectronics and Advanced Materials - Rapid Communications, 15, 7-8, July-August 2021, pp.364-372 (2021).

Submitted at: April 29, 2021

Accepted at: Aug. 16, 2021