A calculation model of infrared detection system with improved detection capability

Abstract

In order to constantly and accurately recognize and track flying targets, using the infrared photoelectric detection system, while scientifically analyze the detection capability of the system, in complex background environments. This paper analyzes the measurement principle of the infrared photoelectric detection system, establishes a radiation energy calculation model of the background and the optical system and the target on the photoelectric detector surface. It further analyzes the influence of the photoelectric detector wavelength, the slit diaphragm and of the target effective radiation area, on the radiation energy. It obtains the contrast ratio calculation model between the target and the background, on the photoelectric detector surface, while it also derives the detection distance model of the system, combining the modulation transfer function of the system, to set up an improved detection distance calculation model, in complex background environments. Simulation and experimental analysis show that as background radiation brightness increases, in certain background environments, the detection distance of the system gradually reduces, while changing the slit diaphragm and photoelectric detector wavelength can improve the detection performance of the system. In complex background environments, changing the contrast ratio of photoelectric detector surface should be considered, to improve the detection capability of the system.

An Infrared Target Images Recognition and Processing Method Based on the Fuzzy Comprehensive Evaluation

“…The larger the interclass variance between the target and the background in the infrared target image, the greater the difference between the target and the background that constitutes the image. When part of the target is misdivided into the background or part of the background is misdivided into the target, it will lead to the difference between the target and the background becomes smaller; when the segmentation of the threshold makes the variance between the classes the largest, it means that the probability of misdivision is the smallest [35]. Assuming…”

Detection of Flying Metal Bodies Based on Photoelectric Composite Sensing

“…Liping Lu et al analyzed the measurement principle of the infrared photoelectric detection system; established a model for calculating the radiation energy of the photodetector’s surface background, optical system, and target; further analyzed the influence of the wavelength of the photodetector, the slit aperture, and the effective radiation area of the target on the radiation energy; and obtained a model for calculating the contrast of the photodetector’s surface target and the background. At the same time, a model of the detection range of the system was derived and combined with the modulation transfer function of the system to establish an improved model for calculating the detection range in an environment with a complex background [ 9 ].…”

Compact planar meta‐lenses for nondiffracting surface wave deflection

“…For low profile, Qu et al achieved a single‐layer planar metasurface based on the Pancharatnam‐Berry phase principle 18 . Lu et al proposed a reconfigurable Bessel antenna for near‐field beam deflection 19 . Due to high‐lossy diodes, the antenna efficiency is low and the nondiffractive beam is deflected at only 17.8°.…”

“…18 Lu et al proposed a reconfigurable Bessel antenna for near-field beam deflection. 19 Due to high-lossy diodes, the antenna efficiency is low and the nondiffractive beam is deflected at only 17.8°. To improve the efficiency and tilted angle, Cheng et al proposed the Risley prisms to achieve scanning of nondiffractive beam by mechanically rotating two PSSs.…”