10 January 2005 Background clutter and detection algorithm-based staring IR seeker preformance evaluation
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Proceedings Volume 5640, Infrared Components and Their Applications; (2005); doi: 10.1117/12.576475
Event: Photonics Asia, 2004, Beijing, China
Abstract
Detecting a target out of its surrounding background is a major problem in various infrared seekers. The cluttered scenarios present extreme challenges for the modern IR seekers and are the focus of technology efforts. So, a complete performance evaluation model should include all of the following elements: i) the background ii) the target, iii) the atmosphere, iv) the sensor, and v) the image processing algorithms. Since the staring IR seeker systems are emerging as the latest application of the thermal infrared technology, it suffers the most from the lack of complete performance evaluation models. We present a robust performance evaluation technique for staring IR seekers based on signal-to-interference ratio (SIR), with the quantitative description of the background clutter and detection algorithms emphasized. The power transfer functions of the optical system, detector and electronic are established to describe energy transmission of the signal and interference (noise and clutter) through the IR seeker, and the targets' radiant intensity statistics as well as the noise's statistical characteristics are also taken into account. In order to quantify the background clutter, we use a clutter measure based on its energy content - power spectral density (PSD). Based on this measure, a SIR is developed to analyze detection performance. Furthermore, the influence of several classical detection algorithms on the SIR is analyzed.
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Hong-hua Chang, Jian-qi Zhang, Xiao-rui Wang, Yong Li, "Background clutter and detection algorithm-based staring IR seeker preformance evaluation", Proc. SPIE 5640, Infrared Components and Their Applications, (10 January 2005); doi: 10.1117/12.576475; https://doi.org/10.1117/12.576475
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KEYWORDS
Imaging infrared seeker

Detection and tracking algorithms

Sensors

Atmospheric modeling

Performance modeling

Target detection

Signal detection

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