Defence Science Journal | |
Airborne Infrared Search and Track Systems | |
Ram Saran1  Hari Babu Srivastava1  Ashok Kumar1  Y.B. Limbu1  | |
[1] Instruments Research and Development Establishment, Dehradun | |
关键词: IRST; FLIR; thermal imaging; false alarm rate; wavelet transform; FOV; infrared search and track systems; airborne IRST systems; field of view; forward-looking infrared; target tracking; | |
DOI : | |
学科分类:社会科学、人文和艺术(综合) | |
来源: Defence Scientific Information & Documentation Centre | |
【 摘 要 】
Infrared search and track (IRST) systems are required for fighter aircraft to enable them to passively search, detect, track, classify, and prioritise multiple airborne targets under all aspects, look-up, look-down, and co-altitude conditions and engage them at as long ranges as possible. While the IRST systems have been proven in performance for ground-based and naval-based platforms, it is still facing some technical problems for airborne applications. These problems arise from uncertainty in target signature, atmospheric effects, background clutter (especially dense and varying clouds), signal and data processing algorithms to detect potential targets at long ranges and some hardware limitations such as large memory requirement to store and process wide field of view data. In this paper, an overview of airborne IRST as a system has been presented with detailed comparative simulation results of different detectionitracking algorithms and the present status of airborne IRSTs
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201912010139850ZK.pdf | 3524KB | download |