Airborne Infrared Search and Track Systems

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.

[1]  Bo Qi,et al.  New approach to detect dim moving point targets based on motion analysis , 2001, SPIE Optics + Photonics.

[2]  Boyd Cook PIRATE: the IRST for Eurofighter TYPHOON , 2003, SPIE Optics + Photonics.

[3]  Uday B. Desai,et al.  Wavelet Based Detection, Modified Pipeline Algorithm for Multiple Point Targets Tracking In Infrared Image Sequences , 2002, ICVGIP.

[4]  Gary Waldman,et al.  Electro-Optical Systems Performance Modeling , 1992 .

[5]  Robert F. Cody,et al.  Achieving high throughput with COTS multicomputers: infrared search and track case study , 1997, Defense, Security, and Sensing.

[6]  Charlene E. Caefer,et al.  Optimization of point target tracking filters , 2000, IEEE Trans. Aerosp. Electron. Syst..

[7]  Stanley R. Rotman,et al.  Analyzing point target detection algorithms , 2005, SPIE Security + Defence.

[8]  Bjorn F. Andresen,et al.  Surface-based IRST: a selection process for sensor parameter values , 1997, Defense, Security, and Sensing.

[9]  Gerald C. Holst,et al.  Common Sense Approach to Thermal Imaging , 2000 .

[10]  Piet B. W. Schwering,et al.  Passive ranging using an infrared search and track sensor , 2006 .

[11]  Meng Hwa Er,et al.  New method for detection of dim point targets in infrared images , 1999, Optics & Photonics.

[13]  Ashok Kumar,et al.  Modified motion-based detection algorithm for dim targets in IR image sequences , 2006, SPIE Photonics Europe.

[14]  Lionel R. Baker,et al.  Infrared technology and applications , 1986 .

[15]  Stanley R. Rotman,et al.  Point target tracking in hyperspectral images , 2005 .

[16]  Stanley R. Rotman,et al.  Matched filters for multispectral point target detection , 2006, SPIE Optics + Photonics.

[17]  Wei Kuo,et al.  Detection of small IR objects using wavelets, matched subspace detectors, and registration , 2002, SPIE Defense + Commercial Sensing.