Digital fast pattern recognizer for autonomous target recognition and tracking for advanced missile guidance and UAV reconnaissance

Albin A. Hastbacka

doi:10.1117/12.485954

25 August 2003 Digital fast pattern recognizer for autonomous target recognition and tracking for advanced missile guidance and UAV reconnaissance

Albin A. Hastbacka

Author Affiliations +

Proceedings Volume 5096, Signal Processing, Sensor Fusion, and Target Recognition XII; (2003) https://doi.org/10.1117/12.485954
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

A digital Fast Pattern Processor (DFPP) system under development for the Naval Air Warfare Center, is funded under a SBIR, Phase III contract. It is an automatic target recognizer and tracker candidate for supersonic missile guidance and unmanned air vehicle (UAV) reconnaissance to meet the U.S. navy's time-critical strike objectives. The former application requires rapid processing of moderate size, real time image arrays, versus large real time image arrays for the latter case. The DFPP correlates operator selected target filters against observed imagery at 1500 correlations per second as currently implemented with programmable logic devices (PLD's) - equivalent to thirty Pentium III (1 GHz) PC's. High performance and low weight, power, size, cost of the current version make it ideal for on-board image data processing in UAV's and cruise missiles or for ground station processing. Conversion to application specific integrated circuit (ASIC) technology provides scalable performance to meet future ATR/ATT needs. The Sanders proprietary DFPP technology embodies a Power-FFT, which is the fastest digital fast Fourier transform (DFTT) in the world with performance exceeding supercomputers, at a small fraction of the cost, size, weight, and power. The DFPP operates under control of Sanders Correlation Image Processor (SCIP) program and enables correlation against a plethora of stored target filters (templates).

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Albin A. Hastbacka "Digital fast pattern recognizer for autonomous target recognition and tracking for advanced missile guidance and UAV reconnaissance", Proc. SPIE 5096, Signal Processing, Sensor Fusion, and Target Recognition XII, (25 August 2003); https://doi.org/10.1117/12.485954

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KEYWORDS

Image processing

Image filtering

Missiles

Target detection

Edge detection

Target recognition

Automatic target recognition

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