Accession Number : ADA289951

Title :   Optimum Clutter Rejection for Infrared Surveillance Sensors.

Descriptive Note : Final rept.,

Corporate Author : SPACE COMPUTER CORP SANTA MONICA CA

Personal Author(s) : Stocker, A. D.

PDF Url : ADA289951

Report Date : 19 DEC 1989

Pagination or Media Count : 61

Abstract : This document is the Final Report prepared under contract N62269-89-C-0519 with the Naval Air Development Center in Warminster, Pennsylvania. The contract was awarded in response to a Phase I SBIR proposal originally submitted by Space Computer Corporation in January 1988 to the Office of Naval Technology under SBIR Topic Number N88-15. The period of performance was 28 March 1989 to 28 September 1989. In accordance with NADC's direction, the basic problem addressed in the Phase I study was the use of adaptive spatial filtering concepts to enhance the detectability of long-range targets viewed against background clutter by an airborne Infrared Search and Track (IRST) system. For the most part, these stressing threats appear to the IRST sensor as unresolved point targets moving against a structured background scene consisting of clouds, blue sky and possibly terrain. The IRST signal processor must be capable of detecting such targets at the lowest possible signal-to-clutter ratios, while strictly controlling the number of false alarms that must be dealt with by higher levels of data processing (e.g., scan-to-scan tracking). The detection signal processing must typically be performed on tens of thousands of pixels in two-dimensional frames collected at sensor scan periods on the order of 10 seconds. Adaptive spatial filtering is a robust approach to spatial discrimination that is based on the general theory of statistical hypothesis testing. In this approach, a likelihood ratio decision statistic is used to test for the presence of a hypothesized target signal at each pixel location.

Descriptors :   *INFRARED DETECTORS, *INFRARED SURVEILLANCE, SCANNING, TEST AND EVALUATION, SIGNAL PROCESSING, DATA PROCESSING, SPATIAL DISTRIBUTION, CLOUDS, OPTIMIZATION, DETECTION, DETECTORS, TARGET SIGNATURES, COMPUTERS, TWO DIMENSIONAL, NAVY, STATISTICAL TESTS, THEORY, AIRBORNE, CLUTTER, SIGNAL TO NOISE RATIO, FALSE ALARMS, TERRAIN, TARGETS, NONLINEAR SYSTEMS, LONG RANGE(DISTANCE), SEARCHING, BACKGROUND, ADAPTIVE FILTERS, TIRES, FRAMES, SKY, COVARIANCE, HYPOTHESES, RADAR CLUTTER, DISCRIMINATION, INFRARED RADIATION, BLUE(COLOR), SPATIAL FILTERING, REJECTION, PENNSYLVANIA, SPACEBORNE.

Subject Categories : Infrared Detection and Detectors

Distribution Statement : APPROVED FOR PUBLIC RELEASE