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EXPORT CONTROL
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Accession Number:

ADB283863

Citation Status:

Active

Citation Classification:

Unclassified

Field(s) & Group(s):

120500 - COMPUTER PROGRAMMING AND SOFTWARE

170501 - INFRARED DETECTION AND DETECTORS

Corporate Author:

OPTO-KNOWLEGE SYSTEMS INC TORRANCE CA

Unclassified Title:

Advanced Monocular Passive Ranging (A-MPR) for Missile Tracking

Title Classification:

Unclassified

Descriptive Note:

Conference paper

Personal Author(s):

Gat, Nahum

Lee, Kyungsuk

Scriven, Gordon

Lyons, Robert

Morello, Matthew

Report Date:

26 Sep 2002

Media Count:

5 Page(s)

Cost:

$7.00

Contract Number:

F04611-99-C-0025

Contract Number:

F04611-02-M-0050

Report Number(s):

AFRL-PR-ED-AB-2002-225

XC-AFRL-PR-ED

Monitor Acronym:

AFRL-PR-ED

XC

Monitor Series:

AB-2002-225

AFRL-PR-ED

Report Classification:

Unclassified

Supplementary Note:

Presented at the 2003 Meeting of MSS Specialty Group on MD-SEA held in Naval Post Grad School, CA, on 21-23 Jan 2003. Prepared in cooperation with ERC. Abstract only.

Distribution Statement:

Distribution authorized to DoD and DoD contractors only; Critical Technology; Jul 2002. Other requests shall be referred to AFRL/PRS, 5 Pollux Dr., Edwards AFB, CA 93524-7048., This document contains export-controlled technical data.

Descriptors:

*ALGORITHMS, *GUIDED MISSILE TRACKING SYSTEMS, *INFRARED TRACKING,
MATHEMATICAL MODELS, OPTIMIZATION, INFRARED SIGNATURES, ELECTROOPTICS, TAYLORS SERIES, PASSIVE SYSTEMS, ERROR ANALYSIS, RADIANCE, LEAST SQUARES METHOD, INFRARED DETECTORS, TARGET DETECTION, RANGE FINDING, ATMOSPHERIC PHYSICS

Identifiers:

EXPORT CONTROL, MODTRAN COMPUTER PROGRAM, A-MPR(ADVANCED MONOCULAR PASSIVE RANGING), MPR(MONOCULAR PASSIVE RANGING), ABSTRACT ONLY

Abstract:

A novel algorithm was developed for passive ranging of targets through the atmosphere using EO/IR measurements. The technique is based on comparing the radiance measurements in several spectral bands to a model prediction of target radiance combined with atmospheric propagation. This a classical inverse problem that is cast as an optimization problem where the differences between the model predictions and sensor measurements at all measurement bands forms a multidimensional error function that is to be minimized. The error function depends on model input parameters including target range. The optimization algorithm uses the full Modtran code to predict radiance and sensitivities (the Jacobean) of model computed predictions with respect to input parameters. The approach searches for a set of input parameters which minimizes the error function. The search is conducted iteratively using a linear Taylor series expansion of the Modtran code, where the full Modtran code is used to compute transmittance and radiance in each iteration. Convergence is typically achieved in less than 10 cycles.

Abstract Classification:

Unclassified

Distribution Limitation(s):

16 - DOD AND THEIR CONTRACTORS

57 - EXPORT CONTROL

Source Code:

434710

Document Location:

DTIC

Creation Date:

26 Nov 2002