ADVANCED RADAR CROSS SECTION MEASUREMENT ANALYSIS

Award Information
Agency:
Department of Defense
Branch
Defense Advanced Research Projects Agency
Amount:
$75,000.00
Award Year:
1987
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
6049
Agency Tracking Number:
6049
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
L.n.k. Corp Inc (Currently LNK CORP., INC.)
6811 Kenilworth Ave - Ste 306, Riverdale, MD, 20737
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
BARBARA A LAMBIRD
(301) 927-3223
Business Contact:
() -
Research Institution:
n/a
Abstract
AUTOMATIC IDENTIFICATION OF TARGET INFORMATION USING RADAR CROSS SECTIONS IS AN EXTREMELY DIFFICULT PROBLEM. A LARGE AMOUNT OF EFFORT HAS BEEN DEVOTED TO THE PROBLEM OF ESTIMATING THE RADAR CROSS SECTION OF VARIOUS SHAPES, BUT THE RANGE OF POSSIBLE OBJECTS WHICH CAN BE ENCOUNTERED IS LARGE, AND MEASURES CAN BE TAKEN TO ALTER THE APPEARANCE OF A RADAR CROSS-SECTION. IN ADDITION, AN OBJECT CAN BE VIEWED FROM MANY VIEWPOINTS, ADDING TO THE COMPLEXITY OF THE ANALYSIS TASK. IDENTIFICATION OF "HOT SPOTS" USING RADAR CROSS SECTIONS IS USEFUL FOR BOTH TARGET RECOGNITION AND FOR COUNTERMEASURE PURPOSES. WE ARE PROPOSING TO STUDY THE APPLICABILITY OF SEVERAL RELATED AND COMPLEMENTARY ARTIFICIAL INTELLIGENCE APPROACHES FOR THE ANALYSIS OF RADAR CROSS SECTIONS. ONE TECHNIQUE OPERATES PRIMARILY IN THE FREQUENCY DOMAIN AND THE OTHER MAINLY IN THE SPATIAL DOMAIN. WE WILL EVALUATE THESE TECHNIQUES AND EXPLORE THE POSSIBILITY OF COMBINING THEM TO ACHIEVE A ROBUST MULTI-DOMAIN ANALYSIS TOOL. THE TECHNIQUES BEING STUDIED HAVE ALREADY PROVEN USEFUL IN A VARIETY OF DOMAINS INCLUDING SPEECH, MEDICAL WAVEFORM ANALYSIS, AND IMAGE ANALYSIS.

* information listed above is at the time of submission.

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