Multi-Channel Space-Time Adaptive Processing Technology

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,967.00
Award Year:
2006
Program:
SBIR
Phase:
Phase I
Contract:
FA8651-06-M-0169
Award Id:
79199
Agency Tracking Number:
F061-124-3851
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
2545 W. 237th Street, Suite K, Torrance, CA, 90505
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
004279860
Principal Investigator:
Barry Ambrose
Group Leader
(310) 530-1416
bambrose@broadatacom.com
Business Contact:
Freddie Lin
President and CEO
(310) 530-1416
cspence@broadatacom.com
Research Institution:
n/a
Abstract
Because the ability to accurately and reliably determine moving targets is very important in all automatic target recognition (ATR) applications, the Air Force is seeking innovative air target sensor and signal processing techniques. Unfortunately, previous research activities in multi-channel and space-time adaptive processing (STAP) techniques for the ATR of moving air targets, with in-motion platforms, have failed to produce good results. To overcome these problems, Broadata Communications, Inc. (BCI) proposes to design and develop an innovative Multi-channel Space-Time Adaptive Processing (M-STAP) technology for air target ATR applications. BCI's solution uses an innovative combination of signal transformation and detection algorithms. A unique transformation is applied to the received data in order to convert a recognition problem into a coordinate system solution. The transformation is to enable application of intelligent space-time detection algorithms in the transformed space, where the algorithm can operate with reduced complexity and with minimal no loss of optimality. The transformation and algorithms are designed together to obtain highly reliable recognition results. BCI's goal is to demonstrate the feasibility and potential of the M-STAP approach for the Air Force's air-to-air automatic target recognition applications. In Phase II, a working demonstration model will be developed.

* information listed above is at the time of submission.

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