Multi-Channel Space-Time Adaptive Processing Technology

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8651-06-M-0169
Agency Tracking Number: F061-124-3851
Amount: $99,967.00
Phase: Phase I
Program: SBIR
Awards Year: 2006
Solicitation Year: 2006
Solicitation Topic Code: AF06-124
Solicitation Number: 2006.1
Small Business Information
BROADATA COMMUNICATIONS, INC.
2545 W. 237th Street, Suite K, Torrance, CA, 90505
DUNS: 004279860
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Barry Ambrose
 Group Leader
 (310) 530-1416
 bambrose@broadatacom.com
Business Contact
 Freddie Lin
Title: President and CEO
Phone: (310) 530-1416
Email: 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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