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MIMO Radar Clutter Modeling

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
Program Year/Program:
2012 / STTR
Agency Tracking Number:
F11B-T14-0203
Solicitation Year:
2011
Solicitation Topic Code:
AF11-BT14
Solicitation Number:
2011.B
Small Business Information
Information Systems Laboratories, Inc.
10070 Barnes Canyon Road San Diego, CA 92121
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2012
Title: MIMO Radar Clutter Modeling
Agency / Branch: DOD / USAF
Contract: FA8650-12-M-1386
Award Amount: $99,750.00
 

Abstract:

ABSTRACT: Radars have long been an important sensor used on the battlefield for detecting and tracking adversary movements as well as for imaging and target identification. One of the primary factors that determines the performance of a radar is the signal processing algorithms used to detect targets in clutter. State-of-the art radars use advanced adaptive signal processing techniques to achieve a high degree of clutter cancellation which allows for weak targets such as vehicles and dismounts to be reliably detected and tracked. Reliable performance evaluation of adaptive signal processing algorithms requires a detailed characterization of the clutter which is highly dependent on the specific operating environment (buildings, terrain, trees, etc.) as well as the various electromagnetic propagation and scattering mechanisms that influence the received clutter signals. ISL is pleased to propose an STTR program that will develop a physics-based radar simulation and modeling tool that takes as input 3D models of any radar operating environment and is capable of providing multi-dimensional radar data outputs with realistic statistical and spectral properties that can be used to evaluate algorithm performance of MIMO radars. BENEFIT: The developed tools will provide the research community including universities, DoD laboratories and prime contractors developing next generation MIMO radars with simulation tools that can be used to accurately predict real-world system performance without the need for expensive and time-consuming field experiments. Additionally, the new simulation tools have the potential for application to other RF sensor disciplines including wireless communications, signals intercept and intelligences and navigation.

Principal Investigator:

Jameson Bergin
Principal Investigator
(703) 269-3620
jsb@isl-inc.com

Business Contact:

Nicole Y. Sanese
Sr. Contract Administrator
(858) 373-2711
nsanese@islinc.com
Small Business Information at Submission:

Information Systems Laboratories, Inc.
10070 Barnes Canyon Road San Diego, CA -

EIN/Tax ID: 541198316
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
The University Of Rhode Island
Sponsored Projects Office
70 Lower College Rd, 2nd Floor
Kingston, RI 02881-
Contact: Jill Diehi
Contact Phone: (401) 874-5452