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RF Sensor Performance in Electrically Large, Complex Environments

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
82527
Program Year/Program:
2008 / SBIR
Agency Tracking Number:
N071-023-0752
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Delcross Technologies, LLC
301 North Neil Street Suite 302 Champaign, IL 61820-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2008
Title: RF Sensor Performance in Electrically Large, Complex Environments
Agency / Branch: DOD / NAVY
Contract: N68335-08-C-0256
Award Amount: $749,966.00
 

Abstract:

Modern aircraft include numerous RF systems and associated antennas of diverse types. The designed performance of antennas is typically degraded by their installation on the airframe. Also, the presence of many RF systems in a small region creates enormous opportunity for undesired interference via antenna-to-antenna coupling. These conditions present serious challenges for engineers tasked with integrating antennas onto platforms. We propose to develop a tool that implements ray tracing on electrically large, high-fidelity airframe CAD models to predict installed antenna performance: antenna patterns, antenna-to-antenna coupling, spatial field distributions, angle-of-arrival, and other direct or diagnostic metrics. In Phase I, we developed and validated a baseline predictor while researching advanced modeling enhancements. In Phase II, we will engineer this into a robust capability, implement various modeling and ease-of-use enhancements, and couple it to a graphical user interface (GUI) emphasizing 3-D visualization to aid in scenario configuration, multi-system management, and result interpretation. A CAD pre-processor tool will also be developed to assist the user in importing, creating, editing, and repairing platform models. The tool suite will offer advantages over existing asymptotic solvers through more accurate near field interactions, creeping wave algorithms for realistic geometries, and powerful diagnostic features.

Principal Investigator:

Robert A. Kipp
Chief Scientist
3124317413
kipp@delcross.com

Business Contact:

Matthew C. Miller
President
2178952067
mcmiller@delcross.com
Small Business Information at Submission:

DELCROSS TECHNOLOGIES, LLC
223 East Sixth Street PO Box 676 Neoga, IL 62447

EIN/Tax ID: 205163196
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No