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Automated Characterization of Communications, Electronic Attack, Radar, and Navigation Systems

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-08-C-0387
Agency Tracking Number: N082-123-0009
Amount: $150,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N08-123
Solicitation Number: 2008.2
Timeline
Solicitation Year: 2008
Award Year: 2008
Award Start Date (Proposal Award Date): 2008-08-14
Award End Date (Contract End Date): 2009-09-15
Small Business Information
2009 Fox Drive Unit K
Champaign, IL 61820
United States
DUNS: 782768977
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Matthew Miller
 President
 (217) 895-2067
 mcmiller@delcross.com
Business Contact
 Matthew Miller
Title: President
Phone: (217) 895-2067
Email: mcmiller@delcross.com
Research Institution
N/A
Abstract

One of the most important problems encountered in an electromagnetic environment is that of providing compatibility between radiating and receiving RF equipment within the environment. This problem is a type of electromagnetic interference and the goal of RF system designers and analysts is to achieve electromagnetic compatibility where no interference problems exist between the various RF systems. As an increasing number of RF systems are installed on Navy aircraft, the cosite interference problem becomes more and more challenging. To further complicate matters, modern RF systems are often capable of operating over many channels and thus the operating frequency range of a single system can be very large. Also, a modern RF system may be capable of supporting multiple modulation schemes and modalities. These factors represent a major challenge to analysts who wish to simulate cosite interference problems since RF system models are not readily available. Our team proposes to develop an automated measurement system (AMS) that will aid in the development of both low fidelity (spectrum) and high fidelity (behavioral) models for use with cosite analysis software. The AMS will automatically and non-invasively extract performance parameters and characterize subsystem components of transmitters and receivers while minimizing human interaction.

* Information listed above is at the time of submission. *

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