Radio Propagation Prediction Software for Complex Mixed Path Physical Channels

Award Information
Agency:
Department of Defense
Amount:
$746,560.00
Program:
SBIR
Contract:
W31P4Q-04-C-R245
Solitcitation Year:
2002
Solicitation Number:
2002.2
Branch:
Defense Advanced Research Projects Agency
Award Year:
2004
Phase:
Phase II
Agency Tracking Number:
02SB2-0059
Solicitation Topic Code:
SB022-028
Small Business Information
REMCOM, INC.
315 S. Allen St., State College, PA, 16801
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
945483733
Principal Investigator
 Joseph Schuster
 Electromagnetic Analyst
 (814) 861-1299
 jws@remcom.com
Business Contact
 Raymond Luebbers
Title: President
Phone: (814) 861-1299
Email: rjl@remcom.com
Research Institution
N/A
Abstract
Predicting the radio signal levels and coverage areas for Information Warfare System communication channels between base stations, vehicles and warfighters is a challenging problem. The channel may involve radio frequency interactions with hills, foliage, and buildings. The paths may involve long distances over hilly terrain or shorter distances involving interaction with urban building features. Many propagation paths may simultaneously involve hills, foliage, and urban areas. These mixed path links involving both urban (including indoor) features and rural (including foliage) terrain are beyond the capability of any existing physics-based propagation model. Development of fast and reliable mixed-path models valid over a wide range of communication frequencies will be the focus of the proposed effort. This development will by necessity bring together different types of models. Full wave models may be applied to predict the antenna pattern from an antenna on a vehicle, a warfighter crouched below a wall, or even for propagation paths involving terrain or atmospheric effects. Ray-based models are needed for complex interactions with urban features and for indoor situations. All of these need to be combined in new ways in order to obtain accurate mixed-path radio propagation predictions.

* information listed above is at the time of submission.

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