Foliage Propagation Model Development to Support New Communications Concepts

Award Information
Agency:
Department of Defense
Amount:
$1,749,799.00
Program:
SBIR
Contract:
D14PC00069
Solitcitation Year:
2012
Solicitation Number:
2012.2
Branch:
Defense Advanced Research Projects Agency
Award Year:
2014
Phase:
Phase II
Agency Tracking Number:
D2-1224
Solicitation Topic Code:
SB122-007
Small Business Information
Systems & Technology Research
400 West Cummings Park, Suite 5850, Woburn, MA, 01801
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
964928464
Principal Investigator
 Gil Raz
 Senior Member of Technical Staff
 (781) 503-3299
 raz@stresearch.com
Business Contact
 Ms. Melinda Wood
Title: program manager
Phone: (603) 718-9800
Email: melinda.wood@STResearch.com
Research Institution
N/A
Abstract
Systems & Technology Research (STR) together with our partner, The Ohio State University ElectroScience Laboratory (OSU/ESL), is pleased to provide this proposal to develop foliage propagation modeling algorithms, measurements and techniques to support new communications concepts. Our innovative approach to this problem will combine efficient computational electromagnetic methods (CEM) that capture the salient foliage scattering phenomenology, analysis of existing measured data, collection of new measured data, and communications systems analyses that exercise the CEM-based model for performance prediction. Our modeling will extend the well-established 4-layer model to a general N-layer model, and within each of the lower foliage layers incorporate a random distribution of tree trunks. We will calibrate our CEM-based model with existing and newly collected data and validate our methodology using full-wave simulation of selected environments. Through rigorous numerical Monte Carlo studies and closed-form analytical techniques, we will derive channel models appropriate for different communications frequency bands. Models will include path loss, delay spread, dispersion and correlation between channels. These studies will reveal optimum communications link designs and coding schemes for a given scenario.

* information listed above is at the time of submission.

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