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Radio Propagation Prediction Software for Complex Mixed Path Physical Channels

Award Information

Department of Defense
Defense Advanced Research Projects Agency
Award ID:
Program Year/Program:
2002 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Virtual EM Inc.
3055 Plymouth Rd, Ste 200 Ann Arbor, MI -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2002
Title: Radio Propagation Prediction Software for Complex Mixed Path Physical Channels
Agency / Branch: DOD / DARPA
Contract: DAAH0103CR054
Award Amount: $97,513.00


"The deployment of advance wireless communication systems requires detail knowledge of the propagation environment and its effect on the system's performance. Physics based propagation prediction models can provide an accurate assessment of the propagationchannel without the need for an intrusive and costly set of field measurements. The proposed work envisions a fully functional computer-aided design software tool that wireless communication system designers and planners can use to simulate the phenomenathat effect the propagation in the physical layer. The software will allow the user to investigate the coverage that can be provided by various base station locations and plan system deployment without doing drive tests. The software will allow users toinclude the effects of base station antenna patterns and diversity in their system plan, as well as propagation parameters that can be used to evaluate quality of service measures. Communication devices are entering more and more aspects of daily life.From cell-phones to automobiles, wireless technology, in particular, is setting the trend and creating the demand. Better devices and technologies that drive these devices will have to be developed. As the envelope is pushed and the competition gets stiff,having access to EDA tools based on accurate propagation models will prove to be the competitive edge. Currently, the capabilities of and access to comprehensive and sophisticated site

Principal Investigator:

Tayfun Ozdemir

Business Contact:

Tayfun Ozdemir
Small Business Information at Submission:

Visualem Corp.
2019 Georgetown Blvd Ann Arbor, MI 48105

EIN/Tax ID: 562283791
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No