CODEC (Code/Decode) for Digital Buoys in a Harsh RF Environment

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-02-C-3073
Agency Tracking Number: N01-175-04
Amount: $69,092.00
Phase: Phase I
Program: SBIR
Awards Year: 2002
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
Planning Systems, Inc.
12030 Sunrise Valley Drive, Suite 400, Reston Plaz, Reston, VA, 20191
DUNS: 072651391
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 David Minton
 Senior C4ISR Engineer
 (703) 788-7737
 dminton@plansys.com
Business Contact
 Dave Pickett
Title: Vice President
Phone: (703) 788-7722
Email: dpickett@plansys.com
Research Institution
N/A
Abstract
"Recent simulator studies have concluded that significant channel interference and fallout occurwhen interferors occur within the uplink transmission band. Although methods involvingredundancy, encryption, compression, code/decode (CODEC) can address improvements insensitivity, each is also susceptible to interference in the RF link domain. What is proposed hereis an entirely new method of implementing Forward Error Correction (FEC) which uses a featurescale forecast model. It is anticipated that this method will decrease, by an order-of-magnitude,propagation errors due to the Bit Error Rate (BER) in the RF link domain. As more and more wireless devices take advantage of connectivity in the RF domain,susceptibility to the bit error rate (BER) will remain an issue. This problem will remain fordevices in the digital domain, as well as in the analog domain. Digital devices include otherdigital sonobuoys and other digital in-situ sensors, digital telephones and digital assistants, suchas the Personal Digital Assistant (PDA). Each of these devices communicates wirelessly usingvarious message and packet structures, each of which could benefit by a forecast method for aForward Error Correction (FEC) method. Research into the optimum method of implementingFEC for each of the various message and data domains will have to be conducted. In certaincases, it may be necessary to implement unique algorithms for the most efficiency, whereas m

* information listed above is at the time of submission.

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