This project aims to design and build a generic adaptive filtering module for digital communication systems. The design is based on the multi-channel fast Recursive Least Squares (RLS) adaptive filtering algorithm. The design includes echo cancellation, equalization, automatic gain control, and timing and carrier recovery performed digitally on single or multiple digital signal processors. Fixed and floating point implementations are developed and the finite precision issues involved in mapping these algorithms to finite wordlength digital signal processors (DSPs) are addressed. Real time and high level simulations of these algorithms will be performed over realistic channels. These include fading in mobile digital radio and voice-band channels with various impairments. Present digital communication systems based on current adaptive filtering technology fail in worst case channels for voice-band modems and in the case of mobile communication systems, during rapid fading. Higher speed communication over channels with more noise and distortion will become feasible by employing these new algorithms. Further, the all digital DSP-based design ensures manufacturability with greater reliability and little or no time consuming manual adjustments.***

Agency
National Science Foundation (NSF)
Institute
Division of Industrial Innovation and Partnerships (IIP)
Type
Standard Grant (Standard)
Application #
8960842
Program Officer
Kesh S. Narayanan
Project Start
Project End
Budget Start
1990-01-01
Budget End
1990-09-30
Support Year
Fiscal Year
1989
Total Cost
$49,671
Indirect Cost
Name
Datec Incorporated
Department
Type
DUNS #
City
Research Triangle Park
State
NC
Country
United States
Zip Code
27709