SBIR/STTR Research Award
ADAPTIVE LINEAR ESTIMATION IS A POWERFUL TECHNIQUE FOR RETRIEVING INFORMATION FROM NOISE CORRUPTED SIGNALS WITH UNKNOWN, TIME-VARYING, SIGNAL AND NOISE STATISTICS.
Award amount
$33,000Program and phase
SBIR · Phase IAward year
1983Award details
- Awarding agency
- National Science Foundation
- Branch
- Not reported
- Recipient company
- Integrated Systems I
- Proposal award date
- Not reported
- Contract end date
- Not reported
- UEI
- Not reported
- Solicitation number
- Not reported
- Topic code
- Not reported
Research abstract
ADAPTIVE LINEAR ESTIMATION IS A POWERFUL TECHNIQUE FOR RETRIEVING INFORMATION FROM NOISE CORRUPTED SIGNALS WITH UNKNOWN, TIME-VARYING, SIGNAL AND NOISE STATISTICS. IT HAS BEEN RARELY APPLIED TO COMMUNICATION APPLICATIONS BECAUSE OF THE PROHIBITIVE COMPLEXITY AND COST OF THE REQUIRED DIGITAL SIGNAL PROCESSING WHEN IMPLEMENTED ON A GENERAL PURPOSE SEQUENTIAL COMPUTER. THIS PROJECT COMBINES PARALLEL PROCESSING CAPABILITY OF VSLI HARDWARE WITH RECENTLY DEVELOPED MODULAR RELIZATIONS OF THE ADAPTIVE MULTICHANNEL LINEAR ESTIMATOR DEVELOP A SPECIAL PURPOSE SIGNAL PROCESSINGCOMPONENT FOR INTERFERENCE SUPPRESSION. THUS COMPONENT HAS HAS DIRECT APPLICATION TO CHANNEL EQUALIZATION NOISE CANCELLING, MULTIPATH CANCELLING, DOPPLER PROCESSING AND NULL STEERING. SEVERAL OF THESE SIGNAL PROCESSING OPERATIONSCAN BE COMBINED IN A SINGLE ADAPTIVE LINEAR ESTIMATOR WITHOUT SIGNIFICANTLY INCREASING ITS COMPLEXITY OR REDUCING ITS PROCESSING SPEED.
Technology keywords
Not reported