COMPUTER ARCHITECTURE FOR KALMAN FILTERING

Award Information
Agency: Department of Defense
Branch: Army
Contract: N/A
Agency Tracking Number: 6528
Amount: $59,632.00
Phase: Phase I
Program: SBIR
Awards Year: 1987
Solitcitation Year: N/A
Solitcitation Topic Code: N/A
Solitcitation Number: N/A
Small Business Information
Systolic Systems Inc
1065 E Brokaw Rd, San Jose, CA, 95131
Duns: N/A
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 RICHARD H TRAVASSOS
 (408) 286-0421
Business Contact
Phone: () -
Research Institution
N/A
Abstract
TO MEET THE HIGH THOUGHPUT REQUIREMENTS OF DOD SIGNAL PROCESSING APPLICATIONS, HIGHLY PARALLEL ARCHITECTURES NEED TO BE DEVELOPED. IN PARTICULAR, TO PERFORM MULTIDIMENSIONAL KALMAN FILTERING AT SAMPLE RATES APPROACHING 15 KHZ INNOVATIVE TECHNIQUES ARE NEEDED TO PARTITION THE PROBLEM FOR REAL-TIME IMPLEMENTATION. THEREFORE, A UNIQUE DECOUPLING OF THE PREDICTOR AND CORRECTOR EQUATIONS IN THE KALMAN FILTER IS PROPOSED TO SPEED-UP COMPUTATIONS BY TWO (2) ORDERS OF MAGNITUDE (100X). THE PROPOSED PARALLED ALGORITHMS AND ARCHITECTURES ARE WELL-SUITED FOR RECURSIVE FILTERING, IMAGE AND SIGNAL PROCESSING FOR NEXT GENERATION INSTRUMENT RADAR AND TELEMETRY EQUIPMENT.

* information listed above is at the time of submission.

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