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Matched Filter

Dave Johson - Program Manager Blind Equalization Source Recovery - Michigan Aerospace Corporation
Program Manager
David K. Johnson, Ph.D.
734-975-8777 x140
djohnson@michiganaerospace.com
Brochures


MAC researchers have developed a robust approach to Matched Filtering for the detection of Manchester Codes embedded in noisy signals for significantly improving the performance of optical telemetry systems. The technique leverages redundancy in a priori knowledge of message space and employs a Normalized Correlation to exploit the Cauchy Schwarz Inequality. The technique is illustrated here:


Illustration of the Manchester Coding and variants



Illustration of the Matched Filter



Example of Noisy Signals



Example of a successful detection



 


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