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Two New Patents for AFIT Faculty & Alumni

Posted Tuesday, August 09, 2016

 

Global navigation satellite system signal decomposition and parameterization algorithm
US Patent no. 9,025,640 B2

Dr. Marshal Haker, Adjunct Assistant Professor of Electrical Engineering (PhD Electrical Engineering, 2012 & M.S. Electrical Engineering, 2007)
Dr. John Raquet, Professor of Electrical Engineering

Abstract
A method and apparatus is provided for intra-PIT signal decomposition of a signal received with RF front end hardware. The method begins by aligning a signal received by RF front end hardware into integer multiples of a duration of a pseudorandom noise code sequence. A search grid is computed based on an integer multiple of the aligned signal. A plurality of initial ray parameters associated with the computed search grid is coarsely estimated. Using the coarsely estimated plurality of initial ray parameters, a fine estimation of the plurality of initial ray parameters is initiated utilizing stochastic search and optimization techniques. A stopping criteria statistic is computed by comparing a peak power of the search grid with a noise power present in the search grid. Finally, in response to determining the stopping criteria statistic being less than a stopping criteria threshold, processing a next integer multiple of the aligned signal.

Intrinsic physical layer authentication of integrated circuits
US Patent no. 9,036,891 B2

Lt Col William Cobb, PhD, (PhD Electrical Engineering, 2011 & M.S. Electrical Engineering, 2004)
Dr. Michael Temple, Professor of Electrical Engineering (PhD Electrical Engineering, 1993)
Dr. Rusty Baldwin, Adjunct Professor of Computer Engineering (M.S. Computer Engineering, 1992)
Capt Eric Garcia, (M.S. Electrical Engineering, 2011)
Eric D. Laspe

Abstract
A system and method of generating and comparing a fingerprint for an integrated circuit is provided. A sensor module captures electromagnetic emissions from the integrated circuit. A feature extraction module extracts discriminating features from the captured electromagnetic emissions. A classifier training module generates a plurality of authentication fingerprints of the integrated circuit from the extracted discriminating features creating a reference fingerprint template for the integrated circuit. The reference template for the integrated circuit is stored in a database. For authentication, the reference fingerprint template from the database is compared to the generated authentication fingerprint.
 

 

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