An Anti-Jam GPS Receiver, using Markov Chain, Monte Carlo Integration

Matthew C. Bromberg and Ilir F. Progri

Abstract:	An adaptive array algorithm is proposed to mitigate against the presence of co-channel interference or hostile jammers for a GPS receiver. The unknown time and frequency offset estimation for the receiver, employs Markov Chain Monte Carlo (MCMC) integration, utilizing a novel, multidimensional, Bayesian, global optimization strategy for initializing a Metropolis-Hastings proposal distribution. The technique enables the design of a high performance multi-user receiver, capable of overcoming the near-far problem, mitigates multipath and interference and provides significantly improved time and frequency estimation performance over standard matched filter algorithm approaches.
Published in:	Proceedings of IEEE/ION PLANS 2006 April 25 - 27, 2006 Loews Coronado Resort Hotel San Diego, CA
Pages:	957 - 962
Cite this article:	Bromberg, Matthew C., Progri, Ilir F., "An Anti-Jam GPS Receiver, using Markov Chain, Monte Carlo Integration," Proceedings of IEEE/ION PLANS 2006, San Diego, CA, April 2006, pp. 957-962. https://doi.org/10.1109/PLANS.2006.1650696
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