Towards a self-healing, anti-jamming adaptive beamforming array

Fault tolerance is a critical property for many communication systems, whether it is commercial or governmental, related to defense or aerospace, be it terrestrial, airborne or in space. Redundancy is a common approach to fault-tolerance but incurs extra cost, mass, and overall system complexity. Self-healing systems are appealing because they avoid some of the disadvantages of redundancy while allowing the system to recover partial or full functionality. In this paper, we present experimental results showing how an adaptive beamforming system can recover full anti-jamming functionality in the presence of significant antenna damage.

[1]  Günter Rudolph,et al.  Convergence analysis of canonical genetic algorithms , 1994, IEEE Trans. Neural Networks.

[2]  Jason D. Lohn,et al.  An anti-jamming beamformer optimized using evolvable hardware , 2011, 2011 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS 2011).

[3]  Anthony G. Pipe,et al.  Towards evolving fault tolerant biologically inspired hardware using evolutionary algorithms , 2007, 2007 IEEE Congress on Evolutionary Computation.

[4]  Eric Michielssen,et al.  The control of adaptive antenna arrays with genetic algorithms using dominance and diploidy , 2001 .

[5]  Derek S. Linden,et al.  A system for evolving antennas in-situ , 2001, Proceedings Third NASA/DoD Workshop on Evolvable Hardware. EH-2001.

[6]  Noh-Hoon Myung,et al.  Array Antenna TRM Failure Compensation Using Adaptively Weighted Beam Pattern Mask Based on Genetic Algorithm , 2012, IEEE Antennas and Wireless Propagation Letters.

[7]  J. D. Lohn,et al.  An in-situ optimized anti-jamming beamformer for mobile signals , 2012, Proceedings of the 2012 IEEE International Symposium on Antennas and Propagation.

[8]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .