Using evolutionary optimization for specialized recursive filter synthesis

Julia V. Sergienko; Yuri S. Yurchenko

doi:10.1117/12.326726

13 October 1998 Using evolutionary optimization for specialized recursive filter synthesis

Julia V. Sergienko, Yuri S. Yurchenko

Proceedings Volume 3455, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation; (1998) https://doi.org/10.1117/12.326726
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

Abstract

Designing digital filters that meet multiple quality criteria is a necessity for modern radar and navigation systems. The complexity of the problem increase due to the fact that no analog prototype can be used in such situation. Consequently, the direct synthesis methods are of great interest, evolutionary optimization among them. The use of evolutionary, optimization technique to synthesize both recursive and non-recursive filters for signal processing units of radar and navigation systems is discussed. The choice of proper variables for optimization routine is considered. To synthesize a filter from given multiple conflicting criteria, modified Niched Pareto genetic algorithm has been used. The algorithm produces tradeoff Pareto surface of non-dominated solutions. The recursive filter for navigation systems receiver with digital quandrature frequency selection has been synthesized from three criteria: maximum output signal-to-noise ratio, maximum suppression of adjacent channel, and minimum sensitivity of wavefront sampling moment to carrier frequency deviation. The results obtained are presented.

Citation Download Citation

Julia V. Sergienko and Yuri S. Yurchenko "Using evolutionary optimization for specialized recursive filter synthesis", Proc. SPIE 3455, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation, (13 October 1998); https://doi.org/10.1117/12.326726

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