A novel FIR filter design based on clonal selection algorithm

Qiusheng Wang; Shaokun Gao; Jingpo Zhao

doi:10.1117/12.806724

13 October 2008 A novel FIR filter design based on clonal selection algorithm

Qiusheng Wang, Shaokun Gao, Jingpo Zhao

Proceedings Volume 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment; 71281L (2008) https://doi.org/10.1117/12.806724
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

Abstract

FIR filter has some advantages, such as system stability, simple implement, and linear phase. It has been widely used in digital signal processing and other relative fields. Clonal selection algorithm has been applied successfully in solving problems like memory acquisition, multi-modal optimization and traveling salesman problem. This paper proposes a novel FIR filter design method. It combines clonal selection algorithm and window function method to achieve optimization. In the design process, float coding is adopted to increase the convergence precision. Some simulation experiments are carried out to verify the performance of the presented algorithm. The results show that the introduced method is able to design some FIR filter which is difficult for other methods. The filter design approach discussed in this paper is universal and easy to implement.

Citation Download Citation

Qiusheng Wang, Shaokun Gao, and Jingpo Zhao "A novel FIR filter design based on clonal selection algorithm", Proc. SPIE 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment, 71281L (13 October 2008); https://doi.org/10.1117/12.806724

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