Invasive Weed Optimization-Based Optimally Designed High-Pass IIR Filter and Its FPGA Implementation

A meta-heuristic algorithm named as Invasive Weed Optimization (IWO) approach is considered in this paper for the design of infinite impulse response (IIR) high-pass filter (HPF) of order 8. This particular optimization technique is inspired by nature and it mainly depends on the colonizing characteristic feature of weeds. Unlike other optimization techniques, IWO converges fastly to the optimal solution and results in accurate solution parameters such as stopband attenuation, transition width, passband ripples (PBR), and stopband ripples (SBR). The optimally obtained coefficients are employed in the design of IIR HPF of order 8 which is realized in the Verilog hardware description language (HDL) and thus dumped on the field-programmable gate array (FPGA).

[1]  Aijia Ouyang,et al.  An efficient hybrid algorithm based on harmony search and invasive weed optimization , 2016, 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

[2]  Alan V. Oppenheim,et al.  Discrete-Time Signal Pro-cessing , 1989 .

[3]  Chaohua Dai,et al.  Seeker Optimization Algorithm for Digital IIR Filter Design , 2010, IEEE Transactions on Industrial Electronics.

[4]  Hossein Nezamabadi-pour,et al.  Filter modeling using gravitational search algorithm , 2011, Eng. Appl. Artif. Intell..

[5]  Durbadal Mandal,et al.  An optimally designed digital differentiator based preprocessor for R-peak detection in electrocardiogram signal , 2019, Biomed. Signal Process. Control..

[6]  Y. Ramu Naidu,et al.  A space transformational invasive weed optimization for solving fixed-point problems , 2018, Applied Intelligence.

[7]  Peter J. O'Shea,et al.  Digital Signal Processing: An Introduction with MATLAB and Applications , 2011 .

[8]  Caro Lucas,et al.  A novel numerical optimization algorithm inspired from weed colonization , 2006, Ecol. Informatics.

[9]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[10]  Sakti Prasad Ghoshal,et al.  A new design method using opposition-based BAT algorithm for IIR system identification problem , 2013, Int. J. Bio Inspired Comput..

[11]  S. P. Ghoshal,et al.  Digital stable IIR high pass filter optimization using PSO-CFIWA , 2012, 2012 IEEE Symposium on Humanities, Science and Engineering Research.

[12]  S. P. Ghoshal,et al.  Digital stable IIR low pass filter optimization using particle swarm optimization with improved inertia weight , 2012, 2012 Ninth International Conference on Computer Science and Software Engineering (JCSSE).

[13]  N. Karaboga,et al.  Design of minimum phase digital IIR filters by using genetic algorithm , 2004, Proceedings of the 6th Nordic Signal Processing Symposium, 2004. NORSIG 2004..

[14]  Sakti Prasad Ghoshal,et al.  Gravitation search algorithm: Application to the optimal IIR filter design , 2014 .