Title :
Optimization of control parameter of Differential Evolution algorithm for efficient design of FIR filter
Author :
Chattopadhyay, S. ; Sanyal, S.K. ; Chandra, A.
Author_Institution :
Dept. of Electron. & Telecommun. Eng., Jadavpur Univ., Kolkata, India
Abstract :
Modern signal processing applications invoke various evolutionary algorithms in different areas such as aerodynamic shape optimization, pattern recognition, digital filter design, automated mirror design etc. Presently, Differential Evolution (DE) algorithm has proved to be quite efficient in these areas. Digital filters of various kinds can be designed using this particular evolutionary technique. In this paper, we have studied the effect of an important control parameter namely, the Weighting Factor, on the convergence speed of the DE algorithm, associated with the efficient design of low-pass FIR filter being used subsequently as a pulse-shaping filter in a QPSK modulated system. Finally, the optimized value of the Weighting Factor for this specific design problem has been suggested. Experimentally measured Eye diagrams confirm the optimized value.
Keywords :
FIR filters; evolutionary computation; low-pass filters; optimisation; quadrature phase shift keying; signal processing; FIR filter; QPSK; control parameter; differential evolution algorithm; digital filters; evolutionary algorithms; low-pass filter; optimization; pulse-shaping filter; signal processing; weighting factor; Algorithm design and analysis; Band pass filters; Convergence; Cost function; Filtering algorithms; Finite impulse response filter; Cost Function; DE; Eye diagram; Finite Impulse Response (FIR) filter; Pulse Shaping filter;
Conference_Titel :
Computer and Information Technology (ICCIT), 2010 13th International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4244-8496-6
DOI :
10.1109/ICCITECHN.2010.5723867