东南大学学报（自然科学版）2012，Vol.42Issue(2)：224-228,5.DOI:10.3969/j.issn.1001-0505.2012.02.006
基于量子粒子群优化的数字冲击滤波器自动设计
QPSO-based auto-design of digital impacting filters
摘要
Abstract
To improve the efficiency of designing digital impacting filters, a novel method based on the quantum-behaved particle swarm optimization (QPSO) algorithm is proposed. First, according to the special filtering mechanism of the digital impacting filter in the communication system of extended binary phase shift keying (EBPSK), the model of the digital impacting filter is built considering the effect of finite word length. Then the optimization variables, the objective function and the constraint conditions are designed. The global search ability of the QPSO algorithm and the constraint mechanism of the penalty method are utilized to design the digital impacting filter. The simulation results show that the fitness value is gradually converged to make sure that the optimization results are optimal. The amplitude response of the designed filter matches the digital impacting filter's characteristic of notch-select frequency in the carrier frequency, which can transform the phase hopping of the EBPSK signal into the amplitude impact so as to be good for demodulation. Compared with the existing impacting filters by manual design, the proposed design method is fast and reliable. It can save the signal-to-noise (SNR) gain of 0. 3 to 0. 5 dB.关键词
数字冲击滤波器/QPSO算法/EBPSK信号/有限字长效应/信噪比Key words
digital impacting filter/ quantum-behaved particle swarm optimization ( QPSO) algorithm / extended binary phase shift keying (EBPSK) signal/ effect of finite word length/ signal-to-noise ratio分类
信息技术与安全科学引用本文复制引用
余静,吴乐南,靳一..基于量子粒子群优化的数字冲击滤波器自动设计[J].东南大学学报（自然科学版）,2012,42(2):224-228,5.基金项目
国家自然科学基金资助项目(60872075)、国家高技术研究发展计划(863计划)资助项目(2008AA01Z227). （60872075）
