[1]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.[doi:10.3969/j.issn.1001-0505.2012.02.006]
 Yu Jing,Wu Lenan,Jin Yi.QPSO-based auto-design of digital impacting filters[J].Journal of Southeast University (Natural Science Edition),2012,42(2):224-228.[doi:10.3969/j.issn.1001-0505.2012.02.006]
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基于量子粒子群优化的数字冲击滤波器自动设计()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
42
期数:
2012年第2期
页码:
224-228
栏目:
信息与通信工程
出版日期:
2012-03-20

文章信息/Info

Title:
QPSO-based auto-design of digital impacting filters
作者:
余静 吴乐南 靳一
东南大学信息科学与工程学院,南京 210096
Author(s):
Yu Jing Wu Lenan Jin Yi
School of Information Science and Engineering, Southeast University,Nanjing 210096, China
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
Keywords:
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
分类号:
TN911
DOI:
10.3969/j.issn.1001-0505.2012.02.006
摘要:
为了提高数字冲击滤波器设计的效率,提出了一种基于QPSO算法的优化设计方法.首先根据EBPSK通信系统中数字冲击滤波器的特殊滤波机理,在考虑有限字长效应的情况下对数字冲击滤波器进行建模,然后设计出合理的优化变量、目标函数和约束条件, 并利用QPSO算法的全局搜索能力和惩罚函数法的约束处理机制设计数字冲击滤波器.仿真结果表明:种群适应度值能够逐步达到收敛,从而保证了寻优结果的最优性; 设计得到的滤波器幅频响应在中心频率处呈现出极窄的陷波-选频特性,并可将EBPSK调制信号的微弱相位跳变转化为明显的幅度冲击,有利于解调.与已有的手调滤波器相比,该设计方法快速可靠,可节约0.3~0.5dB的信噪比增益.
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 0.5dB.

参考文献/References:

[1] 李建华,殷福亮.设计IIR数字滤波器的遗传优化算法[J].通信学报,1996,17(3):1-7.
  Li Jianhua,Yin Fuliang.Genetic optimization algorithm for designing IIR digital filter[J].Journal of China Institute of Communications,1996,17(3):1-7.(in Chinese)
[2] 方伟.群体智能算法及其在数字滤波器优化设计中的应用[D].无锡:江南大学信息工程学院,2008.
[3] Deczky A G.Synthesis of recursive digital filters using the minimum P-error criterion[J].IEEE Trans Audio Electroacoust,1972,20(4):257-263.
[4] Shaw A K.Optimal design of digital IIR filters by modeling fitting frequency response data[J].International Symposium on Circuits and Systems,1993,42(11):475-478.
[5] Chen X,Parks T W.Design of IIR filters in the complex domain[J].IEEE Trans Acoustic,Speech and Signal Processing,1990,38(6):910-920.
[6] 戴朝华,陈维荣,朱云芳,等.IIR数字滤波器设计的搜寻者优化算法[J].西南交通大学学报,2009,44(6):871-876.
  Dai Chaohua,Chen Weirong,Zhu Yunfang,et al.IIR digital filter design via seeker optimization algorithm[J].Journal of Southwest Jiaotong University,2009,44(6):871-876.(in Chinese)
[7] 冯熳,高鹏,吴乐南.超窄带调制信号的特殊滤波分析与仿真[J].东南大学学报:自然科学版,2010,40(2):227-230.
  Feng Man,Gao Peng,Wu Lenan.Analysis and simulation of special filtering based on ultra narrow band modulated signal[J].Journal of Southeast University:Natural Science Edition,2010,40(2):227-230.(in Chinese)
[8] 马力,冯熳,吴乐南.EBPSK数字接收滤波器设计[J].科技创新导报,2008(28):28-29.
  Ma Li,Feng Man,Wu Lenan.Design of EBPSK digital filter[J].Science and Technology Innovation Herald,2008(28):28-29.(in Chinese)
[9] 吴乐南.超窄带高速通信进展[J].自然科学进展,2007,17(11):143-149.
  Wu Lenan.Progress in ultra narrow band communication[J].Progress in Natural Science,2007,17(11):143-149.(in Chinese)
[10] 张士凯,吴乐南.EBPSK调制波的正交性及功率谱分析[J].应用科学学报,2008,26(2):127-131.
  Zhang Shikai,Wu Lenan.PSD analysis of EBPSK modulated signals[J].Journal of Applied Sciences,2008,26(2):127-131.(in Chinese)
[11] Kennedy J,Eberhart R.Particle swarm optimization[C] //Proceedings of IEEE International Conference on Neural Networks.Perth,WA,Australia,1995:1942-1948.
[12] 高鹏.超窄带接收机冲击滤波器研究[D].南京:东南大学信息科学与工程学院,2010.

备注/Memo

备注/Memo:
作者简介: 余静(1988—), 女,硕士生; 吴乐南(联系人),男,博士,教授,博士生导师,wuln@seu.edu.cn.
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).
引文格式: 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. [doi:10.3969/j.issn.1001-0505.2012.02.006]
更新日期/Last Update: 2012-03-20