一种基于遗传算法的混合滤波器组设计方法  

A Method of Hybrid Filter Banks Design Based on Genetic Algorithm

作　　者：谭富春[1] 吕幼新[1] 杨皓翔[1] 

机构地区：[1]电子科技大学电子工程学院,成都611731

出　　处：《现代雷达》2015年第7期26-29,共4页Modern Radar

摘　　要：针对可满足近似完全重构的双通道混合滤波器组,其中高阶数的模拟滤波器一般不容易设计优化。采用遗传算法设计5阶模拟分解滤波器,并基于逆快速傅里叶变换实现数字综合滤波器的设计优化以滤除掉镜像频谱,保证近似完全重构。文中设计了由5阶模拟分解滤波器和32阶数字综合滤波器组成的混合滤波器组,仿真结果表明:可以实现的最大失真误差为4.761 8×10-11d B,平均失真误差为-9.2×10-14d B,最大混叠误差为-154 d B,平均混叠误差为-200 d B,可满足24 bits的模数转换器系统的要求。High-order analog filter is difficult to design and optimize for designing two-channel hybrid filter banks which meet the need of near of perfect reconstruction. Genetic algorithm was used in this paper to design 5-order analog analysis filter. Moreover,the design and optimization of digital synthesis filters in order to filter the mirror spectrum was realized by it which ensure near perfect reconstruction based on IFFT. Hybrid filter banks which consist of 5-order analog analysis filters and 32-order digital synthesis filters were designed in this paper. Maximum distortion error of 4. 761 8 × 10-11 d B,average distortion error of-9. 2 × 10-14 d B,maximum aliasing error of-150 d B and average error of-200 d B can be achieved in the hybrid filter banks according to the simulation results.The newly designed hybrid filter banks to meet the requirement of 24 bits analog-to-digital converter systems well is concluded.

关 键 词：混合滤波器组 遗传算法 失真误差 混叠误差 

分 类 号：TN713[电子电信—电路与系统]