A Low-Complexity Uniform and Non-uniform Digital Filter Bank Based on an Improved Coefficient Decimation Method for Multi-standard Communication Channelizers

被引:25
作者
Ambede, Abhishek [1 ]
Smitha, K. G. [1 ]
Vinod, A. P. [1 ]
机构
[1] Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore
关键词
Coefficient decimation; FIR filter bank; Low complexity; Multi-standard channelization;
D O I
10.1007/s00034-012-9532-9
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
It has been shown in literature that the coefficient decimation (CD) techniques can be efficiently used to realize low-complexity finite impulse response (FIR) filters with flexible frequency responses. In this paper, we propose a novel filter bank (FB) design technique based on the combination of the conventional coefficient decimation method (CDM) and the modified coefficient decimation method recently proposed by us. In the proposed FB, subbands of desired bandwidths are obtained by the spectral subtraction of the lowpass and highpass frequency responses obtained after performing CD operations on the prototype filter, using appropriate decimation factors. The proposed FB that provides uniform as well as non-uniform subbands can be used for multi-standard channelization in wireless communication receivers. We show that the proposed FB has a significantly lower complexity along with superior stopband and transition band characteristics when compared with the conventional CDM-based progressive decimation filter bank (PDFB). The design example shows that the proposed FB offers 74 % reduction in multiplication complexity over the PDFB, when used for non-uniform multi-standard channelization with a fixed frequency channel distribution. If the same FB is used for multi-standard channelization with variable locations of the frequency channels, a substantial 95.67 % reduction in multiplication complexity is achieved over the PDFB.
引用
收藏
页码:2543 / 2557
页数:15
相关论文
共 12 条
[1]  
Ambede A, 2012, 2012 35TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP), P658, DOI 10.1109/TSP.2012.6256379
[2]  
[Anonymous], 2007, Digital Signal Processing
[3]   ON COMPUTATIONAL-COMPLEXITY IN DIGITAL TRANSMULTIPLEXER FILTERS [J].
BELLANGER, MG .
IEEE TRANSACTIONS ON COMMUNICATIONS, 1982, 30 (07) :1461-1465
[4]  
Hentschel T, 2002, ANN TELECOMMUN, V57, P386
[5]  
Kim C, 2000, IEEE VTS VEH TECHNOL, P2862, DOI 10.1109/VETECF.2000.886841
[6]  
Lin M., 2010, 2010 IEEE 17 INT C T, P857
[7]   A New Flexible Filter Bank for Low Complexity Spectrum Sensing in Cognitive Radios [J].
Lin, Mengda ;
Vinod, A. P. ;
See, Chong Meng Samson .
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 2011, 62 (02) :205-215
[8]   Coefficient decimation approach for realizing reconfigurable finite impulse response filters [J].
Mahesh, R. ;
Vinod, A. P. .
PROCEEDINGS OF 2008 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-10, 2008, :81-84
[9]   A Low-Complexity Flexible Spectrum-Sensing Scheme for Mobile Cognitive Radio Terminals [J].
Mahesh, R. ;
Vinod, A. P. .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2011, 58 (06) :371-375
[10]  
Rakesh V., 2011, 2011 INT S EL SYST D, P77