Design and Implementation of Dual-mode Programmable Decimation Filter for WCDM and GSM Systems
Majid S. Naghmash1, Faeza A. Abid2
1Dr. Faeza A. Abid Received her B.Sc. in Electrical and Electronics from the Faculty of Electrical Engineering, University of Technology Baghdad, Iraq in 1996, received the M.Sc. degree in Electronic engineering from Faculty of Electrical Engineering, University of Technology Baghdad, Iraq.
2Dr. Majid S. Naghmash, Received His Msc. degree in the satellite communication engineering from University of Technology Baghdad – Iraq in 2004 and Doctor of philosophy in wireless and mobile system from Universiti Sains Malaysia (USM) Malaysia
Manuscript received on December 08, 2014. | Revised Manuscript received on December 15, 2014. | Manuscript published on January 05, 2014. | PP: 168-173 | Volume-3 Issue-6, January 2014. | Retrieval Number: F2016013614/2014©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, the dual mode receiver for wide and narrow band wireless system is investigated. In the current wireless system like GSM and WCDMA, the receiver base station should extract the individual radio channels from digitized wideband signal at extremely high sampling rate. However, the base station receiver must be capable at the same time isolate multiple channels from different bandwidths equivalent to channel bandwidths of different communication principles. The key requirements of current wireless systems is the reconfigurability and low complexity. The reconfigure digital filter design based on decimation is proposed to support current systems and accelerate the transition to new wireless generation using SIMULINK block set environment in MATLAB program. To extract the pass band widths for different standards, an cascaded digital filter need to be used in this case. The experiments and simulation results shows an important improvement in the complexity reduction and power consumption over the conventional approach.
Keywords: SIMULIN, K MATLAB