Low Error Down Sampling Filter for Mobile System
Abdulhassan Nasayif Aldujaili

Dr. Abdulhassan Nasayif Aldujaili, Lecturer, Ministry of High Education and Scientific Research, Debuty Dean of Dijlah University College, Dora (Baghdad) – 00964, Iraq.
Manuscript received on September 10, 2016. | Revised Manuscript received on September 24, 2016. | Manuscript published on November 05, 2016. | PP: 8-12 | Volume-6 Issue-5, November 2016. | Retrieval Number: E2917116516/2016©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley
© 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: This paper present, the design and simulation of decimation filter to work with wireless mobile system under software defined radio (SDR) technology. The decimation filter is designed with three stages of decimation filter that consists of Cascaded Integrated Comb (CIC) decimation filter, Compensating Finite Impulse Response (CFIR) filter and Programmable Finite Impulse Response (PFIR) filter. The three cascaded filters could operate to reduce the intermediate frequency from 100MHz to 100 KHz baseband signal in order to more processing. System Generator offers the multiplier less Multiply-Accumulate (MAC) Finite Impulse Response block which reduce the implementation area. The three filters has been verified in investigated by mean of fixed point and floating point values using matlab 7.4 and Xilinxe Sys. Gen. The simulation and verification results achieved minimum error of approximately 2×10-4 . Therefore, the introduced techniques support the current and future wireless generation in intermediate frequency up to 100 MHz.
Keywords: Decimation Filter, SDR, MATLAB, System Generator