DocumentCode
2170522
Title
An efficient design of FPGA-based sample rate converting filter in Software Defined Radio
Author
Yuze Zhou ; Chunjing Hu ; Tao Peng
Author_Institution
Wireless Signal Process. & Network Lab., Key Lab. of Universal Wireless Commun., Beijing, China
fYear
2013
fDate
17-19 Nov. 2013
Firstpage
634
Lastpage
638
Abstract
In order to be compatible with different sample rate requirements in communication systems, Software Defined Radio (SDR) platform must support flexible sample rate conversion. In this paper, a flexible and efficient design of FPGA-based fractional sample rate converting (SRC) filter is proposed. A folded systolic FIR structure with time-varying coefficients is introduced to lower hardware resource consumption and to relieve the timing requirement of critical path. A parameterized design methodology for high order fractional SRC filter is presented to improve the adaptability of design. A high order LTE SRC filter is implemented on a FPGA-based SDR platform for verification, and the efficiencies and the correctness are reported in the test results.
Keywords
FIR filters; Long Term Evolution; field programmable gate arrays; flexible electronics; sampled data filters; software radio; time-varying filters; timing; FPGA-based SDR; FPGA-based fractional sample rate converting filter design; critical path timing requirement; flexible sample rate conversion; folded systolic FIR structure; hardware resource consumption; high order LTE SRC filter; high order fractional SRC filter; parameterized design methodology; software defined radio; time-varying coefficients; Adders; Design methodology; Field programmable gate arrays; Finite impulse response filters; Hardware design languages; OFDM; Shift registers; FPGA; Fractional sample rate conversion; Parameterized design; Time-varying coefficients;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Technology (ICCT), 2013 15th IEEE International Conference on
Conference_Location
Guilin
Type
conf
DOI
10.1109/ICCT.2013.6820452
Filename
6820452
Link To Document