DocumentCode :
2398695
Title :
Wordlength optimization of a pipelined FFT processor
Author :
Johansson, Stefan ; Shousheng He ; Nilsson, Peter
Author_Institution :
Dept. of Appl. Electron., Lund Univ., Sweden
Volume :
1
fYear :
1999
fDate :
1999
Firstpage :
501
Abstract :
This paper describes the optimization of the word lengths in an 8 k-points pipelined FFT processor. The word lengths can be freely chosen since the FFT is implemented as a full custom ASIC. According to the specification, input and output word lengths are 12 bits but improved performance on be achieved by using a longer wordlength internally. Increased wordlength means increased size, both for memory and arithmetic operations. Since the FFT processor uses large memories, especially in the early stages, it is especially important to keep wordlength short in the beginning of the pipeline. Finding a good trade-off between precision and size is a difficult problem and it is not reasonable to solve analytically. Simulations using a C-model are therefore used to find an acceptable solution. The simulations show that a good solution is obtained by starting with 12 bits and gradually increasing the wordlength up to 16 bits. The final result is rounded back to 12 bits. This is a good trade-off between precision and complexity
Keywords :
application specific integrated circuits; fast Fourier transforms; fixed point arithmetic; pipeline arithmetic; ASIC; C-model simulation; fixed-point arithmetic; pipelined FFT processor; wordlength optimization; Analytical models; Application specific integrated circuits; Arithmetic; Design optimization; Digital signal processing; Energy consumption; Large Hadron Collider; Pipelines; Quantization; White noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1999. 42nd Midwest Symposium on
Conference_Location :
Las Cruces, NM
Print_ISBN :
0-7803-5491-5
Type :
conf
DOI :
10.1109/MWSCAS.1999.867314
Filename :
867314
Link To Document :
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