Computational and Mathematical Methods in Medicine
Volume 2012 (2012), Article ID 651564, 9 pages
http://dx.doi.org/10.1155/2012/651564
Research Article

Optimization and Implementation of Scaling-Free CORDIC-Based Direct Digital Frequency Synthesizer for Body Care Area Network Systems

Ying-Shen Juang,1 Lu-Ting Ko,2 Jwu-E. Chen,2 Tze-Yun Sung,3 and Hsi-Chin Hsin4

1Department of Business Administration, Chung Hua University, Hsinchu City 300-12, Taiwan
2Department of Electrical Engineering, National Central University, Chungli City 320-01, Taiwan
3Department of Microelectronics Engineering, Chung Hua University, Hsinchu City 300-12, Taiwan
4Department of Computer Science and Information Engineering, National United University, Miaoli 360-03, Taiwan

Received 11 August 2012; Accepted 15 September 2012

Academic Editor: Sheng-yong Chen

Copyright © 2012 Ying-Shen Juang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Coordinate rotation digital computer (CORDIC) is an efficient algorithm for computations of trigonometric functions. Scaling-free-CORDIC is one of the famous CORDIC implementations with advantages of speed and area. In this paper, a novel direct digital frequency synthesizer (DDFS) based on scaling-free CORDIC is presented. The proposed multiplier-less architecture with small ROM and pipeline data path has advantages of high data rate, high precision, high performance, and less hardware cost. The design procedure with performance and hardware analysis for optimization has also been given. It is verified by Matlab simulations and then implemented with field programmable gate array (FPGA) by Verilog. The spurious-free dynamic range (SFDR) is over 86.85 dBc, and the signal-to-noise ratio (SNR) is more than 81.12 dB. The scaling-free CORDIC-based architecture is suitable for VLSI implementations for the DDFS applications in terms of hardware cost, power consumption, SNR, and SFDR. The proposed DDFS is very suitable for medical instruments and body care area network systems.