Digital Down Converter System improving the computational complexity

복잡도를 개선한 Digital Down Converter 시스템

  • 문기탁 (충북대학교 전자정보대학 전파통신공학과) ;
  • 홍무현 (충북대학교 전자정보대학 전파통신공학과) ;
  • 이정석 ((주)삼우 이.피.씨) ;
  • 김경석 (충북대학교 전자정보대학 전파통신공학과)
  • Received : 2010.06.01
  • Published : 2010.06.30

Abstract

Multi-standard, multi-band, multi-service system to ensure a flexible interface between the SDR (Software Defined Radio) technology for the implementation of the Stability and Low-Power, Low-Calcualrion DDC (Digital Down Conversion) technology is essential. DDC technology consists of a digital channel filter. This is a typical digital filter because of the limited fisheries are vulnerable to overflow and rounding errors are drawbacks. In this paper, we overcome this disadvantage, we propose the structure of the DDC. The way WDF (Wave Digital Filter) Structural rounding error due to the structural resistance to noise. Therefore, This is the useful structure when the filter coefficients's word length is short. In addition, since IIR filters based on FIR filters based on the amount of computation is reduced because fewer than filter's tap. The proposed structure is used in DDC that CIC (Cascaded Integrator Comb) filter, WDF, IFOP (Interpolated Fourth-Order Polynomials) were analyzed with respect to, the results were confirmed by computer simulation.

다중 규격, 다중 대역, 다중 서비스 시스템간의 유연한 인터페이스를 보장하기 위한 SDR(Software Defined Radio)기술의 구현을 위해서는 안정성 및 저전력, 저연산량의 DDC(Digital Down Conversion)기술이 필수적이다. DDC 기술은 디지털 채널 필터로 이루어진다. 이 때 일반적인 디지털 필터는 유한어장으로 인하여 오버플로우나 반올림 오차에 취약한 단점이 있다. 이에 본 논문에서는 이러한 단점을 보완하는 DDC 구조를 제안하였다. 그 방법으로 WDF(Wave Digital Filter)를 이용한 구조는 그 구조상 반올림 오차에 의한 잡음에 강하다. 따라서 필터계수의 단어길이가 짧을 경우 유용하게 사용된다. 또한 IIR기반의 필터이기 때문에 FIR기반의 필터보다 탭수가 줄어들므로 연산량이 줄어든다. 제안한 DDC구조에 사용된 CIC(Cascaded Integrator Comb) 필터, WDF, IFOP(Interpolated Fourth-Order Polynomials)에 대하여 분석하였으며, 모의실험을 통하여 결과를 확인하였다.

Keywords

References

  1. Tianqi Wang "Sample rate Conversion technology in software defined radio" Electrical and Computer Engineering, 2006 CCECE '06 Canadian Conference. May 2006 Page(s):1355-1358
  2. H SP50214 Data S heet, Harris Semiconductor , 1997.
  3. J. Kaiser and R. Hamming, "Sharpening the response of a symmetric nonrecursive filter by Multiple use of the same filter", IEEE Trans. Acoust., Speech, Signal Processing, col. ASSP-25, pp. 415-422, Oct. 1997
  4. H. J. Oh, S. Kim, G. Choi, and Y. H. Lee, "On the use of Interpolate second-order polynomials for efficient filter design in programmable downconvesion", IEEE Journal on selected areas in communications, vol. 17, pp. 551-560, April 1999. https://doi.org/10.1109/49.761035
  5. EUGENE B. HOGENAUER "An Economical Class of Digital Filters for Decimation and Interpolation" Acoustics, Speech ans Signal Processing. IEEE Transactions Volume 29, Issue2, Apr 1981 Page(s):155-162 https://doi.org/10.1109/TASSP.1981.1163535
  6. A.Y. Kwentus, Z. Jiang, and A. N. Willson, Jr.,"Application of filter sharpening to cascaded integer-comb decimation filters", IEEE Trans. Signal Processing, vol. 45, pp. 457-467, Feb. 1997 https://doi.org/10.1109/78.554309
  7. Solla, T.; Vainio, O."Comparison of programmable FIR filter architectures for low power", Solid-State Circuits Conference, 2002. ESSCIRC 2002. Proceedings of the 28th European, Page(s): 759 - 762
  8. 장영범, 이원상, 유현중, "4차 보간 필터를 사용한 데시메이션 필터의 통과대역/저지대역 특성 개선", 韓國通信學會論文誌, Vol.29 No.6C, 2004
  9. A. Fettweis, "Wave digital filters: theory and practice", Proc IEEE 74 (2), 1986.02 270-327 https://doi.org/10.1109/PROC.1986.13458
  10. S.A. Samada,*,A.Hussaina,D.Isab,"Wave digital filters with minimum multiplier for discrete Hilbert transformer realization" ScienceDirect, Sinal Processing 86(2006)3761-3768, 2006.04 https://doi.org/10.1016/j.sigpro.2006.03.005
  11. P.P. Vaidynathan, P.A, Regalia, S.K. Mitra, Design of doubly complementary IIR digital filters using a single complex allpass filter with multirate applications, IEEE Trans. Circ. And Systems, CAS-34(1987.04) 378-379