• DocumentCode
    2127414
  • Title

    FPGA implementation of Kalman low-pass filter for applications in sigma-delta (Σ-Δ) demodulation

  • Author

    Charoensak, Charayaphan ; Abeysekera, Saman S.

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
  • fYear
    2003
  • fDate
    27-29 Aug. 2003
  • Firstpage
    219
  • Lastpage
    223
  • Abstract
    Over the last few decades, the use of sigma-delta (Σ-Δ) modulators has moved into mainstream applications in signal processing such as A/D, D/A, and communication. Σ-Δ modulators produce a single, or few, bit output, making them suitable for realization in VLSI circuits. For improved signal-to-quantization-noise ratio, higher order modulators, such as multi-loop and multi-stage architectures, are commonly used. The quantization noise behavior of these higher order modulators is well understood. Based on these quantization noise characteristics, various demodulator architectures, such as optimal FIR filter, sinc filter, and Laguerre filter are reported in the literature. An efficient FPGA (field programmable gate array) implementation of a Kalman recursive low-pass filter suitable for application in Σ-Δ demodulation is reported. FPGA synthesis results, as well as filter performance, as compared to previous designs for sinc filters and Laguerre filters, are given.
  • Keywords
    FIR filters; IIR filters; Kalman filters; VLSI; demodulation; field programmable gate arrays; integrated circuit design; low-pass filters; quantisation (signal); recursive filters; sigma-delta modulation; signal processing; FIR filter; FPGA synthesis; Kalman filter; Kalman low-pass filter; Laguerre IIR filter; Laguerre filter; VLSI circuits; field programmable gate array; recursive filter; sigma-delta demodulation; sigma-delta modulators; signal processing; signal-to-quantization-noise ratio; sinc filter; Circuit noise; Delta-sigma modulation; Demodulation; Field programmable gate arrays; Finite impulse response filter; Kalman filters; Low pass filters; Quantization; Signal processing; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems, 2003. SIPS 2003. IEEE Workshop on
  • ISSN
    1520-6130
  • Print_ISBN
    0-7803-7795-8
  • Type

    conf

  • DOI
    10.1109/SIPS.2003.1235672
  • Filename
    1235672