Numerically stable and efficient algorithm for vector channel parameter and frequency offset estimation

  • Authors:

  • Chong Hyun Lee;Jae Sang Cha;Kyungsup Kwak;Jae Moung Kim

  • Affiliations:

  • Department of Electronics, Seokyeong University Seoul, Republic of Korea;Department of Media Technology, Seoul National University of Technology, Seoul, Republic of Korea;UWB Wireless Communications Research Center (UWB-ITRC), Inha University, Republic of Korea;Graduate School of Information Technology and Telecommunication, Inha University, Incheon, Republic of Korea

  • Venue:
  • Journal of Computational and Applied Mathematics - Special issue: The international conference on computational methods in sciences and engineering 2004
  • Year:
  • 2006

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Abstract

In this paper, we present a novel and numerically efficient algorithm for vector channel and calibration vector estimation, which works when frequency offset error caused by either unstable oscillator or Doppler effect is present in Spread Spectrum antenna system. We propose an estimation algorithm based on Gauss-Seidal algorithm rather than using eigen-decomposition or SVD in computing eigenvalues and eigenvectors at each iteration. The algorithm is based on the two-step procedures, one for estimating both channel and frequency offset and the other for estimating the unknown array gain and phase. Consequently, estimates of the DOAs, the multi-path impulse response of the reference signal source, and the carrier frequency offset as well as the calibration of antenna array are provided. The analytic performance improvement in multiplications number is presented. The performance of the proposed algorithm is investigated by means of computer simulations. Throughout the analytic and computer simulation, we show that the proposed algorithm reduces the number of multiplications by order of one.