• Title/Summary/Keyword: Frequency-Offset Estimation

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An Efficient Symbol Timing Synchronization Scheme for IEEE 802.11n MIMO-OFDM based WLAN Systems (IEEE 802.11n MIMO-OFDM 기반 무선 LAN 시스템을 위한 효율적인 심볼 동기 방법)

  • Cho, Mi-Suk;Jung, Yun-Ho;Kim, Jae-Seok
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.46 no.5
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    • pp.95-103
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    • 2009
  • An efficient symbol time synchronization scheme for IEEE 802.11n MIMO-OFDM based WLAN systems using cyclic shift diversity (CSD) preamble is proposed. CSD is used to prevent unintentional beamforming when the same preamble signal is transmitted through transmit antennas. However, it is difficult to find a proper starting-point of the OFDM symbol with the conventional algorithms because of time offset by multi-peaks which are result from cross-correlation of received CSD preamble with a known short training symbol. In addition, the performance of symbol time sync. is affected by AGC and packet detection position. In this paper, an optimal symbol time synch. algorithm which is composed of the boundary detection scheme between LTS and OFDM symbols, the verification scheme for enhancement of boundary detection accuracy, and the SNR-varying threshold estimation scheme is proposed. Simulation result show that the proposed algorithm has performance gains of 4.3dB in SNR compared to the conventional algorithms at the rate of 1% sync. failure probability for $2{\times}2$ MIMO-OFDM system and 18dB at 0.1% when maximum frequency offset exists. It also can be applied to $4{\times}4$ MIMO-OFDM system without any modification. Hence, it is very suitable for MIMO-OFDM WLAN systems using CSD preamble.

A Color Image Coding by Estimating Spectral Correlation Based on Wavelet Transform (웨이블렛 변환 기반 스펙트럴 상관성 추정에 의한 칼라 영상 부호화)

  • Kwak, No-Yoon;Jeong, Dae-Gwon;Hwang, Byong-Won
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.37 no.1
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    • pp.49-58
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    • 2000
  • This paper presents a new color Image coding method which estimates color component Images from luminance image using spectral correlation m wavelet transformed domain More specifically, the wavelet transform is performed to the luminance image(Y), and then, for an efficient quad-tree division to encompass the varying block size, a cost function IS defined using high frequency coefficients generated by wavelet decomposition Next, a scale factor and an offset factor for each the block to minimize the estimation error between luminance image(Y) and R, B Images, are iteratively calculated With respect to the varying block size With associated cost function.

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