• Title/Summary/Keyword: Recursive ICI Cancellation

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A Recursive ICI Cancellation Technique for Cooperative STBC-OFDM Systems with Carrier Frequency Offsets (반송파 주파수 옵셋을 갖는 상호협력 STBC-OFDM 시스템을 위한 반복적 ICI 제거 기법)

  • Kim, Yeong-Jun;Woo, Kyung-Soo;Yoo, Hyun-Il;Lee, Hee-Soo;Cho, Yong-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.10A
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    • pp.950-957
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    • 2007
  • In this paper, a recursive intercarrier interference (ICI) cancellation technique for cooperative space-time block coded orthogonal frequency division multiplexing (STBC-OFDM) with different carrier frequency offsets (CFOs) is proposed. Also, different CFOs existing in a cooperative STBC-OFDM system is shown to produce phase difference in the received signal, causing noise enhancement effect in the STBC decoding process. The performance degradation caused by the noise enhancement effect can be effectively reduced by a proposed ML-based recursive ICI cancellation technique. It is shown by computer simulation that the proposed recursive ICI cancellation technique is effective in reducing ICI, especially for STBC-OFDM systems with a large FFT size and large CFOs.

Low Complexity MMSE with Successive Interference Cancellation for OFDM Systems over Time-selective Channels (시변 채널 환경에서 OFDM 시스템을 위한 복잡도가 감소된 MMSE-SIC 등화기법)

  • Park, Ji-Hyun;Hwang, Seung-Hoon;Whang, Keum-Chan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.7A
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    • pp.743-750
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    • 2008
  • Orthogonal frequency division multiplexing (OFDM) is a attractive modulation scheme for high data rate transmission in frequency-selective channels. However, the time selectivity of wireless channel introduces intercarrier interference (ICI), and consequently degrades system performance. In this paper, we first propose a novel recursive algorithm for minimum mean squared error (MMSE) with successive interference cancellation (SIC). The proposed algorithm can significantly reduce the complexity of the MMSE-SIC scheme and achieve the same performance when optimal ordering is known. Also, the further reduced scheme of the proposed algorithm can be developed based on ICI properties, while preserving performance.