• Title/Summary/Keyword: Demapping

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An Interleaved SM-MIMO Scheme for Integrated Mobile Satellite Systems (위성/지상 통합 이동통신시스템을 위한 인터리빙 SM-MIMO 기법)

  • Jin, Xiangguang;Kim, Sooyoung;Hong, Tae Chul;Ku, Bon-Jun
    • Journal of Satellite, Information and Communications
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    • v.8 no.3
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    • pp.25-31
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    • 2013
  • In this paper, a new interleaving method for spatially-multiplexed multi-input-multi-output (SM-MIMO) scheme in an integrated mobile satellite and terrestrial system is proposed. In the proposed scheme, the transmitted bits for satellite path are interleaved in an innovative way to make sure that bits multiplied with different channel gains will be located alternatively in one received codeword after demapping, in order to compensate the performance degradation due to high-correlation of the satellite path. In addition, the interleaver can be implemented in a computationally efficient way and with the minimum time delay.

Performance Enhancement by Scaling Soft Bit Information of APSK (APSK 변조 방식에 대한 연판정 출력의 스케일링을 통한 성능 개선)

  • Zhang, Meixiang;Kim, Sooyoung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38C no.10
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    • pp.858-866
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    • 2013
  • In the DVB-S2, which is the technical specification of the second generation digital video broadcasting via satellite, APSK modulation scheme along with LDPC coding schemes are defined. APSK is a multi-lelvel PSK modulation scheme and decoding of LDPC coded signal requires soft decision information. Therefore, the APSK demodulator at the receiver should have capability of estimating soft information. In this paper, we introduce a method to estimate soft information by using simple distance estimation, and show that this method overestimates the soft information. Subsequently, this overestimated soft information leads to performance degradation. In order to overcome this problem, we propose a scaling method to improve the performance at the receiver In addition, we show that the proposed scaling scheme enables us to estimate the soft information with linear order complexity and produce the performance close to the maximum likelihood detection.