• Title/Summary/Keyword: antenna shuffling

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An Antenna Shuffling Scheme for DSTTD System Based on Post-processing Signal to Noise Ratio (수신 신호 대 잡음비에 기반한 안테나 셔플링을 적용 DSTTD 시스템)

  • Jung Sunghun;Shim Seijoon;Lee Chungyong;Youn Dae Hee
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.42 no.1
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    • pp.75-80
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    • 2005
  • A new antenna shuffling scheme for double space time transmit diversity is proposed. The proposed method obtains the shuffling pattern directly from the estimated channel by maximizing minimum post-processing signal to noise ratio(SNR), while the conventional method minimizes channel correlation. Since the minimum post-processing SNR is directly related with error performance, the proposed method shows better bit error rate performance than the conventional method. Monte Carlo simulations showed that the proposed scheme has more 3 dB SNR gain than the conventional scheme for 10/sup -3/ bit error rate in spatially correlated fadingcaused by a single cluster model.

Antenna Selection and Shuffling for DSTTD Systems with Correlated Transmit-Antenna (송신 안테나 사이에 상관관계가 있는 DSTTD 시스템에서 안테나 선택과 뒤섞는 기법)

  • Joung, Jin-Gon;Jeong, Eui-Rim;Lee, Yong-Hoon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.8C
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    • pp.767-774
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    • 2007
  • A new transmit antenna selection and shuffling($AS^2$) method for spatially correlated double space time transmit diversity(DSTTD) systems is proposed. The proposed method allows dumb antennas and the superposition of multiple signals at the same transmit antenna, whereas the conventional methods consider the antenna shuffling(AS) only. According to the simulation result, the proposed method provides a 1.8 dB signal-to-noise ratio(SNR) gain over the conventional methods for spatially correlated transmit antennas. Although the number of candidates for $AS^2$ is much higher than that of AS, it is found that the number of candidates for $AS^2$ can be reduced to 36 by using the characteristics and properties of preprocessing matrices, and among them, only 6 candidates are almost always chosen. Next, we empirically compare the bit-error-rate (BER) performance of the proposed method with the conventional spatial multiplexing(SM) technique with antenna selection. Simulation results show that the proposed method outperforms the SM technique.