• Title/Summary/Keyword: Hybrid Adaptive Array Antenna

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DSM Hybrid Technique Using Antenna Array (배열안테나 기반의 DSM 하이브리드 방식)

  • Ryu, Kil-Hyen;Kim, Kwang-Tae
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.47 no.7
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    • pp.80-84
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    • 2010
  • A novel hybrid antenna array system for the code division multiple access (CDMA) using the diversity and beamforming technique has been proposed which is called as a dynamic selection method (DSM). Through the derived outage probability analysis, we have shown that the proposed DSM technique can give benefit over the conventional diversity-only or beamforming-only system.

Study on CGM-LMS Hybrid Based Adaptive Beam Forming Algorithm for CDMA Uplink Channel (CDMA 상향채널용 CGM-LMS 접목 적응빔형성 알고리듬에 관한 연구)

  • Hong, Young-Jin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.9C
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    • pp.895-904
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    • 2007
  • This paper proposes a robust sub-optimal smart antenna in Code Division Multiple Access (CDMA) basestation. It makes use of the property of the Least Mean Square (LMS) algorithm and the Conjugate Gradient Method (CGM) algorithm for beamforming processes. The weight update takes place at symbol level which follows the PN correlators of receiver module under the assumption that the post correlation desired signal power is far larger than the power of each of the interfering signals. The proposed algorithm is simple and has as low computational load as five times of the number of antenna elements(O(5N)) as a whole per each snapshot. The output Signal to Interference plus Noise Ratio (SINR) of the proposed smart antenna system when the weight vector reaches the steady state has been examined. It has been observed in computer simulations that proposed beamforming algorithm improves the SINR significantly compared to the single antenna case. The convergence property of the weight vector has also been investigated to show that the proposed hybrid algorithm performs better than CGM and LMS during the initial stage of the weight update iteration. The Bit Error Rate (BER) characteristics of the proposed array has also been shown as the processor input Signal to Noise Ratio (SNR) varies.