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基于輔助符號的非線性自干擾抵消算法及其簡化實現(xiàn)

王丹,  黃開枝,  李云洲

王丹, 黃開枝, 李云洲. 基于輔助符號的非線性自干擾抵消算法及其簡化實現(xiàn)[J]. 電子與信息學(xué)報, 2017, 39(1): 24-30. doi: 10.11999/JEIT160291
引用本文: 王丹, 黃開枝, 李云洲. 基于輔助符號的非線性自干擾抵消算法及其簡化實現(xiàn)[J]. 電子與信息學(xué)報, 2017, 39(1): 24-30. doi: 10.11999/JEIT160291
WANG Dan, HUANG Kaizhi, LI Yunzhou. Auxiliary Symbol-based Nonlinear Self-interference Cancellation Algorithm and Simplified Implementation[J]. Journal of Electronics & Information Technology, 2017, 39(1): 24-30. doi: 10.11999/JEIT160291
Citation: WANG Dan, HUANG Kaizhi, LI Yunzhou. Auxiliary Symbol-based Nonlinear Self-interference Cancellation Algorithm and Simplified Implementation[J]. Journal of Electronics & Information Technology, 2017, 39(1): 24-30. doi: 10.11999/JEIT160291

基于輔助符號的非線性自干擾抵消算法及其簡化實現(xiàn)

doi: 10.11999/JEIT160291 cstr: 32379.14.JEIT160291
  • 2.

    (解放軍信息工程大學(xué)國家數(shù)字交換系統(tǒng)工程技術(shù)研究中心 鄭州 450002) ②(清華大學(xué)信息技術(shù)研究院無線與移動通信技術(shù)研究中心 北京 100084)

基金項目: 

國家973計劃項目(2013CB329002)，國家863計劃項目(2014AA01A703)，國家重大專項(2014ZX03003002-002)，新世紀(jì)優(yōu)秀人才支持計劃(NCET-13-0321)，國家自然科學(xué)基金創(chuàng)新群體(61321061)

Auxiliary Symbol-based Nonlinear Self-interference Cancellation Algorithm and Simplified Implementation

  • 2.

    (National Digital Switching System Engineering &

Funds: 

The National 973 Program of China (2013CB329002), The National 863 Program of China (2014AA01A703), The National Major Project (2014ZX03003002-002), The Program for New Century Excellent Talents in University (NCET-13-0321), The National Natural Science Foundation of Innovation Group (61321061)

  • 摘要: 同頻同時全雙工是第5代(5G)通信關(guān)鍵技術(shù)之一，數(shù)字自干擾抵消算法是其重要研究方向。針對非線性數(shù)字自干擾抵消算法中，失真系數(shù)估計受到自干擾信道估計誤差的影響這一問題，該文提出一種基于輔助符號的非線性自干擾抵消算法，通過對輔助符號做自干擾抵消，將信道估計符號的失真誤差映射到其抵消結(jié)果中并提取出來，從中估計失真系數(shù)。接著針對算法開銷問題提出一種簡化實現(xiàn)方案。仿真結(jié)果顯示，接收自干擾信號為-5 dBm時，算法可將自干擾非線性失真分量抵消至約-100 dBm，且性能隨接收自干擾功率降低而提高。
    Abstract: In-band full duplex is a key concept brought up in 5G, and digital Self-Interference (SI) cancellation has become an important field attracting much attention. SI channel estimation error introduced by nonlinear distortion leads to deleterious effect on the accurate estimation of distortion coefficient. This paper proposes a nonlinear SI cancellation algorithm based on an auxiliary symbol. The channel estimation error is mapped into cancellation residuals by performing SI cancellation for the designed auxiliary symbol, and then extracted to be an independent attributor for distortion coefficient estimation. A simplified implementation is proposed further for reducing the overhead of the algorithm. Simulation results show that the nonlinear SI component is suppressed to about -100 dBm with -5 dBm SI power received. In addition, the lower the received SI power is, the better the performance tends to be.
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出版歷程
  • 收稿日期:  2016-03-28
  • 修回日期:  2016-09-06
  • 刊出日期:  2017-01-19

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