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基于KNN信道識別算法的無(wú)前后綴頻域均衡技術(shù)
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中國電子科技集團公司第五十四研究所

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重點(diǎn)實(shí)驗室基金(FFX22641X010)


Prefix-free and Suffix-free Frequency Domain Equalization Technology Based on KNN Channel Identification Algorithm
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    摘要:

    為了提高單載波頻域均衡(SC-FDE)系統的頻帶利用率和通信速率,提出了一種基于 KNN 信道識別算法的無(wú)前后綴頻域均衡技術(shù);該技術(shù)通過(guò)構建不同信道環(huán)境下帶有導頻的訓練數據集,根據訓練數據通過(guò)不同信道條件下的特征并使用KNN算法進(jìn)行分類(lèi),進(jìn)而確定信道類(lèi)型及信道最大多徑時(shí)延,通過(guò)信道最大多徑時(shí)延合理確定無(wú)前后綴重疊剪切頻域均衡算法的最優(yōu)重疊剪切長(cháng)度,進(jìn)而消除多徑干擾對無(wú)前后綴頻域均衡數據的影響,達到最優(yōu)解調性能;仿真表明: 基于KNN的重疊剪切算法與文獻推薦的50%重疊剪切法相比,性能基本一致,即在誤碼率為10-3的情況下,信噪比惡化不大于0.5 dB;此算法準確確定了最優(yōu)重疊長(cháng)度,減少了大量無(wú)效的重疊長(cháng)度,保證了多徑信道下系統的誤碼性能,達到性能和復雜度的平衡。

    Abstract:

    In order to improve the frequency band utilization and communication rate of single-carrier frequency domain equalization (SC-FDE) system, a prefix-free and suffix-free frequency domain equalization technology based on K-Nearest-Neighbors (KNN) channel identification algorithm is proposed.This technology constructs training data sets with pilots in different channel environments, and classifies them by using the KNN algorithm according to the characteristics of the training data under different channel conditions, and then determines the channel type and the maximum delay of the multipath channel.the optimal overlap-cut length of the frequency-domain equalization algorithm without prefix and suffix overlap-cut is reasonably determined by the maximum delay of the multipath channel, and then the in-fluence of multipath interference on the frequency domain equalization data without prefix and suffix is eliminated, and the optimal demodulation performance is achieved. The simulation shows that the KNN-based overlap-cut algorithm has basically the same performance compared with the 50% overlap-cut method recommended in the paper, that is, when the bit error rate is 10-3, the signal-to-noise ratio dete-rioration is not more than 0.5 dB. This algorithm accurately determines the optimal overlap length, re-duces a large number of invalid overlap lengths, ensures the excellent bit error performance of the system in multipath channels, and achieves a balance between performance and complexity.

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劉家玉,韓軍,陳寶文.基于KNN信道識別算法的無(wú)前后綴頻域均衡技術(shù)計算機測量與控制[J].,2023,31(1):174-180.

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歷史
  • 收稿日期:2022-10-31
  • 最后修改日期:2022-11-14
  • 錄用日期:2022-11-15
  • 在線(xiàn)發(fā)布日期: 2023-01-16
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