FDD系统中TSL和传播延迟的联合估计与补偿
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1.西华师范大学计算机学院南充637009;2.西南民族大学计算机科学与技术学院成都610041

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TN929.532

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四川省自然科学基金(2022NSFSC0536)、国家自然科学基金(12050410248)项目资助


Joint estimation and compensation for TSL and propagation delay in FDD system
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1.School of Computer,China-West Normal University, Nanchong 637009,China; 2.School of Computer Science and Technology,Southwest University for Nationalities, Chengdu 610041,China

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    摘要:

    针对无线通信系统中的发射信号泄漏(TSL)和传播延迟进行了研究。首先,建立起TSL污染的基带数字模型,模型考虑了污染信道的时间变化和到接收机的传播延迟,分析并建立了基于一阶自回归模型的TSL时变信道;其次,基于最小均方(LMS)算法得出了TSL时变信道的复增益估计,并建立起了一种实现TSL污染和传播延迟补偿的离散时间观测模型,得到了无补偿小数部分延迟情形下补偿算法的渐近性能表达式;最后,通过对同步情形下的复信道增益估计和小数部分延迟影响的分析,提出了一种基于复信道时变增益和小数部分延迟的联合估计的数字补偿算法。仿真实验结果表明,提出的联合估计补偿算法不仅是有效和鲁棒的,而且相比于多抽头LMS方案和目前其他先进方案具有更好的信干比性能和更低的复杂度。

    Abstract:

    In this paper, transmitted signal leakage(TSL) and propagation delay in wireless communication system are studied; Firstly, a baseband digital model of TSL pollution is established, the time variation of the polluted channel and the propagation delay to the receiver is considered in this model, and the TSL time-varying channel based on the first-order autoregressive model is analyzed and established. Secondly, the complex gain estimation of TSL time-varying channel is obtained based on the least mean square algorithm, and a discrete time observation model is established to implement the compensation of TSL pollution and propagation delay. The asymptotic performance expression of the compensation algorithm in the case of uncompensated fractional delay is obtained. Finally, a digital compensation algorithm based on the joint estimation of complex channel time-varying gain and fractional delay is proposed by analyzing the complex channel gain estimation and fractional delay influence in the case of synchronization. The simulation experiment results show that the proposed joint estimation compensation algorithm is not only effective and robust, but also has better signal interference ratio performance and lower complexity than the multi-tap LMS solution and other advanced schemes.

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赵海军,陈华月,崔梦天. FDD系统中TSL和传播延迟的联合估计与补偿[J].电子测量与仪器学报,2025,39(5):177-187

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  • 在线发布日期: 2025-07-04
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