霍晓磊^{1, 2},
赵宏志^1,,,
刘颖¹,
李晓辉²,
王欣²,
唐友喜¹
1.电子科技大学通信抗干扰技术国家级重点实验室 成都 611731
2.陆军工程大学石家庄校区电子与光学工程系 石家庄 050003
基金项目:国家自然科学基金(61771107, 61701075, 61601064, 61531009)，国家重点研发计划(2018YFB1801903)，四川科技计划(2019JDRC0006)

详细信息

作者简介:霍晓磊：男，1980年生，博士生，主要研究方向为无线信号处理、通信抗干扰技术
赵宏志：男，1978年生，教授，博士生导师，主要研究方向为通信抗干扰技术、并行化信号处理
刘颖：男，1985年生，讲师，主要研究方向为数字预失真、无线信号处理
李晓辉：男，1978年生，讲师，主要研究方向为无线通信技术、指挥控制系统
王欣：女，1983年生，讲师，主要研究方向为指挥控制系统、通信抗干扰技术
唐友喜：男，1964年生，教授，博士生导师，主要研究方向为信号处理、传感器网络

通讯作者:赵宏志　lyn@uestc.edu.cn

中图分类号:TN92

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出版历程

收稿日期:2019-09-10
修回日期:2020-02-28
网络出版日期:2020-04-07
刊出日期:2020-10-13

Adjacent Channel Interference Suppression Based on Deconvolution of Interference Signal’s Out-of-band Component

Xiaolei HUO^{1, 2},
Hongzhi ZHAO^1,,,
Ying LIU¹,
Xiaohui LI²,
Xin WANG²,
Youxi TANG¹
1. National key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu 611731, China
2. Department of Electronic and Optical Engineering, Shijiazhuang Campus of Army Engineering University, Shijiazhuang 050003, China
Funds:The National Natural Science Foundation of China (61771107, 61701075, 61601064, 61531009), The National Key R&D Program of China (2018YFB1801903), Sichuan Science and Technology Program (2019JDRC0006)


摘要
摘要:邻道干扰(ACI)抑制中需要获取干扰信号非线性特征进行信号重建与抵消，因此接收机需使用高速率宽带模数转换器(ADC)采集干扰信号，这将大幅增加接收机成本。针对上述问题，该文提出一种采用干扰信号带外分量卷积反演的邻道干扰抑制方法，利用接收的干扰信号带外非线性分量，计算并消除相邻帧之间的影响，由窄带部分卷积信号帧构造出线性卷积信号帧，然后用正则化最小二乘方法恢复原始非线性宽带干扰信号，从而降低ADC采样率。仿真验证结果表明当采样率仅为传统方案1/3，所提方法带来的残余干扰不高于底噪6 dB。
关键词:无线通信/
邻道干扰/
干扰抑制/
卷积反演/
信号恢复
Abstract:In Adjacent Channel Interference (ACI) suppression, in order to obtain the nonlinear characteristics of interference signal for reconstruction and cancellation, the receiver needs to use high-sampling-rate wideband Analog-to-Digital Converter (ADC) to sample interference signal, which will greatly increase the cost of the receiver. To solve the problem, a ACI suppression method based on deconvolution of interference signal’s out-of-band component is proposed in this paper. By using the known out-of-band nonlinear component, the influence between adjacent frames is calculated and eliminated, and then the narrow band linear convolution frame is constructed from the partial convolution frame. Finally, the original wide band signal is recovered by regularized least square method, thus reducing the ADC sampling rate. The simulation results show that when the sampling rate is only 1/3 of the traditional scheme, the residual interference brought by the proposed method is not higher than the noise floor of 6 dB.
Key words:Wireless communication/
Adjacent Channel Interference (ACI)/
Interference suppression/
Deconvolution/
Signal recovery



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