多路延迟正交合成的多径信道射频干扰对消

发布时间：2018-04-01 12:11

本文选题：共址干扰　切入点：射频自干扰对消　出处：《电子与信息学报》2017年03期

【摘要】：该文针对单路延迟对消系统不能有效解决多径信道的超短波无线电台共址干扰消除问题,给出了等间隔多路延迟正交合成的射频干扰对消方案,进而提出了新的衰减系数求解方法。在设定时间延迟范围和参考信号路数基础上,该方法通过迭代加权实时有效估计多路参考信号的相关矩阵,接收信号与参考信号的相关向量,进而求解维纳霍夫方程得到各路衰减系数,有效抑制多径信道的自干扰,克服了已有方法需同时调节幅度和相位,以及相关向量和相关矩阵估计精度低的不足。另外,理论分析了衰减系数的求解过程,并推导了自干扰对消比的闭合表达式。分析和仿真结果表明,该方法在一定延迟误差情况下,可获得90 d B以上的对消比,比已有方法提高了约9 d B,有效解决了多径信道的射频干扰对消问题。
[Abstract]:In view of the fact that the single-channel delay cancellation system can not effectively solve the problem of coaddress interference cancellation of ultrashort radio stations in multipath channels, a radio frequency interference cancellation scheme based on equal-interval multi-channel delay orthogonal synthesis is presented.Furthermore, a new method for calculating attenuation coefficient is proposed.On the basis of setting the time delay range and the number of reference signal paths, the method estimates the correlation matrix of the multichannel reference signal effectively and receives the correlation vector between the signal and the reference signal by iterating and weighting the correlation matrix of the reference signal in real time.By solving the Wienahoff equation, the attenuation coefficients of each channel are obtained, and the self-interference of multipath channel is suppressed effectively, which overcomes the shortcomings of the existing methods which need to adjust the amplitude and phase simultaneously, as well as the low accuracy of the estimation of correlation vector and correlation matrix.In addition, the process of solving the attenuation coefficient is analyzed theoretically, and the closed expression of the self-interference cancellation ratio is derived.The results of analysis and simulation show that the cancellation ratio of 90 dB or more can be obtained by this method under the condition of certain delay error, which is about 9 dB higher than that of the existing methods, which effectively solves the problem of radio frequency interference cancellation in multipath channels.
【作者单位】：军械工程学院信息工程系;电子科技大学通信抗干扰技术国家级重点实验室;
【基金】：国家自然科学基金(61531009,61501093,61271164,61471108)~~
【分类号】：TN972

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