雾霾天气下下一代移动通信信道均衡算法研究
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摘要
针对雾霾天气下下一代移动通信中,信号经过雾霾信道中会发生多径效应、阴影效应等一系列不利因素,会造成信号幅度衰减,相位偏转,影响信号传输质量的问题.首先给出了可以综合多径、阴影效应的雾霾天气下信道传播统计信道模型;其次,根据数字化的信道模型给出了一种信道均衡方法,改可以有效的弥补信号传播过程中遇到的干扰和衰落;最后仿真测试,分别比较实测数据和仿真数据的电平交叉率和平均衰落时间两个参数、均衡器和判决器的输出信号星座图,验证所提方法的有效性,可靠性.
In the next generation of mobile communication under smog weather,a series of unfavorable factors such as multipath effect and shadow effect will occur in the smog channel,which will cause signal amplitude attenuation,phase deflection,and affect signal transmission quality.Firstly,a channel propagation statistical channel model for smog weather with multipath and shadow effects is proposed.Secondly,according to the digitized channel model,a channel equalization method is presented,which can effectively compensate for the interference and fading encountered during signal propagation.In the end,simulation tests are carried out to compare the level crossing rate and the average fading time of the measured data and the simulated data,the output signal constellation of the equalizer and the decider.The validity and reliability of the proposed method are proved.
In the next generation of mobile communication under smog weather,a series of unfavorable factors such as multipath effect and shadow effect will occur in the smog channel,which will cause signal amplitude attenuation,phase deflection,and affect signal transmission quality.Firstly,a channel propagation statistical channel model for smog weather with multipath and shadow effects is proposed.Secondly,according to the digitized channel model,a channel equalization method is presented,which can effectively compensate for the interference and fading encountered during signal propagation.In the end,simulation tests are carried out to compare the level crossing rate and the average fading time of the measured data and the simulated data,the output signal constellation of the equalizer and the decider.The validity and reliability of the proposed method are proved.
引文
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[10]张凯,于宏毅,胡赟鹏,等.基于EM-SBL迭代的稀疏SIMO信道频域盲均衡算法[J].电子学报,2018,46(2):372-380.
[2]孔豫京,黄焱,崔登旭,等.无人侦察机通信侦察信道统计模型建模与仿真[J].电子信息对抗技术,2015,30(1):77-82.
[3]吴晓,黎勇,刘宏清.LDPC编码的MIMO-OFDM系统中的联合半盲均衡与解码研究[J].系统工程与电子技术,2018,40(8):1866-1872.
[4]肖瑛,崔艳秋.基于组合代价函数的双模式盲均衡新算法[J].电子学报,2018,46(6):1482-1487.
[5]朱秋明,徐大专,吕卫华,等.航空信道统计模型的改进与实现[J].应用科学学报,2009,27(6):569-573.
[6]周先春,黄猛.基于雨衰雪衰影响的空间信道统计模型[J].电讯技术,2017,57(1):90-94.
[7]曾明如,刘公法,宗胡亮,等.无线信道统计模型识别[J].南昌大学学报(理科版),2012,36(6):577-580.
[8]饶俊,王喆,王群.Mobile-to-Mobile地面通信信道统计模型分析[J].江汉大学学报(自然科学版),2010,38(1):25-29.
[9]马济通,邱天爽,李蓉,等.脉冲噪声下基于Renyi熵的分数低阶双模盲均衡算法[J].电子与信息学报,2018,40(2):378-385.
[10]张凯,于宏毅,胡赟鹏,等.基于EM-SBL迭代的稀疏SIMO信道频域盲均衡算法[J].电子学报,2018,46(2):372-380.