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Simulation Design on Kalman Filter with Mobile and No-intersymbol Interference System Based on MATLAB

机译:基于MATLAB的移动和No-Intersymbol干扰系统Kalman滤波器仿真设计

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Intersymbol Interference (ISI) problem is one of the main factors affecting the baseband transmission performance of mobile communication's digital signal which can not only reduce the transmission quality of the information but also can result in misinformation and false pass of information and provide troubles to the user and communications. In order to minimize the error rate, we propose a new digital equalization filter and establish the basic model of the digital filter and introduce non-linear Kalman observation equation and the state equation into the model and design partial differential mathematical model of the Kalman filter and develop MATLAB solver based on the mathematical model. In order to verify the validity and reliability of Kalman filter algorithms and mathematical procedures designed in this paper, it uses MATLAB toolbox to simulate the filter of mobile crosstalk signal and obtains amplitude-frequency characteristics and time-domain characteristics before and after filtering. By comparison, we can see that the filter can eliminate the high frequency crosstalk signal which provides technical reference for the study of the problem of crosstalk between the mobile communication codes.
机译:Intersymbol干扰(ISI)问题是影响移动通信的数字信号基带传输性能的主要因素之一,这不仅可以降低信息的传输质量,而且可以导致信息的错误信息和错误传递,并为用户提供麻烦和通信。为了最小化错误率,我们提出了一种新的数字均衡滤波器,并建立数字滤波器的基本模型,并将非线性卡尔曼观察方程和状态方程引入了卡尔曼滤波器的模型和设计部分差分数学模型。基于数学模型开发Matlab求解器。为了验证卡尔曼滤波器算法的有效性和可靠性和本文设计的数学过程,它使用MATLAB工具箱模拟移动串扰信号的过滤器,并在过滤之前和之后获得幅度频率特性和时域特性。相比之下,我们可以看到过滤器可以消除高频串扰信号,该信号为移动通信代码之间的串扰问题提供技术参考。

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