基于双源联合非线性滤波的无线网络定位算法

发布时间：2018-05-27 06:21

本文选题：无线移动网络 + 双源联合定位机制　；参考：《计算机工程与设计》2017年05期

【摘要】：为解决当前无线移动网络定位算法难以适应低信噪比环境,抗高稳定性噪声干扰困难,无法精确获取其坐标估计的不足,提出基于双源联合非线性滤波机制的无线移动网络定位算法。通过建立电控拟旋结构,消除接收信号存在的方位角误差,提高低信噪比环境中信号接收的精度;利用双源联合定位机制,改善因接收天线处于非相干状态而导致的信号相位角判定误差问题,实现相位角的精确判断;采取非线性滤波机制,通过Γ-Ψ分布特征函数降低噪声因素对相位角估计过程的影响,改善高稳定分布噪声对定位过程的干扰。仿真结果表明,与相干定位算法、差分累积定位算法相比,面对低信噪比、高稳定分布噪声环境,该算法的定位精确度更高;在高信噪比、低稳定分布噪声环境下,其定位精度保持较高水平,算法复杂度低。
[Abstract]:In order to solve the problem that the current wireless mobile network localization algorithm is difficult to adapt to the low SNR environment and to resist the interference of high stability noise, it is difficult to accurately obtain the coordinate estimation. A novel localization algorithm for wireless mobile networks based on dual source joint nonlinear filtering mechanism is proposed. In order to eliminate the azimuth error of the received signal and improve the accuracy of the signal reception in the low SNR environment, the electronic control quasi-rotation structure is established, and the dual-source joint positioning mechanism is used to improve the accuracy of the received signal. To improve the error of the signal phase angle determination caused by the incoherent state of the receiving antenna, and to realize the accurate judgment of the phase angle, the nonlinear filtering mechanism is adopted. The influence of noise factors on the phase angle estimation process is reduced by the eigenfunction of 螕-蠄 distribution, and the interference of high stable distribution noise to the positioning process is improved. The simulation results show that compared with the coherent location algorithm and differential cumulant localization algorithm, the accuracy of the algorithm is higher in the presence of low signal-to-noise ratio (SNR) and high stable distributed noise, and in the environment of high SNR and low stable distributed noise. The accuracy of the algorithm is high and the complexity of the algorithm is low.
【作者单位】：河池学院物理与电子工程系;桂林电子科技大学广西无线宽带通信与信号处理重点实验室;西安电子科技大学通信工程学院;
【基金】：国家自然科学基金项目(61362006) 广西无线宽带通信与信号处理重点实验室基金项目(GXKL061501) 广西自然科学基金项目(2012GXNSFBBA053175)
【分类号】：TN929.5

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