基于极坐标捕捉机制的移动传感网信号定位算法

为解决当前LTE-5G领域内移动传感网信号定位算法存在的定位精度不高、定位时间过长及定位能力较差等不足,提出了一种基于极坐标捕捉机制的移动传感网信号定位算法。首先,通过逆向频率变换及角度矩阵映射,设计了一种抗噪能力较强的信号接收模型,使其能够结合正交处理的方式来抑制信道噪声干扰,以降低定位过程中因噪声而导致精度不高的问题。随后,联合预设极坐标中心与频率-拓扑关系,构建了一种环定位结构,充分利用sink节点性能不受限的特点来快速捕获信号发射位置,提高定位精度,减少定位时间。仿真实验表明:与常用的正交环定位算法(Orthogonal Loop Location Algorithms,OLL算法)、双源定位算法(Dual-source localization algorithm,DSL算法)相比,本文算法定位精度高,定位时间短等优势,具有很强的实际部署价值。

SIGNAL LOCALIZATION ALGORITHM FOR MOBILE SENSOR NETWORKS BASED ON POLAR COORDINATE CAPTURE MECHANISM

In order to solve the problems of low positioning accuracy, long positioning time and poor positioning ability in current LTE-5G mobile sensor network signal positioning algorithm, a mobile sensor network signal positioning algorithm based on polar coordinate capture mechanism is proposed. Firstly, by using inverse frequency transformation and angle matrix mapping, a signal receiving model with strong anti-noise ability is designed, which combines orthogonal processing to suppress channel noise interference and reduce the problem of low accuracy caused by noise in positioning process. Subsequently, by presupposing the polar coordinate center and combining the frequency-topology relationship, a ring positioning structure is constructed, which can make full use of the unlimited performance of sink nodes to quickly capture the signal transmission position by scanning, improve the positioning accuracy and reduce the positioning time. The simulation experiment shows that compared with Orthogonal Loop Location Algorithms (OLL) and Dual-source localization algorithm (DSL), this algorithm has the advantages of higher positioning accuracy, shorter positioning time and stronger practical deployment value.