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基于非线性多基站分布式混沌随机共振方法的无线通信系统定位技术研究
引用本文:何迪,张毅,郁文贤.基于非线性多基站分布式混沌随机共振方法的无线通信系统定位技术研究[J].导航定位于授时,2019,6(2):58-66.
作者姓名:何迪  张毅  郁文贤
作者单位:上海市北斗导航与位置服务重点实验室,上海交通大学,上海200240;华为技术有限公司,上海,200135;上海市智能探测与识别重点实验室,上海交通大学,上海200240
基金项目:工信部国家科技重大专项(2016ZX03001022-006,2018ZX03001020-005);国家自然科学基金(61771308);上海市科委项目(17511106300)
摘    要:针对传统的无线定位方法容易受到接收信号信噪比低和无法接收直射信号的影响,将导致其性能下降乃至严重时方法失效。提出了一种基于非线性多基站分布式混沌随机共振信号增强技术的无线通信系统定位方法,通过利用基站端的接收阵列构造接收信号的分布式功率谱,并对多个接收基站的分布式功率谱进行融合,可以较为有效地解决上述问题。通过仿真,验证了所提出方法的可行性和有效性,与传统无线定位方法相比,该方法的定位精度得到了有效改善。

关 键 词:非线性  混沌随机共振  分布式  无线定位

Research on Location Technology of Wireless Communication System Based on Nonlinear Multi-Base Station Distributed Chaotic Stochastic Resonance Method
HE Di,ZHANG Yi and YU Wen-xian.Research on Location Technology of Wireless Communication System Based on Nonlinear Multi-Base Station Distributed Chaotic Stochastic Resonance Method[J].Navigation Positioning & Timing,2019,6(2):58-66.
Authors:HE Di  ZHANG Yi and YU Wen-xian
Institution:Shanghai Key Laboratory of Navigation and Location-based Services, Shanghai Jiao Tong University, Shanghai 200240, China,Huawei Technologies Co., Ltd., Shanghai 200135, China and Shanghai Key Laboratory of Intelligent Sensing and Recognition, Shanghai Jiao Tong University, Shanghai 200240, China
Abstract:Traditional wireless location methods are easily affected by low SNR of received signals and the inability to receive direct signals, which will lead to performance degradation or even failure of the method in serious cases.In this study, a localization method for wireless communication systems based on the distributed chaotic stochastic resonance (CSR) signal enhancement technology with nonlinear multi-base stations is proposed.By using the receiving array at the base station to construct the distributed power spectrum of the received signal and fusing the distributed power spectrum of multiple receiving base stations, the above problems can be solved effectively.The simulation results show that the feasibility and effectiveness of the proposed method are verified.Compared with the traditional wireless location method, the positioning accuracy of this method is improved effectively.
Keywords:Nonlinear  Chaotic stochastic resonance  Distributed  Wireless location
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