引用本文: | 尚 立,李毅超,蔡 硕,李保罡.基于IRS辅助的北斗+5G融合定位[J].电力系统保护与控制,2022,50(24):137-143.[点击复制] |
SHANG Li,LI Yichao,CAI Shuo,LI Baogang.Beidou + 5G fusion positioning based on IRS assistance[J].Power System Protection and Control,2022,50(24):137-143[点击复制] |
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摘要: |
在变电站、发电厂等电力场景中,保障输配电线路及其设备安全尤为重要。为方便调度指挥更好地应对电力突发事件,需要知道终端的精准位置信息,从而获取对巡检周边电力设施或设备状态的实时数据。基于此,提出一种基于智能反射表面(intelligent reflecting surface, IRS)辅助的北斗+5G融合定位算法。在通过北斗定位进行位置监测的基础上,采用由IRS辅助的5G网络进行信息传输以降低时延,同时在加强直射径信号功率的基础上解决了基站数目不足、非直射径引起的信号衰减等问题。在捕获北斗卫星阶段,提出利用改进的鸡群优化(chicken swarm optimization, CSO)算法快速准确搜索整周模糊度,从而获得准确的差分信号;在利用基站和IRS传输差分信息时,提出了一种改进的基于凸优化的精准位置估计算法。仿真结果证明了所提方法能够实现对目标的精准定位。 |
关键词: 融合定位 RTK 智能反射表面 凸优化 |
DOI:DOI: 10.19783/j.cnki.pspc.220439 |
投稿时间:2022-03-29修订日期:2022-05-29 |
基金项目:国家自然科学基金项目资助(61971190); 国网河北省电力有限公司科技项目资助(SGHEXT00GCJS210034,kj2021-022) |
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Beidou + 5G fusion positioning based on IRS assistance |
SHANG Li,LI Yichao,CAI Shuo,LI Baogang |
(1. Information and Communication Branch, State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050000, China;
2. School of Electronics and Communication Engineering, North China Electric Power University, Baoding 071000, China)) |
Abstract: |
In power scenarios such as those containg substations and power plants, it is particularly important to ensure the safety of electric lines and their equipment. To facilitate dispatch and command to better deal with electric power emergencies, it is necessary to know the accurate location information of terminals, so as to obtain real-time data about the status of surrounding electric power facilities or equipment. Based on this, the paper puts forward a Beidou + 5G fusion positioning algorithm based on intelligent reflecting surface (IRS). Based on the location monitoring with Beidou positioning, the IRS-aided 5G network is used for information transmission to decrease delay. Problems such as signal attenuation caused by the direct path and the insufficient number of base stations are solved based on strengthening the signal power of the direct path. Then in the phase of capturing the Beidou satellite, an improved flock optimization (CSO) algorithm is proposed to search the whole week quickly and accurately, so as to obtain accurate differential signal. For transmitting differential information by base station and IRS, an improved precise position estimation algorithm based on convex optimization is proposed. Finally, simulation results show that the proposed method can achieve accurate target location.
This work is supported by the National Natural Science Foundation of China (No. 61971190). |
Key words: fusion positioning RTK intelligent reflective surface convex optimization |