TOA 系统中的 NLOS 误差缓解

IF 2.1 4区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Wireless Networks Pub Date : 2024-03-15 DOI:10.1007/s11276-024-03702-8

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引用次数: 0

摘要

摘要针对到达时间系统在非视距（NLOS）环境下室内定位精度低的问题，我们提出了一种基于半定量编程（SDP）的优化定位算法。该算法通过一种新颖的方法减少了 NLOS 误差。与原来的 SDP 算法相比，我们通过避免对先验信息的依赖，优化了算法的目标函数，从而减少了不可行性问题。实验表明，在相同的室内环境下，所提出算法的精确度优于传统的 SDP 算法。

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NLOS error mitigation in TOA systems

Abstract

To address the problem of low indoor positioning accuracy in time-of-arrival systems in the non-line-of-sight (NLOS) environments, we proposed an optimized positioning algorithm based on semidefinite programming (SDP). This algorithm reduces the NLOS error through a novelty method. Compared with the original SDP algorithm, we optimized the algorithm’s objective function by avoiding its dependence on the prior information, thereby decreasing infeasibility problems. The experiment showed that the proposed algorithm’s accuracy is superior to that of the traditional SDP algorithm in the same indoor environment.

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来源期刊

Wireless Networks 工程技术-电信学

CiteScore

7.70

自引率

3.30%

发文量

314

审稿时长

5.5 months

期刊介绍： The wireless communication revolution is bringing fundamental changes to data networking, telecommunication, and is making integrated networks a reality. By freeing the user from the cord, personal communications networks, wireless LAN''s, mobile radio networks and cellular systems, harbor the promise of fully distributed mobile computing and communications, any time, anywhere. Focusing on the networking and user aspects of the field, Wireless Networks provides a global forum for archival value contributions documenting these fast growing areas of interest. The journal publishes refereed articles dealing with research, experience and management issues of wireless networks. Its aim is to allow the reader to benefit from experience, problems and solutions described.