20192019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)Requires access

Design of Wireless Sensor Network Location Algorithm Based on TDOA

Yanqiu Zhang, Mantao Wang, Zhouyu Tan, Weijun Gao, Qiang Huang, Qin Wu, Tianchen Jin, Feng Sun, Yuchen Wang, Jingwei Liao, Zhihao Zhou

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Abstract

In this paper, a new positioning algorithm is designed based on TDOA algorithm. The algorithm combines Trilateration Method and Multilateral Maximum Likelihood to achieve more optimized positioning effect. In this paper, the Trilateration Method, the Multilateral Maximum Likelihood, and the algorithm of this paper have carried out 1000 simulation experiments. The experimental results show that the algorithm can achieve more accurate positioning results in the same condition as the known Nodes. At the same time, the calculation speed of the algorithm is moderate, so the new algorithm presented in this paper is better than the traditional location algorithm.

About this research paper

What this paper is about

In this paper, a new positioning algorithm is designed based on TDOA algorithm. The algorithm combines Trilateration Method and Multilateral Maximum Likelihood to achieve more optimized positioning effect. In this paper, the Trilateration Method, the Multilateral Maximum Likelihood, and the algorithm of this paper have carried out 1000 simulation experiments. The experimental results show that the algorithm can achieve more accurate positioning results in the same condition as the known Nodes. At the same time, the calculation speed of the algorithm is moderate, so the new algorithm presented in this paper is better than the traditional location algorithm.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Method / approach

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Available abstract

In this paper, a new positioning algorithm is designed based on TDOA algorithm. The algorithm combines Trilateration Method and Multilateral Maximum Likelihood to achieve more optimized positioning effect. In this paper, the Trilateration Method, the Multilateral Maximum Likelihood, and the algorithm of this paper have carried out 1000 simulation experiments. The experimental results show that the algorithm can achieve more accurate positioning results in the same condition as the known Nodes. At the same time, the calculation speed of the algorithm is moderate, so the new algorithm presented in this paper is better than the traditional location algorithm.

Key concepts: Trilateration, Multilateration, Algorithm, Computer science, Wireless sensor network, Algorithm design, Maximum likelihood, Wireless

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