A wireless fast positioning method based on polarization code

Through the wireless fast positioning method based on polarization code, the problem of insufficient positioning accuracy and robustness in complex channel environments is solved, and the positioning effect with high accuracy and robustness is achieved, and it is suitable for complex scenarios.

CN119789206AActive Publication Date: 2025-04-08EAGLE TECH SHENZHEN CO LTD
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Patent Information

Application Number
CN202510265632.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-07
Publication Date
2025-04-08
Estimated Expiration
2045-03-07

AI Technical Summary

Technical Problem

The existing wireless positioning technology faces the influence of signal multipath effect, noise interference and non-line-of-sight environments in complex channel environments, resulting in the positioning accuracy and robustness that cannot meet actual needs.

Method used

The wireless fast positioning method based on polarization code is adopted to construct the channel measurement matrix through polarization encoding sequence, analyze channel state information, extract the delay characteristics and power loss characteristics of the path, generate a set of candidate paths, and use the maximum likelihood sequence estimation algorithm to evaluate the path confidence, combine weighted particle filtering and simulated annealing optimization algorithm for global search, and output the target's precise position coordinates.

Benefits of technology

It improves positioning accuracy and robustness, enhances adaptability in complex scenarios, improves computing efficiency and real-timeness, and overcomes the inaccuracy problem of traditional positioning technology in non-line-of-sight scenarios.

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Abstract

The present invention discloses a wireless rapid positioning method based on polarization code, which relates to the field of wireless communication technology, including: inputting a wireless signal into a polarization code encoder, generating a polarization coding sequence, constructing a channel measurement matrix, analyzing channel state information, extracting the delay characteristics and power loss characteristics of the path to generate a candidate path set, evaluating the path credibility, and screening out the optimal path set; for the generated optimal path set, extracting the characteristics of each path from the sparse characteristics of the signal, and generating a positioning characteristic vector for each path; constructing a target positioning model, fusing the path characteristics, combining a simulated annealing optimization algorithm for global search, and outputting the precise position coordinates of the target. The channel measurement matrix is ​​optimized through polarization coding characteristics, and global optimization is achieved by integrating multi-dimensional path characteristics, which not only improves positioning accuracy and robustness, and enhances adaptability in complex scenarios, but also significantly reduces computational complexity through lightweight design and efficient algorithms, and achieves efficient real-time positioning.
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