A multi-antenna UWB NLOS identification method
By using the phase parameters of multi-antenna UWB received signals and machine learning methods, the problem of low positioning accuracy of UWB positioning in NLOS environments was solved, achieving more efficient NLOS identification and positioning accuracy.
CN115480209BActive Publication Date: 2026-04-28BEIJING JINKUN TECH CO LTD
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Patent Information
- Application Number
- CN202110587907.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-05-27
- Publication Date
- 2026-04-28
- Estimated Expiration
- 2041-05-27
AI Technical Summary
Technical Problem
Existing UWB positioning technology suffers from deterioration in non-line-of-sight (NLOS) environments, and existing identification methods lack sufficient information to effectively identify NLOS environments.
Method used
The phase parameters of the multi-antenna UWB received signals are used as identification features. The signals are compared with a trained threshold using machine learning methods. The correlation of the multi-antenna received signals is used to identify NLOS and extract rich feature information.
Benefits of technology
It improves the accuracy and precision of NLOS recognition, effectively assists in determining the correctness of the first path position, and maintains the universality and physical significance of the algorithm.
✦ Generated by Eureka AI based on patent content.
Abstract
The application discloses a multi-antenna UWB NLOS identification method, compared with a common identification method based on a single-antenna propagation model, the method introduces a phase parameter of a UWB receiving signal as an identification feature, utilizes correlation of multi-path antenna receiving signals, and compares with a threshold value trained in advance by using a machine learning method to perform NLOS identification.The feature information extracted by the method is rich and has good distinguishability.
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