Indoor target positioning and trajectory tracking method and system based on millimeter wave radar

By using 77GHz millimeter-wave FMCW radar and fusion algorithms to process signals, the problems of high accuracy and privacy protection in indoor positioning are solved, achieving high-precision target positioning and trajectory tracking, adapting to complex environments and unaffected by obstructions.

CN117907963BActive Publication Date: 2026-06-19SHANDONG NORMAL UNIV
View PDF 2 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANDONG NORMAL UNIV
Filing Date
2024-01-22
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing technologies struggle to achieve high-precision identification and trajectory tracking in indoor positioning while ensuring user privacy, especially in complex indoor environments. Traditional methods are heavily reliant on user location information and pose a risk of privacy breaches.

Method used

Indoor human body signals are acquired using a 77GHz millimeter-wave FMCW radar, and signal processing is performed through a fusion algorithm, including preliminary noise reduction, data segmentation, environmental noise filtering, clustering, and constant false alarm rate detection, to achieve high-precision target positioning and trajectory tracking.

Benefits of technology

It achieves high-precision indoor target positioning and trajectory tracking, effectively filters out noise, avoids privacy leaks, adapts to complex indoor environments, is unaffected by obstructions, and provides a convenient and reliable user experience.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN117907963B_ABST
    Figure CN117907963B_ABST
Patent Text Reader

Abstract

This invention discloses an indoor target localization and trajectory tracking method and system based on millimeter-wave radar. The method includes: acquiring the frequency-modulated continuous wave emitted by the millimeter-wave radar towards the target area and receiving the echo signal; demodulating and transcoding the echo signal; performing preliminary noise reduction on the demodulated and transcoded data; segmenting and extracting the data after preliminary noise reduction to obtain a dataset; filtering environmental noise from the dataset to obtain a first-optimized dataset; clustering the first-optimized dataset to filter out noise generated by the target during movement, obtaining a second-optimized dataset; and using a constant false alarm rate (CFAR) detection algorithm on the second-optimized dataset, using peak points in the clustering results to replace the entire clustering interval to complete target localization.
Need to check novelty before this filing date? Find Prior Art

Citation Information

Patent Citations

  • Method and apparatus for identifying dynamic adjustment interval of industrial process

    CN106933211A

  • Personnel detection and counting system based on millimeter wave radar

    CN110118966A