Indoor Localization and Trajectory Tracking System based on Millimeter-Wave Radar Sensor

Wang, Xiaojie; Zhang, Zhenyuan; Zhao, Ning; Huang, Darong

doi:10.1109/ddcls52934.2021.9455492

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…In each scenario, it is assumed that K (to be determined) is an object within the detection range of the radar [9,13,14,16,19,20] (a sector with a radius of 15 m from the origin and an angle of 100 • from the center of the circle).…”

Section: Simulation Experiments and Resultsmentioning

confidence: 99%

“…One is the more common velocity-dimension DFT algorithm, which posits that the overall distance-velocity spectrum of multiple objects is a linear combination of the spectra of individual reflected objects because the DFT (discrete Fourier transform) is a linear transformation, so objects with different distances and velocities can be detected from the peaks in the distance-velocity spectrum. Let the angular frequency resolution w res = 2π/N c for a discrete time signal of time length N c [16][17][18][19]; the velocity resolution v res is shown in Equation (13).…”

mentioning

confidence: 99%

“…Figure16. The estimation of the position and angle after the optimized arrangement, when the antenna is intact and when it is aging.…”

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confidence: 99%

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Research on a Super-Resolution and Low-Complexity Positioning Algorithm Using FMCW Radar Based on OMP and FFT in 2D Driving Scene

Guo

Shen

Deng

et al. 2023

Sensors

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Multitarget positioning technology, such as FMCW millimeter-wave radar, has broad application prospects in autonomous driving and related mobile scenarios. However, it is difficult for existing correlation algorithms to balance high resolution and low complexity, and it is also difficult to ensure the robustness of the positioning algorithm using an aging antenna. This paper proposes a super-resolution and low-complexity positioning algorithm based on the orthogonal matching pursuit algorithm that can achieve more accurate distance and angle estimation for multiple objects in a low-SNR environment. The algorithm proposed in this paper improves the resolving power by two and one orders of magnitude, respectively, compared to the classical FFT and MUSIC algorithms in the same signal-to-noise environment, and the complexity of the algorithm can be reduced by about 25–30%, with the same resolving power as the OMP algorithm. Based on the positioning algorithm proposed in our paper, we use the PSO algorithm to optimize the arrangement of an aging antenna array so that its angle estimation accuracy is equivalent to that observed when the antenna is intact, improving the positioning algorithm’s robustness. This paper also further realizes the use of the proposed algorithm and a single-frame intermediate frequency signal to estimate the position angle information of the object and obtain its motion trajectory and velocity, verifying the proposed algorithm’s estimation ability when it comes to these qualities in a moving scene. Furthermore, this paper designs and carries out simulations and experiments. The experimental results verify that the positioning algorithm proposed in this paper can achieve accuracy, robustness, and real-time performance in autonomous driving scenarios.

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Section: Simulation Experiments and Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

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Research on a Super-Resolution and Low-Complexity Positioning Algorithm Using FMCW Radar Based on OMP and FFT in 2D Driving Scene

Guo

Shen

Deng

et al. 2023

Sensors

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Object Trajectory Tracking in Industrial Building: Coupling of Building Information Modeling and Microwave Radar Technologies

Badenko

Kuptsov

Ivanov

et al. 2022

Lecture Notes in Networks and Systems

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Position estimation and calibration for high precision human positioning and tracking using millimeter-wave radar

Xu¹,

Wu²,

Li³

et al. 2022

Meas. Sci. Technol.

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In this paper, a context-based human target detection and position estimation algorithm as well as a position calibration algorithm based on radar irradiation angle are proposed to improve the positioning accuracy which is limited by the sparse and easily submerged characteristics of point cloud generated by millimeter-wave radar that leads to the difficulty in achieving high-precision positioning. Furthermore, an indoor target positioning and tracking system is built using 77 GHz millimeter-wave radar to verify the proposed algorithms. The experiment results indicate that the proposed algorithms can improve the positioning accuracy both in the single-person and multi-person positioning scenarios, with the median positioning errors 8.7 cm (36.7% decrease) and 12.95 cm (average) respectively. Therefore, the proposed sensing method is considered as a very promising technique for designing high precision human trajectory tracking and positioning radar system.

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Indoor Localization and Trajectory Tracking System based on Millimeter-Wave Radar Sensor

Cited by 6 publications

References 16 publications

Research on a Super-Resolution and Low-Complexity Positioning Algorithm Using FMCW Radar Based on OMP and FFT in 2D Driving Scene

Research on a Super-Resolution and Low-Complexity Positioning Algorithm Using FMCW Radar Based on OMP and FFT in 2D Driving Scene

Object Trajectory Tracking in Industrial Building: Coupling of Building Information Modeling and Microwave Radar Technologies

Position estimation and calibration for high precision human positioning and tracking using millimeter-wave radar

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