Design and Experiment of FMCW Radar System for Drone Detection

Eiadkaew, Seksan; Boonpoonga, Akkarat; Phaebua, Kittisak; Athikulwongse, Krit; Shutimarrungson, Nattakarn

doi:10.1109/itc-cscc55581.2022.9895083

Cited by 3 publications

(7 citation statements)

References 6 publications

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“…In the horizontal plane, the N a equivalent virtual antenna array with aperture L is uniformly arranged. We establish a coordinate system with the center of the antenna array as the origin, the antenna array as the x-axis, and the area perpendicular to the antenna array as the y-axis [1,5,7,[11][12][13], as shown in Figure 6a,b.…”

Section: Fmcw-based Multi-target Localization Principle and Model Con...mentioning

confidence: 99%

“…In the horizontal plane, the 𝑁 equivalent virtual antenna array with aperture 𝐿 is uniformly arranged. We establish a coordinate system with the center of the antenna array as the origin, the antenna array as the x-axis, and the area perpendicular to the antenna array as the y-axis [1,5,7,[11][12][13], as shown in Figure 6a Supposing that the distance from object 𝑂 to the center is 𝑟 and the angle with the y-axis is 𝜃 , then the corresponding coordinates are shown in Equation ( 6):…”

Section: Fmcw-based Multi-target Localization Principle and Model Con...mentioning

confidence: 99%

“…In the two-dimensional plane, the geometric relationship is ∆d = Lsinθ, where ∆d is the difference in the distance of the echo signal received between the RX receiving antennas, and L is the distance between the two antenna elements. The angle between the line of the object and the origin of the coordinate system and the y-axis can be found with Equation (11):…”

Section: Fmcw-based Multi-target Localization Principle and Model Con...mentioning

confidence: 99%

“…According to Equation (11), ∆𝜙 depends on sin𝜃, and they are not linearly related. When θ is tiny, sin𝜃 can be approximately equal to θ.…”

Section: Particle Swarm Optimization Algorithm For Improving the Robu...mentioning

confidence: 99%

“…The overall low-complexity dictionary building process in the angle and distance domains is illustrated in Figure 10. It is noteworthy that the bandwidth of the chirp signal used in the simulation experiments in this paper is approximately 2.5 GHz, and the distance resolution Dis res = 3 cm of the FMCW radar used in this paper can be determined from Equation (11). Therefore, the minimum distance between interpolations in the distance domain data correlation should be no less than 3 cm.…”

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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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: Fmcw-based Multi-target Localization Principle and Model Con...mentioning

confidence: 99%

Section: Fmcw-based Multi-target Localization Principle and Model Con...mentioning

confidence: 99%

Section: Fmcw-based Multi-target Localization Principle and Model Con...mentioning

confidence: 99%

“…According to Equation (11), ∆𝜙 depends on sin𝜃, and they are not linearly related. When θ is tiny, sin𝜃 can be approximately equal to θ.…”

Section: Particle Swarm Optimization Algorithm For Improving the Robu...mentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

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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Real-time Detection and Parameter Estimation of UAV/Drone Signals using Adaptive Thresholds

Nguyen,

Duong

et al. 2023

2023 International Conference on Advanced Technologies for Communications (ATC)

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Studying the Effects of Clutter Using V-Band Radar for Drone Classification

Lam,

Pant,

Manning

et al. 2023

2023 IEEE Sensors Applications Symposium (SAS)

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Design and Experiment of FMCW Radar System for Drone Detection

Cited by 3 publications

References 6 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

Real-time Detection and Parameter Estimation of UAV/Drone Signals using Adaptive Thresholds

Studying the Effects of Clutter Using V-Band Radar for Drone Classification

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