Joint Angle and Range Estimation With Signal Clustering in FMCW Radar

Fang, Wen‐Hsien; Fang, Li-Der

doi:10.1109/jsen.2019.2949367

Cited by 19 publications

(9 citation statements)

References 23 publications

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“…Therefore, the joint angle-delay estimation (JADE) method [24,25] or the joint angle-frequency estimation (JAFE) method [26] can be adopted to solve this problem. The ESPRIT method is adopted for rough estimation, which mainly takes advantage of its low computational cost to quickly obtain a set of initial solutions and reduce the search space of the fine estimation method.…”

Section: The Esprit Rough Estimation Methods Of the Delay-doppler Array Manifoldmentioning

confidence: 99%

Joint range and velocity estimation for integration of radar and communication based on multi‐symbol OFDM radar pulses

Wang

Zhang

Najafabadi

2021

IET Radar Sonar & Navi

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Integration of radar and communication (IRC) is conducive to improving hardware resource utilization and spectrum utilization. This paper proposes a joint range and velocity estimation method for IRC based on multi-symbol orthogonal frequency division multiplexing (OFDM) radar pulses. A two-step parameters estimation method is applied, where estimating the signal parameters via rotational invariance technique (ESPRIT) and weighted subspace fitting (WSF) perform rough and fine estimations. We first build a receiving model for integrated signal based on element-wise division. The ESPRIT method is then adopted based on the double Vandermonde structure array manifold for a rough estimation. It has relatively high estimation error but low computational complexity. The WSF method based on alternating projection (AP) algorithm is introduced to make the estimation more precise and reduce its error. It uses the estimation results in the first step and reduces the overall computational cost. Simulation results show that the proposed method reduces the computational complexity while improving the estimation accuracy compared with the WSF method.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Section: The Esprit Rough Estimation Methods Of the Delay-doppler Array Manifoldmentioning

confidence: 99%

Joint range and velocity estimation for integration of radar and communication based on multi‐symbol OFDM radar pulses

Wang

Zhang

Najafabadi

2021

IET Radar Sonar & Navi

View full text Add to dashboard Cite

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“…The difference in distance between the object and the two antennas causes a phase change in the FFT peak, and the AOA is estimated by the phase change. The phase change is mathematically established with Equation (10) [9,14]:…”

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

confidence: 99%

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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“…The proposed model's complexity and performance merits are compared to [20,[41][42][43][44]. Table 4 shows that the proposed model computational complexity is similar to [44] and has a large FoV in both azimuth and elevation when compared to the rest of the designs and/or algorithms that were reported.…”

Section: Statistical Analysis Of Measurementsmentioning

confidence: 99%

“…This study, however, does not take into account a complex scene. In [20], the range and angle estimations are proposed, employing signal parameter estimation through rotational invariance techniques (ESPRIT). Even when the number of targets exceeds the number of receivers, the proposed algorithm works.…”

Section: Introductionmentioning

confidence: 99%

Localization of Multi-Class On-Road and Aerial Targets Using mmWave FMCW Radar

et al. 2021

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mmWave radars play a vital role in autonomous systems, such as unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), ground station control and monitoring systems. The challenging task when using mmWave radars is to estimate the accurate angle of arrival (AoA) of the targets, due to the limited number of receivers. In this paper, we present a novel AoA estimation technique, using mmWave FMCW radars operating in the frequency range 77–81 GHz by utilizing the mechanical rotation. Rotating the radar also increases the field of view in both azimuth and elevation. The proposed method estimates the AoA of the targets, using only a single transmitter and receiver. The measurements are carried out in a variety of practical scenarios including pedestrians, a car, and an UAV, also known as a drone. With measured data, range-angle maps are created, and morphological operators are used to estimate the AoA of the targets. We also process radar range-angle images for improved visual representation. The proposed method will be extremely beneficial for practical ground stations, traffic control and monitoring frameworks for both on-ground and airborne vehicles.

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Joint Angle and Range Estimation With Signal Clustering in FMCW Radar

Cited by 19 publications

References 23 publications

Joint range and velocity estimation for integration of radar and communication based on multi‐symbol OFDM radar pulses

Joint range and velocity estimation for integration of radar and communication based on multi‐symbol OFDM radar pulses

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

Localization of Multi-Class On-Road and Aerial Targets Using mmWave FMCW Radar

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