Vehicle classification applying many‐to‐one input network architecture in 77‐GHz FMCW radar

Jiang, Haodong; Zhang, Li; Wang, Ke; Guo, Yaozu; Yan, Feng; Ji, Xiaoli

doi:10.1049/rsn2.12181

Cited by 3 publications

(3 citation statements)

References 30 publications

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“…To determine the height of a detected object, we employ one of the several studies available in the literature that tackled this issue through radar technology [25], [26]. The most appropriate technique involves using radar fingerprints and residual networks (ResNets) to classify objects in realtime.…”

Section: A Overview and Schematic Diagrammentioning

confidence: 99%

Enhancing Reliability in Federated mmWave Networks: A Practical and Scalable Solution using Radar-Aided Dynamic Blockage Recognition

Al-Quraan,

Zoha,

Centeno

et al. 2024

IEEE Trans. on Mobile Comput.

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This article introduces a new method to improve the dependability of millimeter-wave (mmWave) and terahertz (THz) network services in dynamic outdoor environments. In these settings, line-of-sight (LoS) connections are easily interrupted by moving obstacles like humans and vehicles. The proposed approach, coined as Radar-aided Dynamic blockage Recognition (RaDaR), leverages radar measurements and federated learning (FL) to train a dual-output neural network (NN) model capable of simultaneously predicting blockage status and time. This enables determining the optimal point for proactive handover (PHO) or beam switching, thereby reducing the latency introduced by 5G new radio procedures and ensuring high quality of experience (QoE). The framework employs radar sensors to monitor and track object movement, generating range-angle and range-velocity maps that are useful for scene analysis and predictions. Moreover, FL provides additional benefits such as privacy protection, scalability, and knowledge sharing. The framework is assessed using an extensive real-world dataset comprising mmWave channel information and radar data. The evaluation results show that RaDaR substantially enhances network reliability, achieving an average success rate of 94% for PHO compared to existing reactive HO procedures that lack proactive blockage prediction. Additionally, RaDaR maintains a superior QoE by ensuring sustained high throughput levels and minimising PHO latency.

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Section: A Overview and Schematic Diagrammentioning

confidence: 99%

Enhancing Reliability in Federated mmWave Networks: A Practical and Scalable Solution using Radar-Aided Dynamic Blockage Recognition

Al-Quraan,

Zoha,

Centeno

et al. 2024

IEEE Trans. on Mobile Comput.

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“…To determine the height of a detected object, we employ one of the several studies available in the literature that tackled this issue through radar technology [23], [24]. The most appropriate technique involves using radar fingerprints and residual networks (ResNets) to classify objects in real time.…”

Section: A Overview and Schematic Diagrammentioning

confidence: 99%

Intelligent Beam Blockage Prediction for Seamless Connectivity in Vision-Aided Next-Generation Wireless Networks

Al-Quraan

Khan

Mohjazi

et al. 2023

IEEE Trans. Netw. Serv. Manage.

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The upsurge in wireless devices and real-time service demands force the move to a higher frequency spectrum. Millimetre-wave (mmWave) and terahertz (THz) bands combined with the beamforming technology offer significant performance enhancements for future wireless networks. Unfortunately, shrinking cell coverage and severe penetration loss experienced at higher spectrum render mobility management a critical issue in high-frequency wireless networks, especially optimizing beam blockages and frequent handover (HO). Mobility management challenges have become prevalent in city centres and urban areas. To address this, we propose a novel mechanism driven by exploiting wireless signals and on-road surveillance systems to intelligently predict possible blockages in advance and perform timely HO. This paper employs computer vision (CV) to determine obstacles and users' location and speed. In addition, this study introduces a new HO event, called block event (BLK), defined by the presence of a blocking object and a user moving towards the blocked area. Moreover, the multivariate regression technique predicts the remaining time until the user reaches the blocked area, hence determining best HO decision. Compared to conventional wireless networks without blockage prediction, simulation results show that our BLK detection and proactive HO algorithm achieves 40% improvement in maintaining user connectivity and the required quality of experience (QoE).

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“…The frequency modulated continuous wave (FMCW) radar uses modulated electromagnetic waves to sense targets. It has been widely applied in military and civilian fields because of its high ranging accuracy, good anti-jamming performance, and strong range selection ability [1,2]. However, the electromagnetic environment faced by FMCW radars is becoming more and more complex with the development of electronic technology, which makes researchers pay attention to the influence of UWB EMP on FMCW radars [3,4].…”

Section: Introductionmentioning

confidence: 99%

Simulation and Analysis of an FMCW Radar against the UWB EMP Coupling Responses on the Wires

Chen

Liu

Gao

et al. 2022

Sensors

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An ultra-wideband electromagnetic pulse (UWB EMP) can be coupled to an FMCW system through metal wires, causing electronic equipment disturbance or damage. In this paper, a hybrid model is proposed to carry out the interference analysis of UWB EMP coupling responses on the wires to the FMCW radar. First, a field simulation model of the radar is constructed and the wire coupling responses are calculated. Then, the responses are injected into an FMCW circuit model via data format modification. Finally, we use the FFT transform to identify the spectral peak of the intermediate frequency (IF) output signal, which corresponds to the radar’s detection range. The simulation results show that the type of metal wire has the greatest influence on the amplitude of coupling responses. The spectral peak of the IF output changes to the wrong frequency with the increase of injection power. Applying interference at the end of the circuit can more effectively interfere with the detection of the radar. The investigation provides a theoretical basis for the electromagnetic protection design of the radar.

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Vehicle classification applying many‐to‐one input network architecture in 77‐GHz FMCW radar

Cited by 3 publications

References 30 publications

Enhancing Reliability in Federated mmWave Networks: A Practical and Scalable Solution using Radar-Aided Dynamic Blockage Recognition

Enhancing Reliability in Federated mmWave Networks: A Practical and Scalable Solution using Radar-Aided Dynamic Blockage Recognition

Intelligent Beam Blockage Prediction for Seamless Connectivity in Vision-Aided Next-Generation Wireless Networks

Simulation and Analysis of an FMCW Radar against the UWB EMP Coupling Responses on the Wires

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