Mutual Interference of Automotive OFDM Radars—Analysis and Countermeasures

Schweizer, Benedikt; Knill, Christina; Werbunat, David; Stephany, Simon; Waldschmidt, Christian

doi:10.1109/jmw.2021.3110164

Cited by 7 publications

(5 citation statements)

References 39 publications

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“…Another important research direction oriented toward the detection of pedestrians by (autonomous) vehicles is based on the use of radar systems operating at various frequencies, between 24 and 300 GHz [ 59 , 60 ]. This approach is highly promising in detecting obstacles, but its performance might be significantly affected by mutual interferences once the technology is used on multiple vehicles [ 61 ]. Additionally, different from the proposed design, the approach based on radar systems is not able to detect pedestrians before they are already engaged in street crossing, nor they are capable to detect the pedestrians that are already on the zebra when the visibility is obstructed by other cars stopped in traffic on adjacent lanes.…”

Section: Discussion About the Importance Of This Work Differences Fro...mentioning

confidence: 99%

Design, Implementation and Experimental Investigation of a Pedestrian Street Crossing Assistance System Based on Visible Light Communications

Căilean

Beguni

Avatamanitei

et al. 2022

Sensors

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In urban areas, pedestrians are the road users category that is the most exposed to road accident fatalities. In this context, the present article proposes a totally new architecture, which aims to increase the safety of pedestrians on the crosswalk. The first component of the design is a pedestrian detection system, which identifies the user’s presence in the region of the crosswalk and determines the future street crossing action possibility or the presence of a pedestrian engaged in street crossing. The second component of the system is the visible light communications part, which is used to transmit this information toward the approaching vehicles. The proposed architecture has been implemented at a regular scale and experimentally evaluated in outdoor conditions. The experimental results showed a 100% overall pedestrian detection rate. On the other hand, the VLC system showed a communication distance between 5 and 40 m when using a standard LED light crosswalk sign as a VLC emitter, while maintaining a bit error ratio between 10−7 and 10−5. These results demonstrate the fact that the VLC technology is now able to be used in real applications, making the transition from a high potential technology to a confirmed technology. As far as we know, this is the first article presenting such a pedestrian street crossing assistance system.

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Section: Discussion About the Importance Of This Work Differences Fro...mentioning

confidence: 99%

Design, Implementation and Experimental Investigation of a Pedestrian Street Crossing Assistance System Based on Visible Light Communications

Căilean

Beguni

Avatamanitei

et al. 2022

Sensors

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show abstract

“…However, there are several difficulties with mmWave technology, including shorter transmission ranges because of more attenuation and the requirement for more exact antenna aiming. Researchers are investigating advanced signal processing methods [45], beamforming methods [46], adaptive modulation [47] and coding strategies [48] to address these issues.…”

Section: Rf Planning and Optimization In Ai-ran 6gmentioning

confidence: 99%

AI-RAN in 6G Networks: State-of-the-Art and Challenges

Khan,

Schmid

2024

IEEE Open J. Commun. Soc.

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6G is a next-generation cellular communication technology that builds up on existing 5G networks which are currently rolled out worldwide. Through incorporation of artificial intelligence (AI) and machine learning (ML), the core 5G network is advanced into an intelligent 6G network. The 6G Artificial Intelligence Radio Access Network (AI-RAN) is anticipated to offer advanced features like reduced latency, improved bandwidth, data rates and coverage. Furthermore, AI-RAN is expected to support complex use cases such as extreme connectivity, multi-user communications and dynamic spectrum access. This paper provides a detailed survey and thorough assessment of AI-RAN's vision and state-of-the-art challenges. We first present a concise introduction to 6G AI-RAN followed by background information on the current 5G RAN and its challenges that must be overcome to implement 6G AI-RAN. The paper then examines trending research issues in AI-RAN, i.e., challenges related to spectrum allocation, network architecture, and resource management. We discuss the methods to overcome these challenges which include the adoption of advanced machine learning and edge computing technologies to boost the performance of 6G AI-RAN. We conclude by stating open research directions.

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“…The sensing method [11,12] has been extensively applied in the past decade and has become a de facto standard for OFDM radar, particularly in automotive sensing [13][14][15][16][17][18][19][20][21][22][23]. For illustration convenience, we call the method [11] the classical OFDM sensing (COS) hereafter.…”

Section: Background and Motivationmentioning

confidence: 99%

Joint Communications and Sensing Employing Multi- or Single-Carrier OFDM Communication Signals: A Tutorial on Sensing Methods, Recent Progress and a Novel Design

Zhang

Huang

et al. 2022

Sensors

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Joint communications and sensing (JCAS) has recently attracted extensive attention due to its potential in substantially improving the cost, energy and spectral efficiency of Internet of Things (IoT) systems that need both radio frequency functions. Given the wide applicability of orthogonal frequency division multiplexing (OFDM) in modern communications, OFDM sensing has become one of the major research topics of JCAS. To raise the awareness of some critical yet long-overlooked issues that restrict the OFDM sensing capability, a comprehensive overview of OFDM sensing is provided first in this paper, and then a tutorial on the issues is presented. Moreover, some recent research efforts for addressing the issues are reviewed, with interesting designs and results highlighted. In addition, the redundancy in OFDM sensing signals is unveiled, on which, a novel method is based and developed in order to remove the redundancy by introducing efficient signal decimation. Corroborated by analysis and simulation results, the new method further reduces the sensing complexity over one of the most efficient methods to date, with a minimal impact on the sensing performance.

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Mutual Interference of Automotive OFDM Radars—Analysis and Countermeasures

Cited by 7 publications

References 39 publications

Design, Implementation and Experimental Investigation of a Pedestrian Street Crossing Assistance System Based on Visible Light Communications

Design, Implementation and Experimental Investigation of a Pedestrian Street Crossing Assistance System Based on Visible Light Communications

AI-RAN in 6G Networks: State-of-the-Art and Challenges

Joint Communications and Sensing Employing Multi- or Single-Carrier OFDM Communication Signals: A Tutorial on Sensing Methods, Recent Progress and a Novel Design

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