DNN-Assisted Cooperative Localization in Vehicular Networks

Eom, Jewon; Kim, Hyo-Won; Lee, Sang Hyun; Kim, Sunwoo

doi:10.3390/en12142758

Cited by 13 publications

(11 citation statements)

References 28 publications

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“…The number of signal sources P is set to 5. M 1 = 3 and M 2 = 5, thus the antenna elements are located as [0, 3,5,6,9,10,12,15,20,25] ∆, where ∆ = c/( f l + f h ). The power of all signal sources are equal, and each signal source is assumed to have a flat power spectral density (PSD) over…”

Section: Simulation Resultsmentioning

confidence: 99%

“…A direction-of-arrival (DOA) estimation has been studied for decades in array signal processing and has been adopted in a various applications such as localization and radar [1]. In addition, the DOA estimation can take an essential role in cooperative localization for vehicular networks, where the cooperative localization between vehicles requires the relative distances and DOAs of neighboring vehicles [2,3]. Direction-of-arrival (DOA) estimation algorithms can be distinguished according to the bandwidth of the signal: a narrowband DOA estimation and a wideband DOA estimation.…”

Section: Introductionmentioning

confidence: 99%

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Wideband DOA Estimation on Co-prime Array via Atomic Norm Minimization

2020

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This paper introduces a low complexity wideband direction-of-arrival (DOA) estimation algorithm on the co-prime array. To increase the number of the detectable signal sources and to prevent an unnecessary increase in complexity, the low dimensional co-prime array vector is constructed by arranging elements of the correlation matrix at every frequency bin. The atomic norm minimization (ANM)-based approach resolves the grid-mismatch, which causes an inevitable error in the compressive sensing (CS)-based DOA estimation. However, the complexity surges when the ANM is exploited to the wideband DOA estimation on the co-prime array. The surging complexity of the ANM-based wideband DOA estimation on the co-prime array is handled by solving the time-saving semidefinite programming (SDP) motivated by the ANM for multiple measurement vector (MMV) case. Simulation results show that the proposed algorithm has high accuracy and low complexity compared to compressive sensing (CS)-based wideband DOA estimation algorithms that exploit the co-prime array.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wideband DOA Estimation on Co-prime Array via Atomic Norm Minimization

2020

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“…en, deep learning is used to predict the vehicles' future location distribution. e work in [38] also deals with the noisy observation of the pairwise distance and the angle between vehicles and considers this as a nonlinear optimization problem, which is solved by deep learning models. Another word for relative localization for ground vehicles is [39], where UAV is used for ranging measurements with ground base stations and other UAVs in the round-trip time mode.…”

Section: Positioning Techniquesmentioning

confidence: 99%

Autonomous Real-Time Speed-Limit Violation Detection and Reporting Systems Based on the Internet of Vehicles (IoV)

Mohamed

Parvez

Al-Shalfan

et al. 2021

Journal of Advanced Transportation

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Over-/underspeeding is one of the leading causes of road accidents. Traditional systems of detecting and reporting speed-limit violations are not suitable for smart cities. Even the sophisticated conventional systems that use cameras or RFIDs for automating speed-limit violations have several drawbacks, including cost, complexity, reliability, and maintenance. In this paper, we present two systems based on the Internet of Vehicles (IoV) to automatically detect speed-limit violations and autonomously report the committed violations to the authorities. Our systems require no extra hardware or equipment: only the On-Board Unit (OBU), the Road Side Unit (RSU), and the Cloud Server software have to be updated to have a fully functioning system as long as the IoV infrastructure is deployed. One of the systems will be installed on the OBU. A second alternative system design is to use Cloud Servers (CSs) and the IoV beacons that are sent from the vehicles. Additionally, unlike the existing systems installed in specific locations, all roads in the smart cities and highways will be fully monitored. Adaptive fine calculation according to new dynamic policies can be easily integrated into the proposed system. Furthermore, the proposed system can accurately operate in all weather conditions. Moreover, it allows the dynamic adjustment of the speed limits according to the current weather conditions. We have validated the proposed system by building a prototype system that effectively and accurately detects and reports over-/underspeed traffic violations alongside any road.

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“…An image of scattering points can be retrieved by TR-MUSIC [2,3], where TR-MUSIC is derived from MUSIC [5], one of the well-known DoA estimation algorithms. The localization of vehicles in a global positioning system (GPS)-outage scenario has been recently studied in [6][7][8][9], and the DoA information is expected to be employed for accurate localization. In a vehicular network context, the position, relative distance and DoAs of neighboring vehicles can be shared via inter-vehicle communication.…”

Section: Introductionmentioning

confidence: 99%

“…In a vehicular network context, the position, relative distance and DoAs of neighboring vehicles can be shared via inter-vehicle communication. Using the aforementioned information, the position of vehicles that are out of GPS range can be estimated using cooperative localization [7][8][9]. As the commercialization of an automotive multiple-input-multiple-output (MIMO) radar progresses [10], it is possible for vehicles to harness the DoAs of other vehicles using the DoA estimation algorithm.…”

Section: Introductionmentioning

confidence: 99%

Off-Grid DoA Estimation on Non-Uniform Linear Array Using Constrained Hermitian Matrix

2020

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In this paper, an off-grid direction-of-arrival (DoA) estimation algorithm which can work on a non-uniform linear array (NULA) is proposed. The original semidefinite programming (SDP) representation of the atomic norm exploits a summation of one-rank matrices constructed by atoms, where the summation of one-rank matrices equals a Hermitian Toeplitz matrix when using the uniform linear array (ULA). On the other hand, when the antennas in the array are placed arbitrarily, the summation of one-rank matrices is a Hermitian matrix whose diagonal elements are equivalent. Motivated by this property, the proposed algorithm replaces the Hermitian Toeplitz matrix in the original SDP with the constrained Hermitian matrix. Additionally, when the antennas are placed symmetrically, the performance can be enforced by adding extra constraints to the Hermitian matrix. The simulation results show that the proposed algorithm achieves higher estimation accuracy and resolution than other algorithms on both array structures; i.e., the arbitrary array and the symmetric array.

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DNN-Assisted Cooperative Localization in Vehicular Networks

Cited by 13 publications

References 28 publications

Wideband DOA Estimation on Co-prime Array via Atomic Norm Minimization

Wideband DOA Estimation on Co-prime Array via Atomic Norm Minimization

Autonomous Real-Time Speed-Limit Violation Detection and Reporting Systems Based on the Internet of Vehicles (IoV)

Off-Grid DoA Estimation on Non-Uniform Linear Array Using Constrained Hermitian Matrix

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