scholarly journals Neuroevolution-Based Adaptive Antenna Array Beamforming Scheme to Improve the V2V Communication Performance at Intersections

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2956
Author(s):  
Hojin Kang Kim ◽  
Raimundo Becerra ◽  
Sandy Bolufé ◽  
Cesar A. Azurdia-Meza ◽  
Samuel Montejo-Sánchez ◽  
...  
Keyword(s):  
Antenna Array ◽  
Adaptive Beamforming ◽  
Ieee 802.11P ◽  
Adaptive Antenna ◽  
Communication Link ◽  
Learning Approaches ◽  
Vehicular Communication ◽  
Communication Range ◽  
V2v Communication ◽  
Mutation Strategy

The opportunistic exchange of information between vehicles can significantly contribute to reducing the occurrence of accidents and mitigating their damages. However, in urban environments, especially at intersection scenarios, obstacles such as buildings and walls block the line of sight between the transmitter and receiver, reducing the vehicular communication range and thus harming the performance of road safety applications. Furthermore, the sizes of the surrounding vehicles and weather conditions may affect the communication. This makes communications in urban V2V communication scenarios extremely difficult. Since the late notification of vehicles or incidents can lead to the loss of human lives, this paper focuses on improving urban vehicle-to-vehicle (V2V) communications at intersections by using a transmission scheme able of adapting to the surrounding environment. Therefore, we proposed a neuroevolution of augmenting topologies-based adaptive beamforming scheme to control the radiation pattern of an antenna array and thus mitigate the effects generated by shadowing in urban V2V communication at intersection scenarios. This work considered the IEEE 802.11p standard for the physical layer of the vehicular communication link. The results show that our proposal outperformed the isotropic antenna in terms of the communication range and response time, as well as other traditional machine learning approaches, such as genetic algorithms and mutation strategy-based particle swarm optimization.

scholarly journals Forming broaden dips in the directional pattern of an adaptive spatial filter with planar antenna array.

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
M.Y. Lishak ◽  
Keyword(s):  
Antenna Array ◽  
Directional Pattern ◽  
Adaptive Beamforming ◽  
Adaptive Antenna ◽  
Planar Antenna ◽  
Partial Derivatives ◽  
Sample Covariance ◽  
Derivatives Of ◽  
Beamforming Algorithm ◽  
Planar Antenna Array

The adaptive antenna array beamforming is used to suppress jammers by placing antenna directional pattern nulls in the directions of the jammer sources. The performance of the beamformer is known to degrade in rapidly moving jammer environments. This degradation occurs due to the jammer motion that can bring the jammers out of the sharp nulls of the adaptive directional pattern. The directional pattern nulls broadening is an effective means to settle this problem. To broaden the nulls, the first derivative of the pattern in the directions of the jammer sources is set equal to zero. Being applied to the beamformer with a linear array, this technique allows producing broaden nulls in the directional pattern. However, in the case of a two-dimensional planar antenna array, the nulls will broaden only in one angular plane. In order to equally broaden the nulls in all angular directions and in this way to make them symmetrical, some additional constraints on the second partial derivatives of the directional pattern should be imposed. To set these constraints, it is necessary to include additional transformed steering vectors of jammers in the basis of the jammer subspace. These new transformed steering vectors are calculated in accordance with the expressions for the second partial derivatives of the directional pattern. In this paper, the expressions for the transformed steering vectors are derived and a novel beamforming algorithm based on them is proposed. In the adaptive beamforming algorithm based on such an approach unknown steering vectors of jammers are replaced by the eigenvectors of the sample covariance matrix corresponding to the largest eigenvalues. The effectiveness of the proposed method is verified by the computer simulation results. The computational complexity of this algorithm is estimated.

A MULTI INTERFERENCE CANCELLER USING LMF AND LMS ADAPTIVE ANTENNA ARRAY

2001 ◽  
Vol 9 (ASAT Conference, 8-10 May 2001) ◽  
pp. 1-18
Author(s):  
SOLEIT* A. ◽  
ALLAM M. ◽  
EL-BARBARY A. ◽  
HENEIDI Z.
Keyword(s):  
Antenna Array ◽  
Adaptive Antenna ◽  
Adaptive Antenna Array ◽  
Interference Canceller

Adaptive antenna array processing with kernels

2007 ◽  
Author(s):  
M. Martinez-Ramon ◽  
A. Navia-Vazquez ◽  
C.G. Christodoulou ◽  
A.R. Figueiras-Vidal
Keyword(s):  
Antenna Array ◽  
Array Processing ◽  
Adaptive Antenna ◽  
Adaptive Antenna Array

scholarly journals Investigating and Modeling of Cooperative Vehicle-to-Vehicle Safety Stopping Distance

2021 ◽  
Vol 13 (3) ◽  
pp. 68
Author(s):  
Steven Knowles Flanagan ◽  
Zuoyin Tang ◽  
Jianhua He ◽  
Irfan Yusoff
Keyword(s):  
High Reliability ◽  
Base Station ◽  
Ieee 802.11P ◽  
Packet Losses ◽  
The Road ◽  
V2v Communication ◽  
Stopping Distance ◽  
Vehicle To Vehicle ◽  
V2v Communications ◽  
On The Road

Dedicated Short-Range Communication (DSRC) or IEEE 802.11p/OCB (Out of the Context of a Base-station) is widely considered to be a primary technology for Vehicle-to-Vehicle (V2V) communication, and it is aimed toward increasing the safety of users on the road by sharing information between one another. The requirements of DSRC are to maintain real-time communication with low latency and high reliability. In this paper, we investigate how communication can be used to improve stopping distance performance based on fieldwork results. In addition, we assess the impacts of reduced reliability, in terms of distance independent, distance dependent and density-based consecutive packet losses. A model is developed based on empirical measurements results depending on distance, data rate, and traveling speed. With this model, it is shown that cooperative V2V communications can effectively reduce reaction time and increase safety stop distance, and highlight the importance of high reliability. The obtained results can be further used for the design of cooperative V2V-based driving and safety applications.

Wave Arrival Direction Estimation Adaptive Antenna Array with Music Algorithms

2011 ◽  
Vol 179-180 ◽  
pp. 1342-1345
Author(s):  
Ping Chuan Zhang ◽  
Li Min Hou ◽  
Bu Yin Li
Keyword(s):  
Antenna Array ◽  
Research Field ◽  
Radar System ◽  
Adaptive Antenna ◽  
Passive Radar ◽  
Arrival Direction ◽  
Matlab Simulation ◽  
Adaptive Antenna Array ◽  
Direction Estimation ◽  
Wave Arrival

Passive radar based on GSM is a hot research field of new illuminators passive radars, and the wave arrival direction estimation is the key problem for detecting target. This paper designed adaptive antenna array for the GSM passive radar system, and give the complete Matlab simulation to verify the execution of the schedule, meanwhile, the result shows that the MUSIC algorithms is high accurate in the wave arrival direction compared with the Capon. All of this made a useful contribution to the research and application of the GSM-based passive radar.

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