In this paper, a snowflake-shaped low-profile ultra-wideband (UWB) antenna is reported for dual function multiplexing of the Passive Keyless Entry and Start (PKES) system and the Automated Valet Parking (AVP) system. ...
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In this paper, a snowflake-shaped low-profile ultra-wideband (UWB) antenna is reported for dual function multiplexing of the Passive Keyless Entry and Start (PKES) system and the Automated Valet Parking (AVP) system. This antenna demonstrates preferred properties of omnidirectional radiation patterns and dual polarization. Both horizontally polarized (HP) and vertically polarized (VP) elements cover the UWB band, ensuing reliable signal receiving/transmitting. The omnidirectional radiation patterns are obtained over the whole working frequency band, which is much preferred in uses of PKES and AVP. To realize omnidirectional patterns, the HP antenna comprises eight dual-antipodal Vivaldi antennas arranged in a circular array, connected by a 1-to-8 power divider. Corrugated edges and shorting pins are introduced to improve bandwidth. Meanwhile, the VP antenna is formed by two cross low-profile tapered monopolies, which also provide omnidirectional radiation over the whole UWB range. The proposed antenna boasts a compact size of only 96 × 96 × 7 mm, with a height of 0.07λ min (λ min represents the free-space wavelength at the minimum operating frequency). The realized bandwidth covers 3.06–10.62 GHz, which encompasses the UWB band and V2X band. The measured gain variation in different directions is less than 3 dB, confirming satisfactory omnidirectional radiation. Specifically, in the V2X band, the isolation is better than 25 dB. These advantageous properties render the antenna an ideal candidate for UWB applications of PKES and AVP in IoV. A novel type of horizontally polarized antenna is introduced, forming dual polarization with a crossed vertically polarized antenna Omnidirectional radiation patterns can be observed over the whole horizontal plane for the application band The proposed antenna has a low profile of only 7 mm, which is smaller than the antennas reported in the literature
In order to improve the utilization efficiency of solar energy, based on the in-depth study of the characteristics of solar energy, a control scheme based on daily motion trajectory was designed. In this scheme, singl...
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ISBN:
(纸本)9781728190181;9781728190198
In order to improve the utilization efficiency of solar energy, based on the in-depth study of the characteristics of solar energy, a control scheme based on daily motion trajectory was designed. In this scheme, single chip microcomputer is used as the controller to realize the output of SPWM waveform, and the compound PID with multiplexing selection is used to control the Angle of solar panel, so as to achieve the effect of fast and sensitive tracking of solar illumination. Through the angle sensor, on-line monitoring of the angle data of the solar panel, according to the intelligentcontrol optimization algorithm, combined with single-chip microcomputer control technology, a more optimized control scheme is proposed. The experimental data show that the design effect is good and the expected control goal is achieved.
The triplet Markov field (TMF) model has achieved promising results in synthetic aperture radar (SAR) image segmentation. Focusing on the simple likelihood modelling of an SAR image and the effective optimisation of t...
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作者：
Bian, YuanLiu, MinYi, YunqiWang, XuepingMa, YunfengWang, YaonanHunan University
National Engineering Research Center of Robot Visual Perception and Control Technology College of Electrical and Information Engineering Hunan Changsha China Hunan Normal University
Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing College of Information Science and Engineering Hunan Changsha China
Deep learning based person re-identification (re-id) models have been widely employed in surveillance systems. Recent studies have demonstrated that black-box single-modality and cross-modality re-id models are vulner...
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In order to accurately evaluate the working state of RV reducer, a fault identification method based on the fault identification model established by Self-Organizing Feature Map (SOM) Neural Network is proposed. First...
In order to accurately evaluate the working state of RV reducer, a fault identification method based on the fault identification model established by Self-Organizing Feature Map (SOM) Neural Network is proposed. Firstly, the data measured by the RV reducer test platform are analyzed by wavelet to obtain the wavelet coefficient. Then, combined with the efficiency data of RV reducer, the mean square frequency, center of gravity frequency and frequency variance of the two groups of data are calculated after Fourier transform and power spectrum analysis. After optimization, several eigenvalues are obtained. The eigenvalues are input into the competitive neural network and SOM neural network to establish the fault identification model. Finally, the results of the fault identification model established by the competitive neural network and SOM neural network are compared. The prediction results show that the fault identification model established by SOM neural network can effectively determine the working state of RV reducer.
Particulate environment is frequently encountered in the millimeter wave propagation path. The particles usually produce scattering and absorption to the millimeter wave. Unfortunately, these particles usually have di...
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ISBN:
(数字)9781728129938
ISBN:
(纸本)9781728129945
Particulate environment is frequently encountered in the millimeter wave propagation path. The particles usually produce scattering and absorption to the millimeter wave. Unfortunately, these particles usually have different size, ingredients and even a mixture of many elements. This paper presents a preliminary study of the attenuation of particles on millimeter wave transmission. The dielectric property of water sand and ice were also discussed. The study was conducted at 110 GHz and 220 GHz. Calculation was based on the Mie theory. A full wave simulation was also conducted to better understand the attenuation effect.
It is difficult for a robot to capture object which is thrown out in the environment with natural wind. Equation of state and measurement of the object in the environment with natural wind is studied. Using the measur...
It is difficult for a robot to capture object which is thrown out in the environment with natural wind. Equation of state and measurement of the object in the environment with natural wind is studied. Using the measurement equation and the state equation when there is no natural wind, the average acceleration of the object caused by natural wind can be estimated. Moreover, the variance of the object acceleration caused by natural wind can be estimated using the statistical characteristics and probability distribution of natural wind. Then a method for robot capturing the object based on Kalman filter is proposed. Simulation results show that the trajectory of the object changes obviously when two groups of typical natural wind are used. The object trajectory can be tracked by the robot accurately after it deviates from the object trajectory for about eight sampling periods.
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