In the complex electromagnetic environment of the battlefield, it is particularly important to ensure the communication
network of the UAV cluster and the safety of the UAV. This paper proposes an algorithm for avoidance wireless UAVs
in the UAV cluster. First, the enhanced vector field histogram algorithm is improved by combining the characteristics of
airborne wireless UV coverage and the characteristics of UAV motion. Secondly, using a traceless transformation to
improve the one-step prediction in the Gaussian mixture probability hypothesis density filtering algorithm. Simulation
results show that compared with the A * -based enhanced vector field histogram algorithm, the overall trajectory of the
algorithm in this paper is smoother and there is no obvious jitter when avoiding. Prove the feasibility of this algorithm.
Due to the flexibility and maneuverability of unmanned aerial vehicle (UAV), it is convenient and effective to deploy
multiple UAVs as aerial base stations to provide wireless services to ground users(GUs) at some emergencies (such as
disaster relief and overcrowding). However, because of the limited capacity and electricity of UAV mounted base station
(UAV-BS), it is a challenging problem that how to deploy UAV-BS for on-demand coverage, especially the area to be
covered is large which need multiple UAV-BSs to cooperate to provide wireless connectivity. The different
characteristics of terrestrial channel of ground BS and air-to-ground channel of UAV-BS makes it a new deployment
problem. In order to make full use of the energy of the UAV-BS, this paper proposed a Cyclic K-means coverage
algorithm and the deployment of the UAV base station in three-dimensional space was solved while considering the
quality of service and the load capacity of the UAV base station. Simulations are conducted to evaluate the performance
of the proposed method for different distributions of the GUs.
Haze can affect the optical properties of the atmosphere, so it is necessary to study the UV (ultraviolet) polarization characteristics of haze for atmospheric optical communication. The research focus of this paper is as follows: Based on the single-scattering polarization model of ultraviolet light, the Mie scattering theory and the T-matrix method are used for research. The polarization degree of ultraviolet scattering between spherical and ellipsoidal haze particles with different radii, different real and imaginary parts is simulated. The results show that the smaller the effective radius of the particle and the real part of the complex refractive index or the larger the imaginary part of the complex refractive index, the greater the maximum linear polarization degree. For ellipsoidal particles, the smaller the particle deformation, the greater the maximum linear polarization.
Wireless ultra violet(UV) communication system has the characteristics of strong concealment and all-weather work, and can realize communication in a variety of environments. Establishing a wireless ultraviolet ranging model and introducing a multiple-input multiple-output (MIMO) communication system, the error performance of the MIMO system is calculated, and the influence of its signal-to-noise ratio(SNR), transceiver elevation angle and communication distance on the error rate is analyzed by simulation. Calculation and analysis show that the use of multi-antenna MIMO communication technology can well reduce the bit error rate of the communication system, and improve the anti-fading ability, thereby improving the positioning and guidance accuracy of the unmanned aerial vehicle(UAV) during flight.
With the reforming and opening up, as well as the rapid economic development of china, the shortage of electricity resources in the eastern region has become a problem. Therefore, we have started the program of power transmission from west to east, and have speeding up the development of high-voltage transmission technologies with high efficiency, long-distance, and high-capacity. An important issue during the power transmission is the insulation design. Recently, there have been more and more power grid accidents are escalating. Therefore, timely discovering an forecasting insulation deteriorations using advance detection techniques is of special practical significance for the equipment maintenance and repairing , and especially avoiding power accidents. On this basis, this paper carries out the research of high-voltage transmission line corona discharge detection system using the solar blind and FPGA. The experimental result shows that our system can amplify week signals with different intensity of 5100~5000100 times, with high sensitivity and anti-interference ability. The result also proves that this system can effectively detect the ultraviolet pulse light signal of the corona discharge insulation.
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