The paper searches for solutions to the problem of detecting a signal from low-flying small-sized objects against the background of interference in the urban environment using radar stations. We propose an adaptive al...
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The paper searches for solutions to the problem of detecting a signal from low-flying small-sized objects against the background of interference in the urban environment using radar stations. We propose an adaptive algorithm that can be used in modem radar systems for detecting and tracking small objects. The developed adaptive algorithm for resolving signals reflected from low-flying objects allows us to take into account the multipath effect. A variant of the practical realization of the adaptive detection algorithm, implemented on an experimental sample of the X-range radar of wavelength, is presented. (C) 2021 The Authors. Published by Elsevier B.V.
Approximate linear methods and nonlinear methods were adopted usually for solving models of nonlinear surveying and mapping parameters adjustment. But, these iterative algorithms need to compare harsh initial value. A...
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Approximate linear methods and nonlinear methods were adopted usually for solving models of nonlinear surveying and mapping parameters adjustment. But, these iterative algorithms need to compare harsh initial value. A kind of new algorithm-adaptive algorithm based on analyzing the general methods was put forward. The new algorithm has quick rate of convergence and low dependence for initial value, so it can avoid calculating complex second derivative of the target function. The results indicate that its performance is better than those of the others.
A network intrusion-tolerant system based on adaptive agorithm is put forward. It adopts a new intrusion tolerance trigger mechanism by use of improved adaptive algorithm, which enhances studying efficiency and ensure...
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ISBN:
(纸本)9781424436927
A network intrusion-tolerant system based on adaptive agorithm is put forward. It adopts a new intrusion tolerance trigger mechanism by use of improved adaptive algorithm, which enhances studying efficiency and ensures that intrusion tolerance system can study in real time and in an unsupervised way. The experimental results show that the intrusion tolerance system based on adaptive algorithm increase sensitivity and adaptability of tolerance to intrusion behavior.
In recent years, sun tracking systems are being increasingly developed to improve the efficiency of PV panels. Due to problems of tracking methods which uses optical sensors, new methods with less practical problems a...
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ISBN:
(纸本)9783642257339
In recent years, sun tracking systems are being increasingly developed to improve the efficiency of PV panels. Due to problems of tracking methods which uses optical sensors, new methods with less practical problems are developing day by day. In this article, we suggest a new method to reduce the problems which exist with sun tracking. In this method, instead of using optical sensor, an adaptive algorithm is used, where recursive equations are employed to calculate Azimuth and Elevation angles of sun. We applied this method on a two-axis sun tracker system with fixed panel on 45 system. Then calculate the efficiency of PV panels. Finally, by comparing the Results of this method with respect to method of optical sensors, it has been shown that the efficiency of this method is higher than methods which used optical sensors.
With the development of cellular mobile communication, CDMA technologies are making giant steps in commercial wireless markets across the world. The smart antenna in the CDMA cellular mobile communication system can b...
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ISBN:
(纸本)0780372689
With the development of cellular mobile communication, CDMA technologies are making giant steps in commercial wireless markets across the world. The smart antenna in the CDMA cellular mobile communication system can be used to reduce the interference and improve the system performance. This paper gives an overview of some general concepts for Smart antennas with focus on the adaptive algorithm according to the characteristics of mobile users and antenna arrays.
作者：
Liu, Gong-XuShi, Ling-FengXidian Univ
Minist Educ Key Lab High Speed Circuit Design & EMC Xian 710071 Shaanxi Peoples R China Xidian Univ
Inst Elect CAD Xian 710071 Shaanxi Peoples R China
Magnetic data obtained from a magnetic sensor usually fluctuate in a certain range, which makes it difficult to estimate the magnetic heading accurately. In fact, magnetic heading information is usually submerged in n...
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Magnetic data obtained from a magnetic sensor usually fluctuate in a certain range, which makes it difficult to estimate the magnetic heading accurately. In fact, magnetic heading information is usually submerged in noise because of all kinds of electromagnetic interference and the diversity of the pedestrian's motion states. In order to solve this problem, a new adaptive algorithm based on the ( s heading information. First, a 3D indoor localization platform is set up based on MPU9250. Then, several groups of data are measured by changing the experimental environment and pedestrian's motion pace. The raw data from the attached inertial measurement unit are calibrated and arranged into a time-stamped array and written to a data file. Later, the data file is imported into MATLAB for processing and analysis using the proposed adaptive algorithm. Finally, the algorithm is verified by comparison with the existing algorithm. The experimental results show that the algorithm has strong robustness and good fault tolerance, which can detect the heading information accurately and in real-time.
In order to avoid the flight dysfunctions caused by the failure and damage of the actuator, the sensor, and the structure of the unmanned aerial vehicle (UAV) for the UAV could return safely or continue to complete th...
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ISBN:
(纸本)9781728144634
In order to avoid the flight dysfunctions caused by the failure and damage of the actuator, the sensor, and the structure of the unmanned aerial vehicle (UAV) for the UAV could return safely or continue to complete the missions, the adaptive control technology, the PID control technology, and other related technologies have been combined to study the fault tolerant control of UAV. At the same time, in order to ensure the speed and stability of the aircraft, a robust H-infinity based multi-model adaptive control system is designed for the attitude control of the quadrotor UAV rotor aircraft;in addition, the effectiveness of the above method is verified through simulation experiments. The results have shown that if the flight control system can detect and identify the system faults in time and take certain fault tolerant controls, the survivability of the UAV would be greatly improved.
Because of the flexible cliques and effective prior models, Gibbs Random Field (GRF) has gained more and more attentions in image processing. However, in those GRF-based image denoising algorithms, Gibbs distribution ...
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ISBN:
(纸本)0780395840
Because of the flexible cliques and effective prior models, Gibbs Random Field (GRF) has gained more and more attentions in image processing. However, in those GRF-based image denoising algorithms, Gibbs distribution binary potential clique parameter, beta, can't be changed adaptively with different area features when we adopt fuzzy Gibbs random field for image de-noising. The article shows an adaptive algorithm to alter the value of beta. The approach can automatically decrease beta to keep details near the object edges and increase beta to suppress noises in smooth areas. Based on several simulation cases, the proposed adaptive algorithm is compared with the standard GRF algorithm, and the results show that the new algorithm behaves better in identifying and resolving capability.
Full-duplex wireless communication system transmits and receives signals in a same frequency band and at a same time, which solves the problem of the low using efficiency of limited radio spectrum resource, and double...
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ISBN:
(纸本)9781467371407
Full-duplex wireless communication system transmits and receives signals in a same frequency band and at a same time, which solves the problem of the low using efficiency of limited radio spectrum resource, and doubles the channel capacity. However, it also brings a new problem that the full-duplex node will generate a strong self-interference signal. And to deal with the self-interference signal, using existing negative self-interference cancellation and analog self-interference cancellation technology are not enough, effective digital self-interference cancellation is needed for further cancellation. This paper proposes an optimized adaptive algorithm of digital self-interference cancellation based on improved variable step. By using a iteration threshold, we establish a new nonlinear relationship between the step factor and the error signal, which overcomes the slow change problem when the error signal is getting closed to zero, and accelerates the convergence rate.
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