Science and Technology on Avionics Integration Laboratory

Shanghai, China

Science and Technology on Avionics Integration Laboratory

Shanghai, China
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Feng Q.,Science and Technology on Avionics Integration Laboratory | Gao J.,Northwestern University | Deng X.,Science and Technology on Avionics Integration Laboratory
CGNCC 2016 - 2016 IEEE Chinese Guidance, Navigation and Control Conference | Year: 2016

A combination process of A∗ algorithm incorporating intersection is utilized to design a path planner for unmanned aerial vehicles (UAVs) autonomous navigation. The evaluation index of candidate path points is introduced in this method. It increases the consistency of the target direction and the search direction, and ensures the path towards the direction of the target point. In order to improve the security of the planned path, a path allocation method is designed. Under the same environment of simulation, the efficiency for the UAV path planning of this method is greater compared with the mixed algorithm of Dijkstra and Dijkstra-PSO. © 2016 IEEE.

Deng X.,Science and Technology on Avionics Integration Laboratory | Luo Q.,Northwestern University | Zhao Y.,Northwestern University | Feng Q.,Northwestern University
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2017

Avionics equipment failure prediction by conventional GM (Grey Model) may yield large forecasting errors. Combining GM (1, 1) model with genetic programming algorithm, a kind of GP-GM (1, 1) forecast model was established to minimize such errors. Forecasting sequence was calculated by means of GM (1, 1) model, then genetic programming algorithm was used to modify them further, and the degradation trend prediction of characteristic parameters of avionics equipment was realized. The validity of GP-GM (1, 1) prediction model was testified by tracking and forecasting the experiment data of avionics equipment in real environment. © 2017 SPIE.

Deng X.,Science and Technology on Avionics Integration Laboratory | Wang Y.,Northwestern University | Feng Q.,Northwestern University
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2017

In this paper, a new algorithm that based on discrepancy of polygon intersection area for aircraft recognition is presented. The recognition algorithm process involves three parts: generating polygon of aircraft, placing overlapping plane polygons and computing the area of total intersecting polygons. For the purpose of getting the polygon of aircraft, the picture that was ready to be recognized has gone through a series of pre-processing and the smallest circumference polygon algorithm was used to get approximate polygon of the target contour. To make the two compared polygons have the approximate area, the similar principle was utilized. The matching procedure was divided into four steps including computing intersecting points, computing polygon intersecting sets, computing the intersecting area and getting the intersecting rate to recognize the aircraft. The data structure of algorithm is based on doubly liked list principle. A mass of simulations illustrate that the proposed algorithm is effective and reasonable. © 2017 SPIE.

Tang X.,University of Electronic Science and Technology of China | Tang X.,Science and Technology on Avionics Integration Laboratory | Tharmarasa R.,McMaster University | McDonald M.,Defence Research and Development Canada | Kirubarajan T.,McMaster University
IEEE Transactions on Aerospace and Electronic Systems | Year: 2017

In low signal-to-noise ratio or heavy clutter environments, target track initialization is a challenging task. The maximum likelihood probabilistic data association (ML-PDA) algorithm has been demonstrated to be effective in dealing with this issue. In practical scenarios, multiple signals from one target via different propagation paths can be detected in a scan. Signals from different propagation paths convey useful information and can improve track initialization performance. However, the conventional ML-PDA algorithm assumes that a target can generate at most one detection per scan. That is, it cannot handle multiple target-originated measurements per scan correctly, nor take full advantage of the additional information contained in those seemingly extraneous returns. In this paper, a multiple-detection ML-PDA (MD-ML-PDA) estimator is proposed to rectify this shortcoming. The proposed estimator exploits the additional information available in all measurements by considering the combinatorial events of association that are formed from MD patterns. It is capable of handling the possibility of multiple target-originated measurements per scan with less-than-unity detection probability for various paths in the presence of clutter. The proposed MD-ML-PDA estimator is applied to a simulated sonar target tracking scenario. The same algorithm can be used on other angle-only tracking problems as well. Results show that MD-ML-PDA can effectively handle multiple target-originated measurements and yield improved track initialization performance over the traditional single detection ML-PDA. The Cramer-Rao lower bound for MD track initialization is also derived. © 1965-2011 IEEE.

Xiao G.,Shanghai JiaoTong University | Yun X.,Shanghai JiaoTong University | Wu J.,Science and Technology on Avionics Integration Laboratory
Science China Information Sciences | Year: 2012

Traditional target tracking algorithms based on single sensor images are unstable and have low accuracy. Based on regional target detection and fuzzy region rules, a fuzzy region-based multi-sensor image fusion approach is proposed in this paper. The similarity measure weight is adapted to this dynamic image fusion algorithm, while the tracking method uses the proposed multi-cue mean-shift tracking algorithm. Three experimental results using real world image sequences are evaluated using the steady state square root mean error. The fusion and tracking experiments indicate that the proposed approach is effective and efficient when aiming at a target moving from one area to a different area, which meets the robustness and real-time requirements. © 2012 Science China Press and Springer-Verlag Berlin Heidelberg.

Luo D.,Science and Technology on Avionics Integration Laboratory | Luo D.,Xiamen University | Xu W.,Xiamen University | Wu S.,Xiamen University
Control and Intelligent Systems | Year: 2014

During formation flight for a group of unmanned aerial vehicles (UAVs), the UAV formation sometimes needs to be adjusted or transformed from one to another in cases of environmental change, task alternation as well as the drop of some UAVs in the group. For the adjustment and transformation of flight formation shape,collision between UAVs should be avoided and the formation switch process should be completed with in a given time. In this paper, proportional-integral- derivative (PID) control approach is used to design the controller for UAV formation holding first, then three formation transformation strategies are designed and a control method is adopted to ensure the transformation process can be accomplished within limited time. Simulation results demonstrate the effectiveness of the presented approach for UAV formation control and transformation.

Jiang X.,Harbin Institute of Technology | Jiang X.,Science and Technology on Avionics Integration Laboratory | Yao H.,Harbin Institute of Technology | Zhang S.,Harbin Institute of Technology | And 2 more authors.
2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings | Year: 2013

Videos taken under low lighting condition usually have serious loss of visibility and contrast and are inconvenient for observation and analysis. To solve this problem, this paper presents a real-time night video enhancement approach. As observed that a pixel-wise inversion of a night video has quite similar appearance with the video acquired at foggy days, we use the similar idea of haze removal method to enhance the perceptual quality of the night videos. We present an improved dark channel prior model and integrate it with local smoothing and image Gaussian Pyramid operators. The experimental results demonstrate that the proposed approach can improve the perceptual quality of night videos in real-time in terms of not only enhancing details, but also effectively avoiding excessive enhancement phenomenon. © 2013 IEEE.

Xu Z.,Science and Technology on Avionics Integration Laboratory | Xu Z.,Yantai Naval Aeronautical and Astronautical University | Qu C.,Yantai Naval Aeronautical and Astronautical University | Wang C.,Yantai Naval Aeronautical and Astronautical University
Chinese Journal of Aeronautics | Year: 2013

In order to solve the bearings-only passive localization problem in the presence of erroneous observer position, a novel algorithm based on double side matrix-restricted total least squares (DSMRTLS) is proposed. First, the aforementioned passive localization problem is transferred to the DSMRTLS problem by deriving a multiplicative structure for both the observation matrix and the observation vector. Second, the corresponding optimization problem of the DSMRTLS problem without constraint is derived, which can be approximated as the generalized Rayleigh quotient minimization problem. Then, the localization solution which is globally optimal and asymptotically unbiased can be got by generalized eigenvalue decomposition. Simulation results verify the rationality of the approximation and the good performance of the proposed algorithm compared with several typical algorithms. © 2013 Production and hosting by Elsevier Ltd. on behalf of CSAA & BUAA.

Wang Q.,Science and Technology on Avionics Integration Laboratory | Ai J.-L.,Fudan University
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2012

For the feature that a hypersonic vehicle has a large span of flight height and flight Mach number, and complicated flight environment, the model of which is highly nonlinear, unstable, multivariable coupled and includes uncertain aerodynamic parameters, dynamic surface control method is proposed to design its flight control system. The virtual signal and final control signal are designed by constructing dynamic surface variables and reachable conditions. The method does not involve differentials of some nonlinear signals by adding first order dynamic filters, and the calculation of control law is decreased greatly. The simulation on a generic hypersonic vehicle demonstrates that the proposed method can track the flight commands well. © Copyright.

Shi G.,Northwestern Polytechnical University | Zhang G.,Science and Technology on Avionics Integration Laboratory
ECTI-CON 2015 - 2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology | Year: 2015

In order to enhance the avionics' ground maintenance capabilities, a kind of signal acquisition and excitation system is designed. This paper describes the system overall design, hardware, software configuration and work flow, establishes the system hardware and software architecture, and designs the system's typical circuit, communication protocols, interrupt programs and USB drivers in detail. By using the USB bus as the computer communication bus, the Plug-and-Play (PNP) and Hot-plug problems are solved. Using computer control technology meets the demand on aviation system discrete signals control and detection. The cascade topology structure based on RS-485 bus is employed to solve the problems that the measured signal numbers are uncertainty. © 2015 IEEE.

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