Geared by the major national demands and opportunities of the rapid development of the aerospace science and space craft technology, the School of Aerospace Science and Technology (SAST) was founded in Xidian University on July 14th, 2013. SAST has combined the related advantageous disciplines of the School ofTelecommunications Engineering, School of Electronic Engineering, and School of Electro-Mechanical Engineering. SAST mainly focuses on the research of space physical environment, astrophysics, information transmission and space electronic system design.
SAST has79faculty members, including 2 dual-employed academicians,14advisers for Ph.D. programs,12professors,26associate professors and41lecturers.SAST offers various programs for507undergraduates,239postgraduates,and 46Ph.D. candidates.
SAST consists of 3 departments, 3 institutes andalaboratory.The divisions of SAST are organized as following:Departments of Measurement Control and Communication,Navigation and Control, and Intelligent Detection;Institutes of Instrument Science and Technology, Information and Communication Engineering, Control Science and Engineering; andExperiment Center AerospaceScience and Technology.
All faculty members in SAST have experience of chairing or participating in major research projects. SAST has hosted 1 national 973 projectand received excellent results，1 national Natural Science Fund Major Scientific Instrument projectand "Looking for anotherearth" plan. And SAST has been granted 115 national invention patents and more than 316 research papers were indexed by SCI/EI.
1. Spacecraft T.T.& C.
2. Advanced Navigation Technology in Deep Space
3.Simultaneous Wireless Information and Power Transfer (SWIPT) for Wireless Sensors
4. Reliability Theoryand Methodology for Space Electronic System
5. Advanced Integrated Circuits Design
6. Modern Image Engineering and Optoelectronics Detection
7. Advanced Navigation Technology and Its Applications
8. Target Detectionand Tracking Technology
9.Anti-Jamming and Anti-Spoofing Technologies for Satellite Navigation
Main Academic Achievements
1. Plasma Sheath Simulation and Continuous Radio Blackout Reproducing System
We built a novel plasma generator that offers large-scale, continuous, and non-magnetized plasma with a 30-cm-diameter hollow structure, which provides a path for an electromagnetic wave. The plasma is excited by a low-pressure glow discharge, with varying electron density ranging from 10e9 to 2.510e11 cm-3. It can reproduce a continuous radio blackout in UHF, L- and S-bands. The results are consistent with the theoretical expectations. This system is applicable to simulating a plasma sheath, researching communications, navigation,electromagnetic mitigations, and antenna compensation in plasma sheaths.
2. Energy Harvesting Technology
We have prototyped several low-power wireless sensors powered by environment energy, such as thermo energy, radio broadcast energy, or vibrations. The critical technologies include exploration of novel energy sources, high efficient energy converting, and ultra low voltage boost circuits. The testing results indicate that the harvested energy in common daily surroundings is sufficient to drive a basic wireless sensor operating in sleep/wakeup mode, and the stability and continuity of the harvested energy are supposed to be superior to solar energy.
3. Heavy Duty Wireless Power Transmitting Technology
We have proposed a novel wireless power transmitting structure that offers heavy power (more than 1kw while maintaining slim(less than 1cm) and small in size.The total efficiency reaches as high as 90%, supporting stitching and curved shape installation. This technology can be widely applied in powering heavy duty moving parts, such as drive shaft, robot, and oil drilling.
4. Image Processing Based on Visual Perception
The integration modeling theory of the biological visual system was proposed. Undert his framework,series of novel content representation and feature extraction algorithms were designed and successfully applied in small target recognition and tracking, image retrieval and coding, electronic image stabilization,multimedia secure communication, data fusion and panoramic image mosaicing,etc. Experiments show our work has solved the specific target detecting andefficient coding problems in complex environment.
5. Computation Intelligence and Parallel Optimization Algorithms
Novel multi-sub-swarm intelligence framework was proposed. Under this framework,ecological r/K selection inspired optimization algorithm and Lotka-Volterra Model based optimization algorithms were designed and successfully applied in super-resolution imaging, image retrieval, robot path planning, and large-scalemedical image analysis, etc. A series of optimal parameter selection methods were proposed for engineering problems, which can significantly improve the solution quality.
6. Computational Imaging and Non-Invasive Measurement Technology
The computational imaging framework based on the electronic and optical characteristics was established. Electric resistance tomography and electric capacitance tomography are two kinds of non-invasive measurement technologies mainly studied. Using the parallel computing and intelligent optimization technologies, we succeeded in the quantitative measurement of the industrial two-phase flow. Our work can provide new solutions for detection of buried objects and exploration of the oil and gas resources.
7. X-ray Pulsar-based Technologies and Applications on the Autonomous Navigation Positioning
Aiming at solving the critical problems emerging in the BeiDou Navigation Satellite System and the deep space exploration, we conducted a pulsar photon stream simulation based on the semi-conductor laser unit and designed a navigation experimental system. We proposed three novel methods, i.e., a high precision time of arrival (TOA) method for measuring the weak signal, a rapid X-raypulsar-based navigation method for reducing the ambiguity in the whole cycle,and a method for detecting the weak pulsar signal in real time. Based on the technologies of FPGA real time detection and the multi-feature augmentation, we designed and implemented the X-ray pulsar-based autonomous navigation system.Our research on this area has reached the advanced international level and our achievements are of great application significance to the field of the deepspace exploration and the interplanetary autonomous navigation. Our achievements were honored as the second prize of Shannxi Provincial Science andTechnology Progress Award in 2013.
8. Technologies of Target Detection, Target Tracking and Data Fusion
Supported by the research grants from dozens of research projects including thepre-research project, the demonstration verification project, the innovationf unds and the engineering application project, a video-based multi-sensor dataf usion method is proposed and has been applied to the information fusion systemin a maneuvering multi-platform environment. In China, we are the first topropose the theory and its implementations on utilizing the multi-resolutiontheory for the multi-target tracking and the data fusion. We have also applied the theory to the field of modern radar engineering. Furthermore, we have combined the system simulation with the data fusion technology in the practical command and control system. To optimally distribute and manage the sensor resources in a heterogeneous multi-sensor environment, we proposed a novel information fusion method and designed a target threat estimation algorithm based on the application scenarios such as radar, infrared, ESM, laser alarm,target tracking and target pointing. All of our proposed techniques have been successfully applied. Compared with other state-of-the-art technologies (both domestic and international) focusing on the same research field, our work maintains its advancement and has a great potential for future sensor applications.
9. High Sensitivity Satellite Navigation Signal Capturing in the Multi-Mode and Anti-Interference Environment
To satisfy the urgent needs of capturing the multi-mode satellite signal with high sensitivity under the complex electromagnetism surroundings such as the indoor,city and battlefield, two frequency deviation estimation methods with high precision are proposed. The proposed methods are utilized in the joint acquisition of the code phase and the Doppler frequency deviation. The methods established a detection performance model to analyze the joint acquisition of the code and Doppler in theory. Based on the Discrete Cosine Transform (DCT), a transform domain filtering method for the code acquisition is proposed. Both the analytical and simulation results show that our proposed methods can significantly increase the detection probability. Furthermore, an interference cancellation algorithm with low computational complexity is proposed. The design of the algorithm is based on the fact that in canceling the interferenceof weak signal, only the frequency deviation around the integer kHz needs to be considered. The algorithm can effectively increase the probability of detecting the weak signal. To capture the radio frequency signal with high sensitivity,we designed a receiver based on the discrete elements and developed the corresponding multi-mode GNSS receiver. Finally, the multi-array-source compatible high-gain antenna is designed and a platform for signal receiving and processing in a general navigation system is also developed. So far, part of our research findings have already been applied to the teaching experiments and the engineering projects. The results have proved that our proposed technologies perform well in practice.