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Impact analysis of CFAR detection for false targets generated by the phase-switched screen

Impact analysis of CFAR detection for false targets generate...

引用

Signal, Information and Data Processing (ICSIDP), IEEE International Conference on

作者： Ran Zhang Yuan S Chen Yu X Zhang Lei Guo Liang J Bai Ping L Zhang National key laboratory of science and technology on test physics and numerical mathematics Beijing institute of Space Long March Vehicle No. 1 Nanda Hongmen Road of Fengtai District Beijing China National key laboratory of science and technology on test physics and numerical mathematics Beijing institute of Space Long March Vehicle Beijing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

The phase-switched screen (PSS) has been proved effective in the application of shielding a target or deceiving the radar system when the modulation frequency of it is set greater or smaller than the signal bandwidth. This paper analyses impacts of false targets generated by PSS (PSS-decoys) echoes on radar constant false alarm rate detection. The generation principle of PSS-decoys and the key factors that influence the signatures of PSS-decoys are introduced briefly at first. On base of it, the detection cost caused by the false alarm and false dismissal in a search period of radar is chosen as the criteria of detection performance. The detection costs of CA-CFAR, OS-CFAR, CMLD-CFAR detectors under multiple decoys jamming environment are analysed. Specially, we investigate the influence of the PSS key factors on detection costs from the perspective of simulation. The results show that detection costs will increase remarkably due to false targets existing and it is sensitive to the switching frequency, and the relationship to the duty ratio is tightly relevant to SNR. Among three detectors, the detection costs of CMLD-CFAR detector are higher than that of adopting CA-CFAR and that of adopting OS-CFAR.

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A New One-Dimensional Photonic Crystals for Infrared Emission Modulation

A New One-Dimensional Photonic Crystals for Infrared Emissio...

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International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Yuning Zhang Shengjun Zhang Hang Song Yichun Cui Jiaqi Liu Lihong Ai National Key Laboratory of Science & Technology on Test Physics and Numerical Mathematics Beijing China Capital Aerospace Machinery Corporation Limited Beijing China

With the wide application of infrared detection in the military field, the problem of how to reduce the probability of military targets being detected and identified has become urgent. In this paper, one-dimensional photonic crystals with wide incidence angle range are analyzed and simulated. The reflectance and transmittance properties of different structures are discussed with application in modulation of infrared emission.

关键词： Reflectivity Simulation Modulation Photonic crystals Germanium Computational electromagnetics Stability analysis

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Study on 2D Plasma Photonic Crystals with Defect Modes Using FDTD Method

Study on 2D Plasma Photonic Crystals with Defect Modes Using...

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International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Hang Song Yuning Zhang Jiaqi Liu Lihong Ai Shengiun Zhang National Key Laboratory of Science & Technology on Test Physics and Numerical Mathematics Beijing China Captial Aerospace Machinery Coporation Limited Beijing China

In this paper, a typical uniform unmagnetized two-dimensional plasma photonic crystal with a single linear defect mode is simulated based on the finite difference time domain method, and the effects of defect mode position and size on its photonic band gaps characteristics are explored respectively. the research can provide an idea for tuning the electromagnetic properties of two-dimensional plasma photonic crystals.

关键词： Plasma properties Time-frequency analysis Photonic band gap Two dimensional displays Plasmas Time-domain analysis Electromagnetics

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Adaptive-Correlation Back-Projection Imaging Algorithm for Ground Penetrating Radar in Complex Scenes

Adaptive-Correlation Back-Projection Imaging Algorithm for G...

引用

2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

作者： Dai, Qianqi Lu, Gao Jiang, Tao Harbin Engineering University Key Laboratory of Advanced Marine Communication and Information Technology Ministry of Industry and Information Technology Harbin150001 China Beijing Institute of Space Long March Vehicle National Key Laboratory of Science and Technology on Test Physics and Umerical Mathematics Beijing100076 China

ISBN: (纸本)9781665452366

The current correlation back-projection algorithm can only deal with the imaging of objects at the same buried depth. However, for objects with different depths and different relative permittivity, the electromagnetic wave echo composition is complicated, there is no strong correlation between the time delays of the reflected echoes, the echo signal in the center of the detection area is used as a reference signal to perform consistent correlation processing, which will cause serious suppression. In this paper, an improved adaptive correlation algorithm was proposed. Firstly, the algorithm of maximum variance between clusters (OSTU) is used to extract the horizontal position and number of buried objects, and then the relevant parameters are adaptively adjusted according to the reflected energy and horizontal position of different targets. Finally, back-projection algorithm imaging is performed. Simulation experiments showed that the algorithm proposed in this paper can effectively improve the imaging effect, improve the detection probability of buried objects, and adapt to the variability of detection scenes. © 2022 IEEE.

关键词： Ground penetrating radar systems

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Cooperative Jamming Resource Allocation Based on Artificial Bee Colony Multi-objective Decomposition

Cooperative Jamming Resource Allocation Based on Artificial ...

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2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

作者： Lu, Gao Dai, Qianqi Xia, Jiechen Beijing Institute of Space Long March Vehicle National Key Laboratory of Science and Technology on Test Physics and Umerical Mathematics Beijing100076 China Ministry of Industry and Information Technology Harbin Engineering University Key Laboratory of Advanced Marine Communication and Information Technology Harbin150001 China

ISBN: (纸本)9781665452366

Electromagnetic countermeasure plays an important role in modern warfare. Cooperative jamming is one of the main means to counter radar network. In order to improve jamming efficiency, a jamming resource allocation algorithm based on artificial bee colony multi-target decomposition is proposed in this paper. The algorithm takes into account the interference effect and cost, and uses the decomposition mechanism to improve the search efficiency. The simulation results show that the allocation solution set obtained by this algorithm has good performance in diversity and spacing. © 2022 IEEE.

关键词： Resource allocation

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Performance Analysis of UAV Communication Network Based on Formation Network Model

Performance Analysis of UAV Communication Network Based on F...

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Computer Communication and Artificial Intelligence (CCAI), International Conference on

作者： Jing Cao Xiaoqin Xue Guojiang Xia Beijing Institute of Aerospace Systems Engineering Beijing China National Key Laboratory of Science and Technology on Test Physics & Numerical Mathematics Beijing China

ISBN: (数字)9798350362763

ISBN: (纸本)9798350362770

UAV formation networks are widely used in military and civilian industries due to their high flexibility and scalability, however, due to the complex space environment in which UAV formations are located, they are susceptible to different types of interference such as climate and radiation, resulting in changes in service transmission performance. Therefore, in order to evaluate the impact of interference on the performance of UAV formation network, this paper first constructs a UAV formation network model, then defines a series of index parameters to measure network performance from the perspective of network structure and network business, and conducts simulation experiments for the network spatial structure and performance of different user QoS (Quality of Service), and finally carries out theoretical analysis and simulation evaluation of the performance changes of the network before and after different types of interference. It provides a reference for the design and application of UAV formation network.

关键词： Industries Analytical models Scalability Computational modeling Interference Quality of service Autonomous aerial vehicles

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Ballistic Target Micro-motion Parameters Identification with CNN Denoiser Based on Deep Learning

Ballistic Target Micro-motion Parameters Identification with...

引用

International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Ruixin Lai Xia Ai Shaoran Wang Mengmeng Li Jiaqi Liu Dazhi Ding School of Electronics and Optical Engineering Nanjing university of science and technology Nanjing China National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing China

This paper proposes a method to identify micromotion parameters of radar echo with noise based on deep learning. The radar echo database is constructed from the point scattering model and the micro-Doppler spectrogram dataset is obtained then. The convolutional neural network is constructed to denoise radar echo with three kind of noises with different SNR, and target micro-motion parameters are identified.

关键词： Deep learning Parameter estimation Noise reduction Scattering Radar Speckle Radar scattering

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A Novel Deceptive Jamming Method Via Frequency Diverse Array

A Novel Deceptive Jamming Method Via Frequency Diverse Array

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Wei Mao Hui Wang Shunsheng Zhang Xiangrong Liu National Key Laboratory of Science and Technology Test Physics and Numerical Mathematics Beijing China Research Institute of Electronic Science and Technology University of Electronic Science and Technology of China Chengdu China

Different from traditional single-element and phased-array antennas, frequency diverse array (FDA) uses a slight frequency offset across the elements to produce angle-, range- and even time-dependent transmit beampattern, which provides promising potentials to develop new jamming techniques on synthetic aperture radar (SAR) imaging. In this paper, we propose a novel deception jamming method against SAR imaging, which uses FDA to quickly generate false targets. Moreover, the position of the false target is controlled by the jammer, and the number of false targets is determined by the number of FDA elements. The proposed methods are validated by extensive simulation results with range-Doppler imaging algorithm.

关键词： Jamming Synthetic aperture radar Imaging Azimuth Interference Radar imaging

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Composite data fusion algorithm for miniature vehicles building navigation base in formation flying

Composite data fusion algorithm for miniature vehicles build...

引用

IEEE Workshop on Signal Processing Systems (SIPS)

作者： Runle Du Jiaqi Liu Zhifeng Li Zhenhong Niu Zhiye Jiang Yadong Yang National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing China (100076) China Academy of Launch Vehicle Technology Beijing China (100076)

When multiple miniature vehicles with individual position and inter-vehicle distance measurement ability collaborate in a formation, navigation base can be established by data fusion in a decentralized and standalone scheme. A Composite Data Fusion (CDF) algorithm which combines Least Square Error and Kalman Filtering is proposed in this paper to build navigation base with optimized computing stress. In CDF, Enhanced LSE is incorporated as the preprocessing stage to build a coarse estimation and handle temporary or permanent group number failure. KF stage is then built to further alleviate noises in the pre-processed estimations In CDF, the dynamic model can be much simpler than KF, so the computation load is reduced while the result still has the advantage of high precision. Simulation results show that, when the fault rate of measurement in each vehicle goes 5 thousandth, the result is still acceptable. The computation time of the proposed method is less than three percent of that of KF, while its precision is almost the same to that of KF.

关键词： Vehicles Kalman filters Navigation Mathematical model Equations Data integration

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Dual-band checkerboard plasma electromagnetic surface for radar cross section reduction

Dual-band checkerboard plasma electromagnetic surface for ra...

引用

IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)

作者： Qiang Xu Zhifeng Li Jinjun Mo National University of Defense Technology Changsha China National Key Laboratory of Science and Technology on Test Physics & Numerical Mathematical Beijing China

ISBN: (纸本)9781538616093

Radar cross section (RCS) can be reduced along the principal planes by applying electromagnetic band gap (EBG) structures. Checkerboard plasma electromagnetic surface (PES), combining with EBG and plasma layer, can realize a narrow band near 3 GHz and a wide band 10-dB radar cross section reduction (RCSR) covered X-band, by redirecting the scattered fields towards four quadrants. Bistatic RCS of the checkerboard PES is simulated and the results compared to the corresponding perfect electric conductor (PEC) surface show that the maxima of the bistatic RCS pattern are reduced by 5.4 dB at fixed frequency 10 GHz.

关键词： Plasmas Periodic structures Metamaterials Electromagnetics Radar cross-sections Electromagnetic scattering

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