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检索条件"机构=State Key Lab. of Multiphase Complex System"

共 141 条记录，以下是11-20 订阅

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The Effect of Coherent Frequency Diverse Array on Watson-Watt Direction-Finding system 4

The Effect of Coherent Frequency Diverse Array on Watson-Wat...

引用

4th International Conference on Neural Networks, Information and Communication Engineering, NNICE 2024

作者： Liu, Qiang Xiong, Kunlai Guo, Fucheng Xu, Tao National University of Defense Technology State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System College of Electronic Science and Technology Hunan Changsha410073 China

ISBN: (纸本)9798350394375

Frequency diverse array(FDA) offer potential applications for enhancing the RF safety performance of FDA systems. This is due to the time-varying angle-distance coupling characteristics of the transmit beam map, which are caused by small frequency shifts between subarray elements. In this paper, we investigate the impact of coherent FDA signals on amplitude-based direction-finding systems, taking the Watson-Watt direction-finding system as an example. Firstly, we establish receiving model for direction finding of FDA signals. Secondly, we evaluate the error of the direction-finding system when using coherent FDA signals and analyze it with the Cramér-Rao lower bound(CRLB). Finally, we conduct a simulation analysis to validate the proposed theory. Both the theoretical analysis and simulation results demonstrate that coherent FDA signals can improve the radio frequency(RF) stealth performance. Specifically, the analysis and simulation results reveal that coherent FDA signals exhibit superior low-intercept performance for the Watson-Watt direction-finding system. These findings can be applied to all amplitude direction-finding systems. © 2024 IEEE.

关键词： Radio direction finding systems

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Research on 1050 nm high-power narrow linewidth fiber laser based on tapered ytterbium-doped fiber 7

Research on 1050 nm high-power narrow linewidth fiber laser ...

引用

7th Optics Young Scientist Summit, OYSS 2024

作者： Ye, Yun Wang, Xiaolin Wang, Yanbin Zhou, Xuanfeng Jiang, Chenglong Zhang, Defeng Xi, Xiaoming Xu, Xiaojun State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System Luoyang471003 China College of Advanced Interdisciplinary Studies National University of Defense Technology Changsha410073 China

ISBN: (数字)9781510688377

ISBN: (纸本)9781510688360

Compared to conventional uniform fibers, long tapered Yb-doped fibers (T-YDF) have outstanding potential to alleviate the detrimental nonlinear effects due to their unique mode field characteristics along the length direction. In this work, an T-YDF-based short-wavelength narrow linewidth monolithic fiber amplifier was constructed through one-stage MOPA configuration. The fiber amplifier emits at the central wavelength of ~1050 nm, and the output lasing performance is carefully studied for different pumping scheme. The experimental results indicated that compared with the co-pumping scheme, the counter-pump one holds a better properties involving spectral broadening suppression, SRS suppression and TMI threshold enhancement in the 1050 nm narrow-linewidth fiber lasers. As a result, an output power of 3.56 kW was achieved with a slope efficiency of ~83.6% by adopting bidirectional pumping scheme. At the maximum lasing power, the 3dB spectral linewidth was measured ~0.58 nm, and the SRS suppression ratio was greater than ~27.3dB. This work could offer a promising approach for extending the operating wavelength of high-power narrow linewidth fiber lasers. © 2025 SPIE.

关键词： Fiber lasers

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Measurement-based Path Loss Prediction and Analysis in Water Scenarios

Measurement-based Path Loss Prediction and Analysis in Water...

引用

2024 IEEE International Conference on Computational Electromagnetics, ICCEM 2024

作者： Li, Hanpeng Chen, Xiaomin Li, Hangang Ma, Jian Ye, Xuchao Song, Lixin Zhang, Taotao Zhong, Weizhi Zhu, Qiuming Nanjing University of Aeronautics and Astronautics College of Electronic and Information Engineering Nanjing211106 China Aviation Key Laboratory of Science and Technology On Aero Electromechanical System Integration Nanjing211106 China State Key Lab. of Complex Electromagnetic Environment Effects On Electronics and Information System Luoyang471003 China

ISBN: (纸本)9798350383317

Unmanned aerial vehicles (UAVs) have enabled the unmanned management of water areas. Path loss (PL) serves as a critical factor that affects the UAV communication quality. In this work, a PL model for UAV channel in water scenarios is proposed, aiming to explore the multidimensional relationship between transceiver distance, carrier frequency, UAV height, and PL by constructing an Artificial Neural Network (ANN). Moreover, channel measurements are conducted in a river area, and the obtained data are analyzed using the proposed ANN model as well as the close-in (CI) model. The analysis results demonstrates that the PL increases initially and then declines as the UAV height increases. The proposed ANN model has higher prediction accuracy than the classic empirical model, and can achieve precise prediction of the PL in water scenarios. © 2024 IEEE.

关键词： Neural networks

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Interpolation of ISAR Images Based on Principal Component Analysis with Small Samples 8

Interpolation of ISAR Images Based on Principal Component An...

引用

8th International Conference on Signal and Image Processing, ICSIP 2023

作者： Wu, Hanjie Yao, Huiwei Cheng, Yongqiang Zou, Runming National University of Defense Technology College of Electronic Science and Technology Changsha China State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System Luoyang China

ISBN: (纸本)9798350397932

Inverse synthetic aperture radar (ISAR) images that characterize the complete scattering characteristics of enemy aircraft are difficult to be obtained due to the attitude sensitivity of aircraft targets. An interpolation method based on the principal component analysis (PCA) is proposed to achieve the interpolation of ISAR images in this paper. First, an ISAR image pre-processing method is proposed to reduce the effect of ISAR image rotation characteristics. Then, the principle of PCA is analyzed and a 'pairwise' principle is proposed based on the analysis of the image features corresponding to the eigenvalues of ISAR images to inverse ISAR images. Finally, a spherical manifold that characterizes ISAR images with different attitudes is established, while interpolation of ISAR images is achieved by interpolation of geodesic lines on the spherical manifold. Furthermore, compared with the image pixel point interpolation, the deep learning method, and the proposed method in this paper, simulation results indicate that the proposed method is promising. © 2023 IEEE.

关键词： Principal component analysis

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Kalman Filter Algorithm in the Presence of Multipath

Kalman Filter Algorithm in the Presence of Multipath

引用

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

作者： Yuzi, Liu Zhenhai, Xu Dahai, Dai School of Electronic Sciences State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System Changsha China

ISBN: (纸本)9781665452366

When radar is tracking and measuring a low altitude target, the result of antenna beam pointing and height measurement will seriously deviate from the target truth value due to the influence of multipath effect. For the target data obtained by monopulse or other angular measurement algorithms, after Kalman filtering processing, the measurement results of target height with smaller error and the beam pointing at the next moment of antenna can be obtained. Simulation results of one-dimensional linear array and two-dimensional motion plane show that the algorithm can obtain better data processing results, and can effectively reduce the Angle error even under severe multipath interference. © 2022 IEEE.

关键词： Angle measurement

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Comparative Analysis of Monostatic and Bistatic RCS Scattering Characteristics for Corner Reflector

Comparative Analysis of Monostatic and Bistatic RCS Scatteri...

引用

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

作者： Qiu, Mengqi Ai, Xiaofeng Xu, Zhiming Zhao, Feng National University of Defense Technology State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System Changsha China

ISBN: (纸本)9781665452366

The radar corner reflector stands as a typical passive jamming decoy in electronic countermeasures, which presents distinctive Radar Cross Section (RCS) features in monostatic or bistatic radar owing to its particular geometric structure. In this paper, the monostatic and bistatic RCS characteristics of a single octahedral corner reflector and octahedral corner reflector array are analyzed. The impact of different bistatic base angles on the RCS area of the corner reflector is also studied by contrasting the main lobe width and statistical parameters of the RCS, which provides theoretical analysis and data support for the effective identification of targets and corner reflector decoys. © 2022 IEEE.

关键词： Radar cross section

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A Radar Emitter Fingerprint Feature Resistant to Receiver Distortion 5

A Radar Emitter Fingerprint Feature Resistant to Receiver Di...

引用

5th IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2022

作者： Liu, Zhao Liu, Zheng Ruan, Guangxin National University of Defense Technology State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System Changsha China

ISBN: (纸本)9781665479677

In radar specific emitter identification, the non-cooperative receiver itself has fingerprint features similar to the emitter, and the fingerprint features extracted at the receiver are coupled of the two, which limited cross-receiver radar specific emitter identification. To solve this problem, a new fingerprint feature is constructed in this paper, which takes the absolute value of the forward quotient of the neighboring points of the pulse signal spectrum as the emitter feature, weakens the receiver distortion interference by improving the frequency resolution and can be quickly extracted by the Chirp-Z transform. Simulation experiments show that the proposed features can effectively overcome the fingerprint feature shift caused by receiver distortion, have good intra-class aggregation and inter-class differentiability, and achieve higher recognition accuracy than traditional features under the same conditions, proving that the proposed features has important reference value for the practical application of cross-receiver radar specific emitter identification. © 2022 IEEE.

关键词： Radar receivers

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Radar HRRP Target Recognition Based on Composite Deep Networks

Radar HRRP Target Recognition Based on Composite Deep Networ...

引用

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

作者： Kong, Yameng Feng, Dejun Zhang, Jiang National University of Defense Technology State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System Changsha China

ISBN: (纸本)9781665452366

Radar target recognition is to extract the acquired target echo information to achieve the determination of target category and attribute. The feature extraction and classifier in radar target recognition determine the quality of the recognition. However, the shallow structure used by traditional feature extraction algorithms and classifiers cannot fully utilize the original measurement data of radar targets, and it is easy to ignore the hidden information in the data. To solve this problem, a target recognition method based on composite deep networks is proposed. In this paper, autoencoder and convolutional neural network are combined to make full use of the complex function representation capabilities of deep network structure. The effectiveness of the proposed method is demonstrated by experiments with radar high-resolution range profile (HRRP) data based on dynamic scene simulation. The experimental results show that the proposed method of radar target recognition can achieve better performance than traditional method. © 2022 IEEE.

关键词： Radar target recognition

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Polarimetric CSAR Image Quality Enhancement Using Joint Sub-aperture Processing 7

Polarimetric CSAR Image Quality Enhancement Using Joint Sub-...

引用

7th International Conference on Signal and Image Processing, ICSIP 2022

作者： Zheng, Yiying Cui, Xingchao Wu, Guoqing Chen, Siwei National University of Defense Technology The State Key Lab. of Complex Electromagnetic Environ. Effects on Electronics and Information System Changsha China

ISBN: (数字)9781665495639

ISBN: (纸本)9781665495639

Polarimetric circular synthetic aperture radar (CSAR) can obtain the 360° full-azimuth polarization information of target. Due to the anisotropy of most manmade targets, there are great differences in the polarization scattering characteristics at different observation angles. However, full-aperture processing is the coherent accumulation imaging of the full-azimuth polarimetric data directly, which may result in the failure of obtaining the target's polarization characteristics at each azimuth. Focus on this issue, a polarimetric CSAR imaging method using joint sub-aperture processing is proposed. The proposed method mainly contains three steps. Firstly, the polarimetric data is divided into multiple sub-aperture data since manmade targets usually exhibit scattering anisotropic properly. Then, the sub-aperture images are obtained using the back projection (BP) algorithm. Finally, the joint processing image is obtained via combining the maximum SPAN value among all sub-aperture images. The effectiveness of the proposed method is validated using the simulated data of civilian vehicle. Compared with the full-aperture images, the sub-aperture images achieve better image contrast and lower image entropy. In this vein, the image quality of the polarimetric CSAR from the proposed method is enhanced. © 2022 IEEE.

关键词： Synthetic aperture radar

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Multi-Temporal PolSAR Image Classification Based on Polarimetric Scattering Tensor Eigenvalue Decomposition and Deep CNN Model

Multi-Temporal PolSAR Image Classification Based on Polarime...

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2022 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2022

作者： Deng, Jun-Wu Li, Hao-Liang Cui, Xing-Chao Chen, Si-Wei National University of Defense Technology The State Key Lab. of Complex Electromagnetic Environ. Effects On Electronics and Information System Changsha410073 China

ISBN: (数字)9781665469722

ISBN: (纸本)9781665469722

Multi-temporal polarimetric synthetic aperture radar (PolSAR) image is an important tool to monitor crops growth and evaluate disaster damage. The multi-temporal PolSAR data has the high dimensional representation. Benefited from the tensor analysis, a three dimensional polarimetric scattering tensor is established. The polarimetric scattering tensor eigenvalue decomposition is proposed to derive the polarimetric features, which are polarimetric tensor entropy, polarimetric tensor alpha angle and polarimetric tensor anisotropy, respectively. Multi-temporal PolSAR image classification is applied to validate the effectiveness of the proposed features. To further improve the classification accuracy, the 1 × 1 convolutional kernel is introduced to learn the inter-temporal information. For the multi-temporal UAVSAR datasets, the proposed method achieves the excellent classification accuracy in the multi-temporal PolSAR image classification. © 2022 IEEE.

关键词： Image classification

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