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Co-Sharing Waveform Design for Millimeter-Wave radar Communication Systems

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China Communications 2024年第6期21卷 305-318页

作者： Cui Gaofeng He Mengmin Xu Lexi Wang Changheng Wang Weidong school of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Key Laboratory of Universal Wireless Communications Ministry of EducationBeijing University of Posts and TelecommunicationsBeijing 100876China China United Network Communications Corporation Beijing 100048China

Millimeter-wave(mmWave)radar communication has emerged as an important technique for future wireless ***,the interference between the radar signal and communication data is the main issue that should be considered for the joint radar communication *** this paper,a co-sharing waveform(CSW)is proposed to achieve communication and radar sensing *** eliminate the co-interference between the communication and sensing signal,signal splitting and processing methods for communication data demodulation and radar signal processing are given *** results show that the bit error rate(BER)of CSW is close to that of the pure communication ***,the proposed CSW can achieve better performance than the existing waveforms in terms of range and velocity estimation.

关键词： co-sharing waveform millimeter-wave radar communication radar sensing range and velocity estimation

Investigation of MAS structure and intelligent^(+) information processing mechanism of hypersonic target detection and recognition system

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Journal of Systems Engineering and Electronics 2020年第6期31卷 1105-1115页

作者： WU Xia LI Yan SUN Yongjian CHEN Alei CHEN Jianwen MA Jianchao CHEN Hao radar Sergeant school Air Force Early-Warning AcademyWuhan 430019China

The hypersonic target detection and recognition system is studied,on the basis of overall planning and design,a multi-agent system(MAS)structure and intelligent+information processing mechanism based on target detection and recognition are proposed,and the multi-agent operation process is analyzed and designed in *** the specific agents construction,the information fusion technology is introduced to defining the embedded agents and their interrelations in the system structure,and the intelligent processing ability of complex and uncertain problems is emphatically analyzed from the aspects of autonomy and *** aim is to optimize the information processing strategy of the hypersonic target detection and recognition system and improve the robustness and rapidity of the system.

关键词： hypersonic target detection recognition intelligent information fusion multi-agent system(MAS)

SAR Tomography with Improved non-Local Means Filtering Based on Adaptive Window

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Journal of Beijing Institute of Technology 2023年第6期32卷 670-684页

作者： Shenglei Wang Zhiyang Chen Yuanhao Li Cheng Hu radar Research Laboratory School of Information and ElectronicsBeijing Institute of TechnologyBeijing 100081China Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of TechnologyBeijing 100081China

In order to mitigate speckle noise in synthetic aperture radar(SAR)images and enhance the accuracy of SAR tomography,non-local means(NL-means)filtering has been proven to be an effective method for improving the quality of SAR *** from considerations like noise type and the definition of similarity,the size and shape of filtering windows are critical factors influencing the efficacy of NL-means filtering,yet there has been limited research on this *** paper introduces an enhanced NL-means filtering method based on adaptive windows,allowing for the automatic adjustment of filtering window size according to the amplitude information of the SAR ***,a directional window is incorporated to align SAR interferograms,achieving the dual objective of preserving filtering standards and retaining detailed *** results on interferogram filtering and tomography,based on TerraSAR-X data,demonstrate that the proposed method effectively reduces phase noise while maintaining texture accuracy,thereby improving tomography quality.

关键词： NL-means filter adaptive window SAR interferogram filtering SAR tomography

Improved Weather radar Echo Extrapolation Through Wind Speed Data Fusion Using a New Spatiotemporal Neural Network Model

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Journal of Tropical Meteorology 2023年第4期29卷 482-492页

作者：耿焕同谢博洋葛晓燕闵锦忠庄潇然 school of Software Nanjing University of Information Science and TechnologyNanjing 210044 China China Meteorological Administration radar Meteorology Key Laboratory Nanjing 210023 China Jiangsu Meteorological Observatory Nanjing 210008 China

Weather radar echo extrapolation plays a crucial role in weather ***,traditional weather radar echo extrapolation methods are not very accurate and do not make full use of historical *** learning algorithms based on Recurrent Neural Networks also have the problem of accumulating ***,it is difficult to obtain higher accuracy by relying on a single historical radar echo ***,in this study,we constructed the Fusion GRU module,which leverages a cascade structure to effectively combine radar echo data and mean wind *** also designed the Top Connection so that the model can capture the global spatial relationship to construct constraints on the *** on the Jiangsu Province dataset,we compared some *** results show that our proposed model,Cascade Fusion Spatiotemporal Network(CFSN),improved the critical success index(CSI)by 10.7%over the baseline at the threshold of 30 *** experiments further validated the effectiveness of our ***,the CSI of the complete CFSN was 0.004 higher than the suboptimal solution without the cross-attention module at the threshold of 30 dBZ.

关键词： deep learning spatiotemporal prediction radar echo extrapolation recurrent neural network multimodal fusion

radar false alarm plots elimination based on multi-feature extraction and classification

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The Journal of China Universities of Posts and Telecommunications 2024年第1期31卷 83-92页

作者： Cheng Yi Zhao Yan Yin Peiwen school of Control Science and Engineering Tiangong UniversityTianjin 300387China Tianjin Key Laboratory of Intelligent Control of Electrical Equipment Tianjin 300387China

Caused by the environment clutter,the radar false alarm plots are *** false alarm points has always been a key issue in radar plots *** this paper,a radar false alarm plots elimination method based on multi-feature extraction and classification is proposed to effectively eliminate false alarm ***,the density based spatial clustering of applications with noise(DBSCAN)algorithm is used to cluster the radar echo data processed by constant false-alarm rate(CFAR).The multi-features including the scale features,time domain features and transform domain features are ***,a feature evaluation method combining pearson correlation coefficient(PCC)and entropy weight method(EWM)is proposed to evaluate interrelation among features,effective feature combination sets are selected as inputs of the ***,False alarm plots classified as clutters are *** experimental results show that proposed method can eliminate about 90%false alarm plots with less target loss rate.

关键词： radar plots elimination density based spatial clustering of applications with noise multi-feature extraction classifier

radar fast long-time coherent integration via TR-SKT and robust sparse FRFT

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Journal of Systems Engineering and Electronics 2023年第5期34卷 1116-1129页

作者： CHEN Xiaolong GUAN Jian ZHENG Jibin ZHANG Yue YU Xiaohan Naval Aviation University Yantai 264001China National Laboratory of radar Signal Processing Xidian UniversityXi’an 710071China school of Electronic and Communication Engineering Sun Yat-Sen UniversityGuangzhou 510000China Unit 91977 of the PLA Beijing 100036China

Long-time coherent integration(LTCI)is an effective way for radar maneuvering target detection,but it faces the problem of a large number of search parameters and large amount of *** the simultaneous compensation of the range and Doppler migrations in complex clutter back-ground,and at the same time improving the calculation efficiency has become an urgent problem to be *** sparse transformation theory is introduced to LTCI in this paper,and a non-parametric searching sparse LTCI(SLTCI)based maneuvering target detection method is *** method performs time reversal(TR)and second-order Keystone transform(SKT)in the range frequency&slow-time data to complete high-order range walk compensation,and achieves the coherent integra-tion of maneuvering target across range and Doppler units via the robust sparse fractional Fourier transform(RSFRFT).It can compensate for the nonlinear range migration caused by high-order motion.S-band and X-band radar data measured in sea clutter background are used to verify the detection performance of the proposed method,which can achieve better detection performance of maneuvering targets with less computational burden compared with several popular integration methods.

关键词： radar maneuvering target detection sea clutter long-time coherent integration(LTCI) sparse transformation time reversal(TR) second-order Keystone transform(SKT)

Metal–Organic Gel Leading to Customized Magnetic‑Coupling Engineering in Carbon Aerogels for Excellent radar Stealth and Thermal Insulation Performances

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Nano-Micro Letters 2024年第3期16卷 36-52页

作者： Xin Li Ruizhe Hu Zhiqiang Xiong Dan Wang Zhixia Zhang Chongbo Liu Xiaojun Zeng Dezhi Chen Renchao Che Xuliang Nie Key Laboratory of Jiangxi Province for Persistent Pollutants Control and Resources Recycle Nanchang Hangkong UniversityNanchang 330063People’s Republic of China school of Environmental and Chemical Engineering Nanchang Hangkong UniversityNanchang 330063People’s Republic of China Laboratory of Advanced Materials Department of Materials Science and Collaborative Innovation Center of Chemistry for Energy Materials and Collaborative Innovation Center of Chemistry for Energy MaterialsFudan UniversityShanghai 200438People’s Republic of China school of Materials Science and Engineering Jingdezhen Ceramic UniversityJingdezhen 333403People’s Republic of China College of Chemistry and Materials Jiangxi Agricultural UniversityNanchang 330045People’s Republic of China

Metal–organic gel(MOG)derived composites are promising multi-functional materials due to their alterable composition,identifiable chemical homogeneity,tunable shape,and porous ***,stable metal–organic hydrogels are prepared by regulating the complexation effect,solution polarity and curing ***,collagen peptide is used to facilitate the fabrication of a porous aerogel with excellent physical properties as well as the homogeneous dispersion of magnetic particles during ***,two kinds of heterometallic magnetic coupling systems are obtained through the application of Kirkendall ***/nitrogen-doped carbon(NC)aerogel demonstrates an ultra-strong microwave absorption of−85 dB at an ultra-low loading of 5%.After reducing the time taken by atom shifting,a FeCo/Fe3O4/NC aerogel containing virus-shaped particles is obtained,which achieves an ultra-broad absorption of 7.44 GHz at an ultra-thin thickness of 1.59 mm due to the coupling effect offered by dual-soft-magnetic ***,both aerogels show excellent thermal insulation property,and their outstanding radar stealth performances in J-20 aircraft are confirmed by computer simulation *** formation mechanism of MOG is also discussed along with the thermal insulation and electromagnetic wave absorption mechanism of the aerogels,which will enable the development and application of novel and lightweight stealth coatings.

关键词： Metal-organic gels Heterometallic magnetic coupling radar stealth Thermal insulation Computer simulation technology

Joint Beamforming Design for Dual-Functional radar-Communication Systems under Beampattern Gain Constraints

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ZTE Communications 2024年

作者： CHEN Guangyi ZHANG Ruoyu REN Hong LIN Xu WU Wen Key Laboratory of Near-Range RF Sensing ICs Microsystems (NJUST) Ministry of Education school of Electronic and Optical Engineering Nanjing University of Science and Technology school of Electronics and Information Engineering Harbin Institute of Technology

The joint beamforming design challenge for dual-functional radar-communication systems is addressed in this paper. The base station in these systems is tasked with simultaneously sending shared signals for both multi-user communication and target sensing. The primary objective is to maximize the sum rate of multi-user communication， while also ensuring sufficient beampattern gain at particular angles that are of interest for sensing， all within the constraints of the transmit power budget. To tackle this complex non-convex problem， an effective algorithm that iteratively optimizes the joint beamformers is developed. This algorithm leverages the techniques of fractional programming and semidefinite relaxation to achieve its goals. The numerical results confirm the effectiveness of the proposed algorithm.

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Array-error estimation method for multi-channel SAR systems in azimuth

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Journal of Systems Engineering and Electronics 2016年第4期27卷 815-821页

作者： Lun Ma Guisheng Liao Aifei Liu Yanling Jiang Ling Chen school of Information Engineering Chang'an University National Laboratory of radar Signal Processing Xidian University

For multi-channel synthetic aperture radar（SAR） systems, since the minimum antenna area constraint is eliminated,wide swath and high resolution SAR image can be ***, the unavoidable array errors, consisting of channel gainphase mismatch and position uncertainty, significantly degrade the performance of such systems. An iteration-free method is proposed to simultaneously estimate position and gain-phase *** our research, the steering vectors corresponding to a pair of Doppler bins within the same range bin are studied in terms of their rotational relationships. The method is based on the fact that the rotational matrix only depends on the position errors and the frequency spacing between the paired Doppler bins but is independent of gain-phase error. Upon combining the projection matrices corresponding to the paired Doppler bins, the position errors are directly obtained in terms of extracting the rotational matrix in a least squares framework. The proposed method, when used in conjunction with the self-calibration algorithm, performs stably as well as has less computational load, compared with the conventional methods. Simulations reveal that the proposed method behaves better than the conventional methods even when the signal-to-noise ratio（SNR） is low.

关键词： error estimation multi-channel synthetic aperture radar(SAR) system array signal processing