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检索条件"机构=Beijing Key Laboratory of Embedded Real-time Information Processing Technology Radar Research Lab"

共 205 条记录，以下是81-90 订阅

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labeled Random Finite Sets-Based Group Target Tracking with Multi-Detection Model 2

Labeled Random Finite Sets-Based Group Target Tracking with ...

引用

2nd IEEE International Conference on Signal, information and Data processing, ICSIDP 2024

作者： Jiao, Longxiang Jiang, Qi Wang, Rui Beijing Institute of Technology Radar Technology Research Institute School of Information and Electronics Beijing China Beijing Key Laboratory of Real-Time Information Processing Technology of Embedded Beijing China Beijing Institute of Technology The Advanced Technology Research Institute Jinan China

ISBN: (纸本)9798331515669

In radar tracking applications for low-altitude group targets (such as bird flocks or drone swarms), the traditional point target measurement model is often unsuitable due to the complex micro-Doppler signatures and multipath effects. Algorithms based on labeled random finite sets (RFS) challenges with multi-detection problems. This paper presents a new method for tracking low-altitude group targets using labeled RFS in radar systems. To mitigate the disturbance from multi-detection, we propose modified assignment cost matrices in the update process, which reduces the number of false associations, and thus achieves quality enhancement of trajectory estimations. The effectiveness of the proposed method is validated through simulation results. © 2024 IEEE.

关键词： radar tracking

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Strategy of spectrum reconstruction in stepped-frequency SAR imaging

Strategy of spectrum reconstruction in stepped-frequency SAR...

引用

IET International radar Conference 2015

作者： Gao, Wenbin Guo, Yansu Liu, Luosi Ding, Zegang Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Laboratory of Radar Technology School of Information and Electronics Beijing Institute of Technology Beijng100081 China Beijing Institute of Remote Sensing Information Beijng100081 China

ISBN: (纸本)9781849199940

High range resolution of synthetic aperture radar (SAR) can be obtained by using the stepped-frequency technique, but it is still a problem how spectrum reconstruction methods can be combined correctly and effectively with SAR imaging algorithms. This paper analyzes the feasibilities of all the potential combinations between spectrum reconstruction methods and SAR imagingalgorithms, and the optimal combinations are proposed. The simulation results verify the analysis in this paper.

关键词： radar imaging

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SPACEBORNE SAR IMAGING SYSTEM WITH HIGH-PERFORMANCE POLYNOMIAL ENGINES

SPACEBORNE SAR IMAGING SYSTEM WITH HIGH-PERFORMANCE POLYNOMI...

引用

IET International radar Conference 2023, IRC 2023

作者： Zhang, Zhihan Xu, Yinsheng Li, Yongrui Zhang, Ao Xie, Yizhuang Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing100081 China Shanghai Institute of Satellite Engineering Shanghai201109 China

ISBN: (纸本)9781839539954

In recent years, with the development of Synthetic Aperture radar (SAR) technology, the required resolution and imaging bandwidth for spaceborne SAR have been continuously increasing, posing stringent requirements on real-time imaging systems. To address the issue of uneven computing power allocation in implementing the Chirp Scaling (CS) algorithm on an FPGA+DSP platform, a spaceborne SAR imaging system with high-performance polynomial engines was designed, which enables the mapping of the Taylor series-based Chirp Scaling algorithm onto a hardware platform. The system is implemented using Xilinx's XC7VX690T FPGA and TI's TMS320C6678 DSP. The high-performance polynomial engine is designed with a parallel pipeline structure, supporting computation of polynomial up to seventh order. It offers flexible configuration and high versatility. The spaceborne SAR imaging system with high-performance polynomial engines can achieve SAR imaging in 16K×16K resolution with a time of 15.64 seconds, meeting the requirements of real-time SAR imaging applications in large-scale data scenarios. © The Institution of Engineering & technology 2023.

关键词： radar imaging

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ORBIT ERROR ESTIMATION IN GROUND-BASED radar LUNAR 3D IMAGING BASED ON MINIMUM ENTROPY

ORBIT ERROR ESTIMATION IN GROUND-BASED RADAR LUNAR 3D IMAGIN...

引用

IET International radar Conference 2023, IRC 2023

作者： Yang, Yuewen Zhu, Kaiwen Wang, Zhen Ding, Zegang Radar Research Laboratory School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China Beijing Institute of Technology Chongqing Innovation Center Chongqing China

ISBN: (纸本)9781839539954

Ground-based (GB) radar is an effective approach in lunar observation. In GB radar lunar three-dimensional (3D) high-resolution imaging, orbital measurement error will degrade the image quality, and should be estimated and compensated. In this manuscript, an orbit error estimation and compensation method for GB radar lunar 3D imaging based on minimum entropy is proposed. First, echo model considering orbit error is established. Thereafter an autofocus algorithm based on back projection and minimum entropy is proposed to acquire fine-resolved image. Furthermore, particle swarm optimization (PSO) algorithm based on dynamic inertia weight is used to estimate the optimal compensation parameter to minimize the image entropy. Finally, computer simulation results validate the effectiveness of the proposed method. © The Institution of Engineering & technology 2023.

关键词： radar imaging

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GEOSYNCHRONOUS SAR 3-D TARGET RECONSTRUCTION BASED ON MULTI-ANGLE OBSERVATION

GEOSYNCHRONOUS SAR 3-D TARGET RECONSTRUCTION BASED ON MULTI-...

引用

IET International radar Conference 2023, IRC 2023

作者： Zhu, Kaiwen Zhang, Tianyi Li, Linghao Ding, Zegang Radar Research Laboratory School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China Beijing Institute of Technology Chongqing Innovation Center Chongqing China

ISBN: (纸本)9781839539954

Geosynchronous synthetic aperture radar (GEO SAR) has the ability of multi-angle observation, and the potential to reconstruct the three-dimensional (3-D) structure of target. To fully utilize this ability, a 3-D target reconstruction method based on multi-angle observation and forward projection is proposed. The core idea of the proposed method is to determine whether target exists on a 3-D position by forward projecting the 3-D position onto the multi-angle SAR images. The proposed method is well validated via simulation and real data experiment. © The Institution of Engineering & technology 2023.

关键词： 3D reconstruction

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Ground-based radar Three-Dimensional Imaging for Moon under Sparse Observations

Ground-based Radar Three-Dimensional Imaging for Moon under ...

引用

IET International radar Conference 2023, IRC 2023

作者： Liu, Peiyao Zhu, Kaiwen Wang, Zhen Ding, Zegang Radar Research Laboratory School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China Chongqing Innovation Center Beijing Institute of Technology Chongqing China

ISBN: (纸本)9781839539954

Ground-based radar system (GBRs) is a powerful tool to obtain three-dimensional (3-D) imagery of the interested celestial bodies, such as the moon. However, in 3-D moon imaging with GBRs, positions for observation are distributed sparsely, and it will lead to imaging ambiguity in height dimension. In this article, a ground-based radar 3-D imaging method for moon under sparse observation is proposed. First, baseline distribution is analyzed, and an optimal baseline selection algorithm based on spatial baseline density maximization is applied. Then, a tomographic 3-D imaging algorithm is discussed, and compressive sensing (CS) technique is used to recover the elevation signal under sparse observation. Moreover, computer simulations are conducted and validate the proposed method. © The Institution of Engineering & technology 2023.

关键词： radar imaging

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Dual Polarimetric HRRP Sequence Recognition Based on H|α Features

Dual Polarimetric HRRP Sequence Recognition Based on H|α Fe...

引用

2019 IEEE International Conference on Signal, information and Data processing, ICSIDP 2019

作者： Zhang, Liang Long, Teng Li, Yang Wang, Yanhua Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing100081 China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China

ISBN: (纸本)9781728123455

Dual polarimetric high resolution range prole (HRRP) is able to provide polarimetric and high resolution scattering characteristics information of radar target, which are very useful for automatic target recognition (ATR). In this paper, a novel feature extraction method, which combines both polarimetric and high resolution information, is proposed for dual polarimetric HRRP sequence based on H/alpha decomposition. In this method, the Halpha decomposition is applied on HRRP sequence by temporal average instead of traditional spatial average, which retains the full resolution of HRRP data and provides efficient polarimetric characteristics information of target scattering centers. This paper also presents a scattering mechanisms classification method using the extracted H and α features, and analyzes the effect of noise and clutter on the two features as well as classification performance. The application and effectiveness of the proposed method are demonstrated via outfield experiments. Results show that scattering mechanisms and structural components of a volumetric target are recognized over high resolution range cells, and the proposed method is able to provide support for HRRP sequence-based radar ATR. © 2019 IEEE.

关键词： Automatic target recognition

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A Novel Insect Wingbeat Frequency Extraction Algorithm Based on Ambiguity Function

A Novel Insect Wingbeat Frequency Extraction Algorithm Based...

引用

IET International radar Conference 2023, IRC 2023

作者： Ye, Zihan Li, Weidong Wang, Rui Zhang, Fan Wang, Jiangtao Hu, Cheng Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Advanced Technology Research Institute Beijing Institute of Technology Shandong Jinan250300 China Beijing Key Laboratory of Real-Time Information Processing Technology of Embedded Beijing100081 China

ISBN: (数字)9781837240982

ISBN: (纸本)9781839539954

Accurate extraction of wingbeat frequency is crucial in insect radar for behavior analysis and species identification of migratory insects. However, the accuracy of extraction cannot be guaranteed due to the weak wingbeat signals and complex insect targets. To address this, this paper proposes an innovative method for enhancing insect wingbeat frequency extraction. This algorithm uses the periodic characteristics of wingbeat micro-motion signals to extract its delay frequency signal to locate its maximum value through the ambiguity function. Then, extract the insect wingbeat frequency by smoothing compensation and Fourier transform, which improves accuracy of insect wingbeat frequency extraction. The efficacy of our algorithm is validated through comprehensive simulations and field experiments, affirming its potential as a robust solution. © The Institution of Engineering & technology 2023.

关键词： Invertebrates

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radar Anti-Retransmitted Jamming technology Based on Agility Waveforms

Radar Anti-Retransmitted Jamming Technology Based on Agility...

引用

2019 IEEE International Conference on Signal, information and Data processing, ICSIDP 2019

作者： Wang, Hongyu Yang, Xinkun Li, Yang Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing100081 China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China

ISBN: (纸本)9781728123455

An anti-retransmitted jamming technique is proposed by utilizing phase and frequency-coded waveform techniques. To generate the effective agility waveforms, improved Logistic-Map chaotic sequences generation and optimization algorithm are proposed to obtain sets of orthogonal polyphase codes. The simulated ambiguity function of the agility waveform shows that the agility waveform presents a high resolution in the range domain. The performance of the waveform under different signal-to-interference ratios(SIR) is analyzed. Compared to conventional LFM waveforms, the agility waveform is capable of suppressing the retransmitted jamming effectively, by up to 30dB when the SIR is -5dB. © 2019 IEEE.

关键词： Jamming

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Polarimetric SAR Image Scattering Center Estimation via Atomic Norm Minimization

Polarimetric SAR Image Scattering Center Estimation via Atom...

引用

2019 IEEE International Conference on Signal, information and Data processing, ICSIDP 2019

作者： Xi, Ying Wang, Yanhua Chen, Wei Liu, Haibo Li, Yang Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing100081 China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China

ISBN: (纸本)9781728123455

Polarization is one of the most important characteristics of electromagnetic wave, which offers another dimension of information to radar automatic target recognition (RATR). The combination of polarization and SAR technology is a vital research direction for RATR. Fusing the polarization information into the scattering center model is able to refine the scattering structural information. This paper proposes a fully-polarimetric SAR images scattering center estimation method based on multiple measurement vector (MMV) atomic norm minimization (ANM) model. The experimental results indicate the superiorities of the proposed method in terms of accuracy and robustness. © 2019 IEEE.

关键词： Synthetic aperture radar

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