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Deep forest for radar HRRP recognition

Deep forest for radar HRRP recognition

引用

IET International Radar Conference 2018, IRC 2018

作者： Wang, Yanhua Bi, Xuejie Chen, Wei Li, Yang Chen, Qiao Long, Teng Radar Research Lab 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 Racobit Radar Technology Research Institute Co. Ltd. Beijing China

High-resolution range profile (HRRP) has received intensive attention in the radar automatic target recognition filed. Here, deep forest is applied to the recognition of HRRP. The deep forest is a deep learning method, which is a cascade of ensemble learners. In each layer, there are various ensemble learners. The input of each layer is the combination of the previous layer output and the original input data. The number of cascade levels can be adaptively determined such that the model complexity can be automatically set. Experiments based on measured data show that deep forest is feasible and achieves highly competitive performance for HRRP recognition. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Deep learning

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Multi-channel RF signal acquisition system design based on AD9361

Multi-channel RF signal acquisition system design based on A...

引用

Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Ce Wang Shanqing HU Xingming LI Yingying Chen Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of technology Beijing Racobit Electronic Information Technology Co. Ltd

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

The modern communication and radar systems has been faced with the constraint of size, weight and power (SWaP), and this also goes for their front-end acquisition systems. Currently, the AD9361 RF transceiver has been gradually employed due to its low cost and low power. However, its internal PLL mode can't support the fast frequency hopping because its time-cost calibration period, and also it doesn't support the multi-channel RF synchronization. Therefore, the AD9361 is unsuitable for some applications with severe requirements on phase and frequency hopping speed. In this paper, we proposed a fast frequency hopping technique by employing configurable external oscillator, and proposed a multi-channel phase synchronization technique based on phase pre-calibration. The techniques are validated on a 16-channel AD9361 acquisition system and the result show the design provides a reference for system design under the SWaP constraint.

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Experiment and Results of bistatic UAV SAR

Experiment and Results of bistatic UAV SAR

引用

Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Meng Ke Youwang Chen Yong Li Linghao Li Feifeng Liu Zegang Ding School of information and Electronics Beijing Institute of Technolog Beijing China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

This paper introduces the bistatic UAV SAR experiment conducted in June 2018. The UAV platforms have limited load and space, which is a great challenge for synchronization. To meet the requirement, a very small atomic clock and direct signal were used for synchronization in this experiment. The imaging results proved the feasibility of this synchronization scheme.

关键词： experiment bistatic UAV SAR synchronization

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Polarised HRRP scattering centre estimation via atomic norm minimisation

Polarised HRRP scattering centre estimation via atomic norm ...

引用

IET International Radar Conference 2018, IRC 2018

作者： Liu, Haibo Xi, Ying Wang, Yanhua Li, Yang Zhao, Tong Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Racobit Radar Technology Research Institute Co. Ltd. Beijing100081 China

The combination of polarisation and high-resolution technology is a promising research direction for radar automatic target recognition. Fusing the polarisation information into the scattering centre model is able to refine the scattering structural information. This study proposes a fully-polarised radar high range resolution profile (HRRP) scattering centre estimation method based on a multiple measurement vector atomic norm minimisation model. The estimation is performed in a continuous domain, thus avoids the basis mismatch problem. The experimental results demonstrate the superiorities of the proposed method in terms of accuracy and robustness. © This is an open access article published by the IET under the Creative Commons Attribution License (http://***/licenses/by/3.0/)

关键词： Polarization

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Early Detection of Forest Fire Based on Unmaned Aerial Vehicle Platform

Early Detection of Forest Fire Based on Unmaned Aerial Vehic...

引用

Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Xingsha Yang Linbo Tang Hongshuo Wang Xinxin He Beijing Key Laboratory of Embedded Real-time Information Processing Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

As a kind of natural resources, forest is vital to our survival. Once the fire happening in forest is not found in time, it can cause a huge loss. Accurate real-time monitoring of forest fires is not only an important part of forest fire prevention, but also an important means to effectively control the spread of forest fires and reduce economic losses. Forest areas are often geographically widely distributed and inefficient in manual inspections. Therefore, we need a highly mobile early forest fire warning system to ensure the safety of forest resources. UAVs serve as a highly mobile inspection tool to meet inspection requirements of forest fires. Besides, the early flame characteristics are not obvious, and the single source fire detection is easy to false alarm. In view of this, we propose a forest fire detection method that uses optical images to detect smoke and infrared images to detect fire.

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Dual Polarimetric HRRP Sequence Recognition Based on $H/\alpha$ Features

Dual Polarimetric HRRP Sequence Recognition Based on $H/\alp...

引用

Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Liang Zhang Teng Long Yang Li Yanhua Wang Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China Beijing Institute of Technology Chongqing Innovation Center Chongqing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

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/α decomposition. In this method, the H/α 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.

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A Method for High-Speed and Maneuvering Range-Spread Target Detection

A Method for High-Speed and Maneuvering Range-Spread Target ...

引用

Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Pengjie You Zegang Ding Lichang Qian Xu Zhou Yangkai Wei Siyuan Liu 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

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

When detecting range-spread target (RST) with multiple pulses, two phenomena may greatly deteriorate the detection performance. On the one hand, the target scatterers disperse in several range units, which makes the signal to noise ratio (SNR) become lower. On the other hand, high-speed and maneuvering RSTs can easily cause the across-range-unit and across-Doppler-unit effects, which limits the integration gain along slow time. In this paper, a detector is proposed to solve the two problems. The proposed detector first employs generalized Radon-Fourier transform (GRFT) to coherently integrate multiple pulses and then implements noncoherent integration for integrating the energy in different range units. Experiments demonstrate that the proposed detector outperforms the energy integration based Keystone transform detector in both detection and velocity resolution performances, and the proposed detector also achieves better detection performance than GRFT for the RSTs without dominant scatterer.

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INSHORE SHIP CHANGE DETECTION BASED ON SPATIAL-TEMPORAL SALIENCY

INSHORE SHIP CHANGE DETECTION BASED ON SPATIAL-TEMPORAL SALI...

引用

IEEE International Geoscience and Remote Sensing Symposium

作者： Long Ma Wenchao Liu Zhong Han Jue Wang He Chen School of Information Engineering Zhengzhou University Zhengzhou China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China

Automatical inshore ship change detection in optical remote sensing images is meaningful for a wide range of applications, but still a challenging task. In this paper, a visual search inspired model is proposed for inshore ship change detection. The proposed model achieves inshore ship change information extraction based on spatial-temporal saliency detection which mimics visual search mechanism. Experimental results performed on a Google Earth optical remote sensing image data set demonstrate the effectiveness of the proposed model in terms of visual and objective evaluations.

关键词： Marine vehicles Data mining Visualization Image segmentation Remote sensing Task analysis information retrieval

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A Novel CNN Architecture on FPGA-based SoC for Remote Sensing Image Classification

A Novel CNN Architecture on FPGA-based SoC for Remote Sensin...

引用

Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Na Zhang Hao Shi Liang Chen Tong Lin Xin Shao Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China Beijing Racobit Electronic Information Technology Co. Ltd Beijing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

The convolutional neural network (CNN) has achieved extraordinary results for image classification and recognition in-orbit satellite remote sensing applications. However, the implementation of CNN is difficult due to the increasing computational accuracy and complexity of CNN and the special working environment for satellites in orbit. A promising solution for this problem is field-programmable gate array (FPGA) due to its sufficient supporting for parallel computing with low power consumption. And system-on-chip (SoC) is a system that supports parameter reconfiguration. Hence, through applying the Lenet-5 based remote sensing image classification method to SoC, we propose several network mapping methods to reduce the resource consumption and enhance the computational efficiency of FPGA, then, we utilize the proposed methods to design several key modules for the implementation of CNNs, i.e., the convolution module, sigmoid module, pooling module, full connected module, system control module, on-chip cache model, and off-chip DRAM module. The test results show that the proposed hardware system architecture can implement Lenet-5 network and realize the realtime requirements of the system.

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Radar Anti-Retransmitted Jamming technology Based on Agility Waveforms

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

引用

Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Hongyu Wang Xinkun Yang Yang Li Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China Beijing Institute of Technology Chongqing Innovation Center Chongqing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

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.

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