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

作者： Li, Yongrui Lv, HuShan Xu, Ming Chen, Liang Yang, Zhu Xie, Yizhuang Beijing Institute of Technology Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Radar Technology Research Institute Beijing China

ISBN: (纸本)9798331515669

The onboard real-time processing of Spaceborne synthetic aperture radar (SAR) is of great significance for the rapid acquisition of surface information. As a key step of SAR imaging processing, the efficiency of data transposition directly affects the imaging quality and processing speed. In order to solve the problem of traditional double data rate synchronous dynamic random-access memory (DDR SDRAM) limiting the transposition speed, this paper proposes a SAR data transposition method based on high bandwidth memory (HBM). The method makes full use of the high bandwidth and multichannel characteristics of HBM, and significantly improves the transposition speed by optimising the data read/write process, providing a new solution for real-time imaging processing of satellite-borne SAR. © 2024 IEEE.

关键词： Dynamic random access storage

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Aircraft detection in Remote Sensing image for Space-borne platform

Aircraft detection in Remote Sensing image for Space-borne p...

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

作者： Tang, Wei Jun, Baozhao Tang, Linbo Pan, Yu Jin, Dongling Quan, Zhengpiao 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 China

ISBN: (纸本)9781728123455

Aircraft detection in optical remote sensing image is an important research direction in the field of remote sensing. The existing detection methods are difficult to achieve satisfactory results. Traditional detection methods are low robustness, due to manual feature modeling are difficult and subject to background interference;The deep learning target detection method, which improves the detection performance at the cost of complexity improvement, cannot be widely used in space-borne platforms limited resources. In view of the above problems, this paper proposes an aircraft target deep learning detection method of lightweight and multi-scale features. On the basis of the multi-scale target detection framework (SSD), the method firstly uses the dense connection structure and the double convolution channels to form the basic backbone networks with feature reuse and high computational efficiency. To improve the detection performance of the small aircraft target, the basis backbone network connects a residual module and deconvolution to compose the multi-scale feature fusion detection module. Compared with the current classical deep learning object detection methods, the experimental results show that the proposed method has the advantages of maintaining low computational complexity and achieving high detection accuracy. © 2019 IEEE.

关键词： Aircraft detection

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A Satellite Data-Driven Coherent Parameters Estimation Method via Hierarchical HGRFT for Distributed Coherent Aperture radar

IEEE Transactions on Radar Systems

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IEEE Transactions on radar Systems 2024年 2卷 791-804页

作者： Li, Pucheng Ding, Zegang Li, Linghao Lv, Linhan Li, Zhe Zhu, Rui Wang, Guanxing Beijing Institute of Technology Radar Research Laboratory School of Information and Electronics Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing100081 China Beijing Institute of Technology Chongqing Innovation Center Chongqing401331 China

The distributed coherent aperture radar (DCAR) utilizes full coherent processing (FCP). Compared to single radar unit observations, N radar units can achieve an N3 times increase in signal-to-noise ratio (SNR), providing an advantage in observing distant targets. However, its stringent requirements for time and phase of multiple radar units make coherent parameters (CPs) estimation the crucial aspect of FCP. This article introduces a satellite data-driven CPs estimation method via hierarchical and hybrid generalized Radon-Fourier transform (HHGRFT). First, the FCP procedure is outlined, and the signal model with CPs is established. Second, the principles for selecting satellites and observation time in the experimental setup are induced, along with an analysis of the SNR variations during processing. Furthermore, through a hierarchical processing approach using the generalized Radon-Fourier transform (GRFT), interpulse coherence (IPC) processing, interunit-radar coherence (IURC) processing, and inter-subaperture coherent or noncoherent processing are sequentially conducted. The utilization of generalized sharpness (GS) and gradient descent method facilitated CPs estimation, subsequently enhancing the SNR post-coherence processing. Finally, the proposed method has been validated through simulation and successfully applied to a real DCAR system. © 2023 IEEE.

关键词： Signal to noise ratio

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Phaseerror analysis and estimation among different sub-channel sinmulti-channel space-borne SAR

Phaseerror analysis and estimation among different sub-chann...

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IET International radar Conference 2015

作者： Wang, Z. Liao, X. Feng, D.B. Ding, Z.G. Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Radar Research Lab. School of Information and Electronics Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781785610387

SyntheticAperture radar (SAR) has the ability to work inevery hour, under all weather conditions. The multichannel SAR well solved the dilemma between the swathcoverage and the azimuth resolution. However in reality, the phase equalization of each sub-channel is influencedby many unideal factors, which can degrade the imagequality. In this paper, firstly the main factors are summarized and their effects are calculated. Then the interferometric phasemethod is introduced to compensate the phase error. Finally we applied the following methods of error estimation and compensation in the channel uncertainty simulation and get a good imagining result.

关键词： Error compensation

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SAR Image Scattering Center Estimation via Atomic Norm Minimization 6

SAR Image Scattering Center Estimation via Atomic Norm Minim...

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6th Asia-Pacific Conference on Synthetic Aperture radar, APSAR 2019

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

ISBN: (纸本)9781728129129

Scatter center matching is one of the choke points of radar automatic target recognition (RATR) based on Synthetic Aperture radar (SAR). Accuracy of scattering center extraction is an important factor affecting target recognition performance. This paper proposes a SAR images scattering center estimation method based on atomic norm minimization (ANM) model. This method models the scattering center estimation problem as a two-dimensional line spectrum estimation problem, then the estimation is performed in a continuous domain via ANM. 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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Adaptive Mainlobe Interference Suppression in Sparse Distributed Array radar Based on Synthetic Wideband Signal 2nd

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2nd International Conference on Machine Learning and Intelligent Communications, MLICOM 2017

作者： Luo, Jian Zhang, Honggang Song, Yuanyuan Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Radar Research Laboratory School of Information and Electronics Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9783319734460

This paper proposes a mainlobe interference suppression method in distributed array radar (DAR) based on stepped frequency synthetic wideband signal. Due to the equivalent large aperture of DAR, it is possible to cancel the mainlobe interference without target signal suppression. The applying of stepped frequency synthetic wideband signal can avoid the different time delays arriving at each array compared with the traditional instantaneous wideband Chirp (linear frequency modulation) signal. Moreover, it can reduce the computational complexity. This method employs the narrowband adaptive processing to each sub-pulse of the stepped frequency signal, and then synthesizes the high resolution range profile (HRRP). As a result, mainlobe interference suppression under wideband signal is accomplished. Mainlobe interference suppression experiment is carried out by using an S-band experimental radar system, an S-band noise jammer and a target simulator. The measured data is processed employing the proposed method, and the result verifies the effectiveness of this algorithm. © 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Beamforming

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A modified imaging interval selection method based on joint time-frequency analysis for ship ISAR imaging 12

A modified imaging interval selection method based on joint ...

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12th European Conference on Synthetic Aperture radar, EUSAR 2018

作者： Li, Gen Zhang, Tianyi Li, Yong Ding, Zegang Ke, Meng Radar Research Lab School of Information and Electronics Beijing Institute of Technology China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Radar Research Lab School of Information and Electronics Beijing Institute of Technology China

ISBN: (纸本)9783800746361

Selecting proper imaging intervals where the ship rotation vector is constant is a very simple method to obtain high-quality ship inverse synthetic aperture radar (ISAR) images. However, existing imaging interval selection methods are usually based on traversal or iteration, which means that they are time-consuming and complex. Thus, to realize imaging interval selection simply and effectively, a modified imaging interval selection method based on joint time-frequency analysis (JTFA) is proposed in paper. Compared with the traditional range-Doppler algorithm (RDA), the proposed method just has one added step of JTFA. real data processing results validate the effectiveness and superiority of the proposed method. © VDE VERLAG GMBH Â Berlin Â Offenbach.

关键词： Ships

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Estimation method of coherent efficiency of distributed coherent aperture radar based on cross-correlation

Estimation method of coherent efficiency of distributed cohe...

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IET International radar Conference 2015

作者： Yin, Pilei Yin, Wen Li, Hui Liang, Zhennan Liu, Zhengcheng Liu, Quanhua Radar Research Laboratory Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing100081 China

ISBN: (纸本)9781849199940

Estimation error of coherent parameter will decrease the coherent performance of distributed coherent aperture radar (DCAR). The evaluation of coherent performance in real time will determine the subsequent work mode of the DCAR. Therefore, a real-time monitoring method of coherent performance should be researched to establish a closed-loop workflow system. In this paper, an estimation method of coherent efficiency of DCAR based on cross correlation is proposed. Firstly, the transmitting coherent efficiency and the receiving coherent efficiency are defined via the cross correlation, which are the composition of full coherent efficiency. In the following, the received echo is modified by unit radar according to coherent parameters, and then the coherent performance is estimated by cross correlating the transmit signal and the modified echo signal. In the end, the simulation is carried out and verifies the effectiveness of the proposed method.

关键词： Efficiency

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A fully coherent motion compensation method of ISAR imaging based on synthetic wideband PD radar

A fully coherent motion compensation method of ISAR imaging ...

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IET International radar Conference 2015

作者： Fan, Hua-Yu Ren, Li-Xiang Zhang, Kang Mao, Er-Ke Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing100081 China Radar Research Lab. Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781849199940

In order to solve the problem of accurate motion compensation of ISAR imaging, and get high quality ISAR images, this paper proposes a fully coherent motion compensation method based on synthetic wideband PD radar. The method adopts phase derived velocity measurement (PDVM) based on range profile cross-correlation (RPCC) that enables it to accurately estimate the instantaneous target velocity, which is an important benefit of the excellent coherence charicteristics of the synthetic wideband PD radar. Applying the estimated velocity to envelope alignment and translational phase adjustment process of ISAR imaging, we finally get high quality ISAR images. The experimental results of ISAR imaging on aircrafts verify that the proposed method is effective.

关键词： Velocity measurement

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Marine Ship Detection Method for SAR Image Based on Improved Faster RCNN

Marine Ship Detection Method for SAR Image Based on Improved...

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2021 SAR in Big Data Era, BIGSARDATA 2021

作者： Chai, Bingqian Chen, Liang Shi, Hao He, Cheng Beijing Key Laboratory of Embedded Real-time Information Processing Technology Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China

ISBN: (纸本)9781665401234

Due to the multi-view imaging principle of synthetic aperture radar (SAR), its imaging process is not limited by any time or any bad weather. The detection of marine ship for SAR image is a very important application in both military and private applications. A marine ship detection method in SAR image about an improved Faster RCNN-based approach is proposed. First, the deepest semantic features of SAR image extracted by Faster RCNN contain less target information and small targets may be ignored, so that we fuse the deepest feature and shallower features in the feature extraction network;Secondly, because the redundant information in the features will produce false alarms, we embed the Convolutional Block Attention Module (CBAM) in the feature extraction network to extract more effective features;Finally, we use bilinear interpolation to obtain floating-point coordinates to optimize RoI pooling which uses rounding quantization, so the error mapping caused by quantization will be reduced. The algorithm of this paper is tested on the SSDD public dataset, and the AP is increased from 0.79 to 0.89. The results demonstrate that the algorithm introduced in this paper has a very significant performance improvement for detecting ship-like targets from SAR images. © 2021 IEEE.

关键词： Synthetic aperture radar

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