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4th International Conference on signal processing and Computer Science, SPCS 2023

作者： Yang, Zhiwei Xu, Yufeng Li, Jingya Mao, Yongfei Kuang, Hui National Key Laboratory of Radar Signal Processing Xidian University Xi'an710071 China Institute of Remote Sensing Satellite China Academy of Space Technology Beijing100094 China

ISBN: (纸本)9781510672505

Reduced-dimension (RD) space-time adaptive processing (STAP) technique has achieved good clutter suppression performance in real data processing. However, the traditional F$A method suffers from performance degradation in presence of clutter fluctuation. Extended F$A method (E-F$A) is an effective approach to improve the performance in such a clutter environment, but it requires high computational complexity and sample support. In this paper, a novel reduced-dimension method for E-F$A clutter suppression is proposed. Firstly, we extract characteristics of clutter by tensor Tucker decomposition, which can preserve the structural characteristics of the clutter in the spatial and Doppler domains. Then, we select eigenvectors to construct the RD matrix based on principle components (PC) analysis. Finally, RD data is obtained by multiplying the RD matrix with the original data, and the weight vector for clutter suppression can be calculated. The experimental results based on real measured data validate the effectiveness of the proposed method. © 2023 SPIE.

关键词： Space time adaptive processing

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Improved multiple hypothesis tracking using incomplete measurements for group targets 2

Improved multiple hypothesis tracking using incomplete measu...

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

作者： Ni, Na Jiang, Qi Hu, Cheng 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

Tracking targets within a group has received much attention in the radar field recently years. Group targets are usually closely spaced with similar velocity, making it hard to distinguish multiple targets. For precise target tracking, the tracking radar usually employs a narrow beam to achieve the high range-angular resolution. However, targets may enter and exit the narrow beam frequently during the observation, bringing difficulty for stable tracking. Moreover, it is also hard to distinguish different targets when their tracks intersect on the range-doppler plane. These kinds of incomplete measurements increase the difficulty of group targets' association and tracking. Therefore, this paper proposes an improved multiple hypothesis tracking method using incomplete measurements. The adaptive detection probability model and track intersecting probability are combined in the multiple hypothesis tracking framework to reduce false associations and improve tracking performance. Finally, simulation and experiment results verified the effectiveness of the proposed method. © 2024 IEEE.

关键词： Target tracking

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An Analysis of Clutter Characteristics for Arbitrary Orbital Plane Configuration of Space-borne Bistatic radar 4

An Analysis of Clutter Characteristics for Arbitrary Orbital...

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4th International Conference on signal processing and Computer Science, SPCS 2023

作者： Tan, Xiao Yang, Zhiwei Li, Xianghai Xu, Xingyuan Mao, Yongfei Jiang, Di National Key Laboratory of Radar Signal Processing Xidian University Xi'an710071 China Institute of Remote Sensing Satellite China Academy of Space Technology Beijing100094 China

ISBN: (纸本)9781510672505

Space-borne bistatic radar has stronger viability than monostatic radar. And larger radar cross section (RCS) makes anti-stealth capability of space-borne bistatic radar stronger. However, space-borne bistatic radar is also in down-looking working state, which will suffer serious clutter interference. Since the transmitter and receiver are not placed on the same platforms, bistatic configurations cause clutter characteristics more complicated. It is mainly manifested in resolution spatial variation and tanglesome space-time distribution. In this paper, we first establish the signal model of spaceborne bistatic radar based on satellite-earth relation. Then, we focus on arbitrary orbital plane configuration to study resolution spatial variation and space-time distribution characteristics against bistatic geometric relationships. Last, we adopt the full link evaluation model to evaluate the performance of space-time adaptive processing (STAP) under corresponding bistatic geometric relationships. This paper can provide significant references for system design of space-borne bistatic radar. © 2023 SPIE.

关键词： radar cross section

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An Adaptive Estimation Method for Group Target Number Based on information Theoretic Criterion 2

An Adaptive Estimation Method for Group Target Number Based ...

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

作者： Dou, Libin Jiang, Qi Wang, Rui Shi, Mengxin Zhang, Jichuan 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

The number of individuals within a group is crucial information for the correct association, robust tracking, and situation awareness. Traditional methods using the range profile's peaks are not suitable when targets are densely distributed. The target number estimation algorithms based on monopulse systems have high computational complexity, while those based on array systems require additional sensor resources. To address these issues, this paper proposes a method based on multiple incoherent observations using one monopulse radar. By combining multiple incoherent observations from a single sensor with information theoretic criterion, this approach can estimate the number of targets even when the resolution of a single sensor is insufficient. The effectiveness of the algorithm is verified through simulations, and the algorithm's performance is analyzed. © 2024 IEEE.

关键词： Monopulse radar

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A Novel Channel Error Calibration Algorithm for Multichannel High-Resolution and Wide-Swath SAR Imaging Based on the Oblique Projection 2

A Novel Channel Error Calibration Algorithm for Multichannel...

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

作者： Shi, Zhen Ma, Jingtao Xia, Lang Liu, Yanyang Jiang, Yan Huang, Penghui Ling, Qing Liao, Guisheng Liu, Xingzhao Shanghai Jiaotong University School of Electronic Information and Electrical Engineering Shanghai China Shanghai Normal University College of Information Mechanical and Electrical Engineering Shanghai China Shanghai Institute of Satellite Enginnering Shanghai China Xidian University National Key Laboratory of Radar Signal Processing Xi'an China

ISBN: (纸本)9798331515669

The Azimuth multichannel synthetic aperture radar (SAR) can achieve the high resolution and wide swath (HRWS) imaging of the ground observation scene. However, the inevitable channel phase error will lead to azimuth ambiguities, i.e., the appearance of "ghost"points, which will degrade the SAR imaging quality. To address this issue, a novel channel error calibration method based on the oblique projection is proposed in this article. First, the optimal weight of each Doppler ambiguity component is calculated by the oblique projection. Then, the optimization function is constructed based on the power maximization method, from which the channel phase error can be estimated. Finally, the HRWS-SAR imaging can be precisely accomplished after performing the channel error calibration. The real-measured multichannel SAR data with azimuth ambiguity is provided to validate the proposed method. © 2024 IEEE.

关键词： Synthetic aperture radar

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Robust Adaptive OS-CFAR Detector for Maneuvering Group Target Based on Formation Prior Knowledge 2

Robust Adaptive OS-CFAR Detector for Maneuvering Group Targe...

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

作者： Shi, Mengxin 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 The Advanced Technology Research Institute Beijing Institute of Technology Jinan China

ISBN: (纸本)9798331515669

Detecting the individuals such like the bird flocks or a UAV swarm is a great challenge for radar systems. The lack of prior knowledge about the characteristics of dynamic group targets leads to the performance degradation of conventional detectors. In this study, we present a robust adaptive OS-CFAR detector for maneuvering group targets, leveraging prior knowledge of their formation. The group target's state is updated and predicted using the random matrix approach. The projection length of the group target in the radar beam direction is computed using the predicted information during the group target tracking process. Using the projection length, the number of reference units occupied by the group target within the reference window is determined, and this prior knowledge is applied to update the detection parameters of the OS-CFAR detector. The simulation result shows that the algorithm can update the detection parameters timely and avoid target missed detection. © 2024 IEEE.

关键词： radar tracking

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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 ...

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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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Lightweight NPU Method Based on Hyper-Threading Technology 2

Lightweight NPU Method Based on Hyper-Threading Technology

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

作者： Zhang, Ao Li, Yongrui Li, Wenlong Xie, Yizhuang Zhang, Zhihan Yang, Zhu Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Racobit Electronic Information Technology Co. Ltd Beijing China

ISBN: (纸本)9798331515669

With the rapid development of deep learning, the processing power of Neural processing Unit(NPU) continues to improve. However, this leads to an increasing scale of logical resources for NPU, making it challenging to deploy NPU on Field-Programmable Gate Array(FPGA). To address this issue and enable the deployment of high-computational-power NPU on FPGA, this paper proposes a lightweight NPU method based on hyper-threading technology, considering the characteristics of NPU hardware architecture. This method effectively reduces the logical resources usage of the NPU while ensuring only a minimal decrease in computational power, thus enabling successful FPGA deployment. The overall experiment is based on the Virtex UltraScale+ HBM VCU128 FPGA platform. After testing, it was found that the NPU, previously undeployable, could be successfully deployed after lightweight processing. The resource usage ratio of LUTs decreased by about 10%, and the computational power only decreased by 4%. In other words, by using this method, the scale of logical resource usage of the NPU was effectively reduced while ensuring a minimal decrease in computational power, improving the deployment situation of the NPU on FPGA. This approach has certain reference value and significance for the lightweight design of NPU. © 2024 IEEE.

关键词： Integrated circuit design

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Synthetic Aperture Positioning: A Review

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Journal of Beijing institute of Technology 2024年第2期33卷 89-102页

作者： Guangcai Sun Wenlong Dong Yuqi Wang Mengdao Xing National Key Laboratory of Radar Signal Processing Xidian UniversityXi’an 710071China School of Communication and Information Engineering Xi’an University of Science and TechnologyXi’an 710054China National Key Laboratory of Radar Signal Processing and the Academy of Advanced Interdisciplinary Research DepartmentXidian UniversityXi’an 710071China

Obtaining precise position of interested emitters passively has wide applications in both civilian and military *** from traditional parameter measurement and direct position determination(DPD)method,recently a new passive localization method based on synthetic aper-ture technique,named synthetic aperture positioning(SAP),has been *** method com-pensates for the nonlinear phase produced by relative motion between the moving platform and the emitter,achieving coherent summation of intercepted *** SAP can obtain high-resolution and high-precision localization results at a low signal-to-noise *** paper summarizes the research progress of SAP,including localization principles,spaceborne applications,and application scope ***,the possible future outlook of SAP is considered.

关键词： passive localization synthetic aperture positioning coherent processing

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A lightweight object detection network based on YOLOv5 for SAR image 2

A lightweight object detection network based on YOLOv5 for S...

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

作者： Shen, Aijia Zhao, Liangbo Xu, Fanyun Wang, Guoqing Liu, Wenchao Shen, Zimeng Beijing Institute of Technology National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing Beijing China Institute of Remote Sensing Satellite China Academy of Space Technology Beijing China

ISBN: (纸本)9798331515669

Remote sensing image target detection is one of the key technologies in the field of intelligent interpretation of remote sensing images, and it has significant application value in various areas, including military defense. When performing remote sensing image object detection on airborne and spaceborne platforms, the vast amount of remote sensing data processing and limited computational resources impose high real-time requirements on the object detection algorithms. This paper designs a lightweight object detection network model named YOLOv5-tiny, based on the existing deep learning network detection model YOLOv5s, and deploys it on the Jetson TX2 development board for training and testing. Experimental results show that the proposed YOLOv5-tiny model, when tested on the SAR-AIRcraft-1.0 with an input image size of 640x640, is 10 times smaller than YOLOv5s;it has a computational cost of 5.2 GFLOPs, which is 1/5 of YOLOv5s, and the processing time for a single image is reduced to half that of YOLOv5s, with only a 0.1% decrease in accuracy. © 2024 IEEE.

关键词： Object tracking

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