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检索条件"机构=Science and Technology on Radar Signal Processing Laboratory"

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CLUSTERING-BASED TIME-FREQUENCY DOMAIN ADAPTIVE SAR INTERFERENCE SUPPRESSION

CLUSTERING-BASED TIME-FREQUENCY DOMAIN ADAPTIVE SAR INTERFER...

引用

IET International radar Conference 2023, IRC 2023

作者： Cen, Xi Gu, Tong Li, Yachao Zhao, Sizhe Fu, Dongning Yang, Jiarui The National Key Laboratory of Radar Signal Processing Xidian University Xi'an China Hangzhou Institute of Technology Xidian University Hangzhou China The 39th Research Institute of China Electronics Technology Group Corporation Xi'an China HWA-NCUT Radar RF Simulation Laboratory Beijing China

ISBN: (纸本)9781839539954

In the face of the current complex and variable electromagnetic interference environment, the broadband characteristics of synthetic aperture radar (SAR) make it extremely susceptible to other electromagnetic interference in the operating frequency band, which seriously restricts the information acquisition capability of SAR. Existing interference suppression methods based on notch filtering often rely on the interference a priori to set a fixed notch threshold, which suffers from poor adaptive ability and poor generalisation. Aiming at the aforementioned problems, this paper proposes a time-frequency domain adaptive SAR interference suppression method based on clustering, which makes use of the potential difference between the interference signal and the target signal in the time-frequency domain to adaptively locate the interference position in the time-frequency spectrum by unsupervised clustering, and then carries out zero-notch filtering to achieve the interference suppression on the basis of this method. The results of interference suppression from simulated and measured interference data show that the proposed method is able to overcome the need for interference a priori and effectively suppress different types of interference, with strong adaptive capability, generalisation to a wide range of interferences, and has value for practical application. © The Institution of Engineering & technology 2023.

关键词： Frequency domain analysis

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Arbitrary-Shape Text Spotting Based on Global, Pixel and Sequence Semantics 4th

Arbitrary-Shape Text Spotting Based on Global, Pixel and S...

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4th International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2024

作者： Zhang, Chunhu Ibrayim, Mayire Hamdulla, Askar Deng, Qilin Xinjiang Key Laboratory of Signal Detection and Processing Urumqi China Xinjiang University School of Information Science and Engineering Urumqi China Xinjiang University College of Future Technology Urumqi China

ISBN: (纸本)9789819787012

The field of end-to-end text spotting has garnered significant interest in recent years, propelled by the revealed intrinsic synergies between scene text detection and recognition. While advancements have been made, the challenge of arbitrarily shaped scene text spotting persists. This paper introduces an innovative feature augmentation module that addresses the issues of limited receptive fields and weak representation typical of lightweight backbone networks, while also enhancing multi-scale information more effectively and reducing information loss during feature aggregation. Furthermore, to extract a richer set of backbone features, we propose a dual information attention mechanism that enables the backbone network to neuronally focus on salient information. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Semantics

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A S-transform Based Algorithm for Doppler Frequency Rate-of-Change Estimation from Coherent Pulse Train 3

A S-transform Based Algorithm for Doppler Frequency Rate-of-...

引用

2021 3rd International Conference on Computer, Communications and Mechatronics Engineering, CCME 2021

作者： Lan, Zhangfu Peng, Huafeng Zhao, Peiyan National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu610041 China

The traditional Fourier correlation method has the problem of poor accumulation effect, which leads to the low estimation accuracy of Doppler frequency change rate coherent pulse signal under the condition of low signal-to-noise ratio or short pulse duration. To solve this problem, an estimation algorithm based on S-transform is proposed to estimate the Doppler frequency change rate. By means of higher time-frequency aggregation of S transform, the coherent accumulation of the coherent pulse signal is better realized;Then the high accuracy Doppler frequency change rate is obtained by using the minimum variance criterion in the phase domain. Theoretical derivation and simulation results show that the algorithm in this paper can improve the accuracy of about 1 times compared with the traditional algorithm. It lays a solid foundation for the estimation of the high-precision Doppler frequency change rate in the practical application of subsequent projects, and improves the accuracy of target positioning and tracking. © Published under licence by IOP Publishing Ltd.

关键词： Frequency estimation

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High-Speed Targets Detection with Large Pulse Width Wideband LFM signal Based on IAA-CICPF Algorithm 5

High-Speed Targets Detection with Large Pulse Width Wideband...

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5th International Conference on Information Communication and signal processing, ICICSP 2022

作者： Dong, Hang Dai, Fengzhou Feng, Gaojun Xidian University National Laboratory of Radar Signal Processing Xi'an China North Automatic Control Technology Institute Tai'yuan China

ISBN: (纸本)9781665485890

High-speed targets (radial velocity) cause the target echo spectrum spreading and center frequency shift, which causes great difficulties to the traditional target detection and target parameter estimation. The baseband signal of the received echo of a single broadband pulse of a high-speed target is still a linear frequency modulation (LFM) signal, thus the problem of high-speed target detection and parameter estimation can be transformed into the problem of estimating the centroid frequency (CF) and chirp rate (CR) of the LMF signal. In this paper, a method of broadband radar high-speed target detection based on coherent integrated cubic phase function (CICPF) is proposed to detect multiple high-speed moving targets. In addition, the CICPF algorithm is combined with an ultra-fast two-dimensional iterative adaptive approach (2D-IAA) spectral estimation algorithm to reduce the computational cost as well as to reduce the main lobe width and suppress the sideband of the target spectrum for improving the resolution. Simulation experiments show that the method in this paper is effective. © 2022 IEEE.

关键词： Iterative methods

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An antenna beam control method of spaceborne multi-mode imaging SAR based on real-time computing framework 3

An antenna beam control method of spaceborne multi-mode imag...

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3rd China International SAR Symposium, CISS 2022

作者： Qian, Cheng Shao, Zelong Si, Xiaolong Wang, Hao Li, Chao Xing, Mengdao Shanghai Aerospace Electronic Technology Institute Sast Shanghai China Xidian University National Laboratory of Radar Signal Processing Xi'an China

ISBN: (数字)9798350398717

ISBN: (纸本)9798350398717

Since the United States launched the first synthetic aperture radar satellite in 1978, it has attracted widespread attention because of its ability to obtain high-resolution images of almost every corner of the earth, all day, all weather, and regardless of national borders and politics. At present, spaceborne SAR has been widely used in civil and military applications. With the complexity of spaceborne SAR application scenarios, different imaging widths and imaging resolutions are required to deal with different imaging scenarios, imaging targets, and imaging tasks. For different imaging requirements, different imaging algorithms have been proposed, including strip imaging mode, spotlight imaging mode, scan imaging mode, etc. It is of great significance to integrate multiple imaging modes in a spaceborne SAR. Different imaging modes have different requirements for antenna beam pointing. And each imaging mode has the need to quickly switch beam pointing. The phased array antenna can realize the switching of beam pointing with different beam control codes, and the speed of beam direction switching depends on the calculation speed of beam control code. Therefore, the calculation strategy and the calculation speed of the beam control code have become the main problems which restricting the multi-mode imaging of spaceborne SAR. In this paper, a real-time antenna beam control method based on the computing framework of DSP, FPGA and CPU is proposed. According to different imaging modes, the corresponding beam control code calculation strategy is designed. The test results show that relying on the high-performance computing power of DSP and the logic control capabilities of FPGA and CPU, it perfectly meets the needs of quickly completing beam control code calculation to realize beam pointing switching in different imaging modes. This method makes it possible to realize multimode imaging of spaceborne SAR. © 2022 IEEE.

关键词： Antenna phased arrays

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Geolocation Accuracy of Bistatic InSAR Configuration with Geostationary Transmitter and LEO Receivers 7th

Geolocation Accuracy of Bistatic InSAR Configuration with Ge...

引用

7th China High-resolution Earth Observation Conference, CHREOC 2020

作者： Wang, Yuekun Wei, Zhonghao Tian, Feng Zhuang, Long Nanjing Research Institute of Electronics Technology Nanjing China National Key Laboratory of Radar Signal Processing Xidian University Xi’an China

ISBN: (纸本)9789811657344

Spaceborne GEO-LEO bistatic InSAR system with broad application prospects is an effective approach to obtain high-precision digital elevation model (DEM). Nevertheless, the geometry of bistatic interferometry is complex compared with traditional InSAR system, meanwhile the range equation is in the form of round-trip delay. In this paper, the InSAR geolocation equations, based on the GEO-LEO bistatic geometry, are established by combining SAR Doppler equation, phase equation and range equation. Furthermore, the geolocation errors caused by all error sources are derived by calculating the partial derivatives. Simulation experiments are carried out to analyze the geolocation errors, which can obtain meter-level precision and mainly caused by the absolute interferometric phase error, the range error and the baseline measurement error. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Errors

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BD-YOLO: Optimising Insect Imbalance Data Detection Models

BD-YOLO: Optimising Insect Imbalance Data Detection Models

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Wang, Jian-Yi Jia, Zhen-Hong Zhou, Gang Wang, Jia-Jia School of Computer Science and Technology Xinjiang University Urumqi China Xinjiang Uygur Autonomous Region Signal Detection and Processing Key Laboratory Xinjiang University Urumqi830046 China

ISBN: (纸本)9781665410205

Vision-based insect detection is an important task in smart agriculture. Field-collected insect image datasets usually show severe imbalances in categories. Previous models have insufficient accuracy as well as low real-time performance for detecting unbalanced data of insects. To address the issues described above, an improved framework Balance Detect YOLO(BD-YOLO) based on YOLOv8 is proposed in this paper. We innovatively designed Focaler-CPIoU loss to increase the weight of a few classes of samples to achieve the optimisation of pest imbalance data detection. We introduced lightweight convolutional MBConv to improve the recognition accuracy while reducing the number of model parameters. In order to verify the effectiveness of the method in this paper, we established an insect dataset containing six types of insects, in which the most numerous thrips is 431.5 times more than the least numerous chrysopaperla. The experimental results show that compared with YOLOv8, the mAP50 reaches 61.7% with a 73.1% reduction in the number of model parameters, an improvement of 5.4%, and an improvement of 769 in FPS. A feasible approach to optimise the detection of unbalanced number of insects is provided in this paper along with the ability to be deployed on lightweight hardware devices. © 2024 IEEE.

关键词： Invertebrates

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Target detection algorithm with wide field of view in foggy weather based on improved CSLBP operator 4

Target detection algorithm with wide field of view in foggy ...

引用

4th International Conference on Image processing and Intelligent Control, IPIC 2024

作者： Lian, Xiya Jia, Zhenhong Zhou, Gang Wang, Jiajia Song, Sensen Xiao, Xiaohui Shi, Fei College of Computer Science and Technology Xinjiang University Urumqi China Key Laboratory of Signal Detection and Processing Xinjiang Uygur Autonomous Region Xinjiang University Urumqi830046 China

ISBN: (纸本)9781510682313

In order to solve the problem of unclear foreground targets and false foregrounds after performing target detection tasks in foggy video images with wide fields of view, we propose an improved video target detection algorithm for the CSLBP operator to detect foreground targets in different scenes. The improved CSLBP operator is used to extract the texture features of the wide-field image, and the foreground target pixels are judged combined with background modeling. This method is not sensitive to changes in indoor lighting or outdoor sunlight, can effectively solve the shadow problem, and more completely extracts foreground moving targets. It also has obvious effects in bad weather such as foggy weather, and has good robustness. © 2024 SPIE.

关键词： Image enhancement

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INTER-PULSE CARRIER FREQUENCY AGILE DESIGN FOR COGNITIVE radar

INTER-PULSE CARRIER FREQUENCY AGILE DESIGN FOR COGNITIVE RAD...

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IET International radar Conference 2023, IRC 2023

作者： Li, Yin Fan, Tao Yu, Xianxiang Lan, Lan Ding, Huai Cui, Guolong School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China National Key Laboratory of Radar Signal Processing Xidian University Xi'an China The 29th Research Institute of China Electronics Technology Group Corporation Chengdu China

ISBN: (纸本)9781839539954

This paper deals with the joint design of inter-pulse frequency and receive filter to reduce the Doppler sidelobe for cognitive Frequency Agile radar (FAR) working in search and confirmation modes. At first, we introduce an inter-pulse coherent processing method that integrates phase compensation with Weighted Non-Uniform Discrete Fourier Transform (W-NUDFT). Then, a multi-parameter non-convex optimization model is established based on the issue of high Doppler sidelobes caused by inter-pulse non-uniform accumulation. Subsequently, we develop an alternating iterative optimization algorithm that combines Coordinate Descent with Alternating Direction Method of Multipliers (CD-ADMM) to tackle the resulting non-convex optimization problem. Finally, through numerical simulations, the effectiveness of the waveform via the application on weak targets detection accompanied by strong targets is demonstrated. © The Institution of Engineering & technology 2023.

关键词： Convex optimization

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Attention Mechanism Based Technical Phrase Extraction for Patent Text 8

Attention Mechanism Based Technical Phrase Extraction for Pa...

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8th International Conference on Intelligent Computing and signal processing, ICSP 2023

作者： Jiang, Xin Zhou, Peng Zhao, Shu Guo, Yufeng Anhui University School of Computer Science and Technology Hefei China Anhui University Key Laboratory of Intelligent Computing and Signal Processing Hefei China

ISBN: (纸本)9798350302455

Technological innovation is becoming one of the critical factors in promoting social development all over the world. The vigorous development of patent applications in recent years provides an opportunity to reveal the inherent laws of innovation, but it also puts forward higher requirements for patent mining technology. An essential step in patent text mining is to build a technical portrait for each patent, that is, to identify the technical phrases involved, which can summarize and represent the patent from a technical perspective. Previous technical phrase extraction methods thoroughly used technical phrases' characteristics and the relationship between technical phrases. Regarding our observations, the relationship between patent texts and technical phrases is also essential. Specifically, critical technical phrases are more relevant to the patent text and can be discovered by the attention mechanism. Motivated by this, we propose an unsupervised technical phrase extraction method based on the attention mechanism named UTESC. Self-attention captures the importance of technical phrases in sentences, and cross-attention captures the relevance between technical phrases and patents. Extensive experiments and algorithm comparisons on patent datasets have proven the effectiveness of our algorithm. © 2023 IEEE.

关键词： Patents and inventions

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