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Method for estimating target orientation in single snapshot and coherent echo space

Method for estimating target orientation in single snapshot ...

引用

IEEE International conference on signal processing, Communications and Computing (ICSPCC)

作者： Bibo Zhu Guijuan Han Weihua Cong Science and Technology on Sonar Laboratory Hangzhou Applied Acoustics Research Institute Hangzhou China

ISBN: (数字)9781728172026

ISBN: (纸本)9781728172033

The three-dimensional imaging sonar with small physical size and high integration can detect underwater formations and form image results with centimeter-level resolution in both the forward direction and the depth direction. Due to the limitation of physical size and signal wavelength, the horizontal azimuth resolution obtained by conventional beam-form processing has become a short board for 3D high-resolution imaging. The traditional high-resolution algorithms of MVDR and MUSIC cannot adapt to the characteristics of stratum sonar echo of single snapshot, strong coherent source and a small number of array elements. These traditional high-resolution algorithms cannot guarantee the performance and stability of azimuth resolution of targets in the horizontal direction. This paper avoids the traditional operations of estimating the co-variance matrix, counting multiple snapshot data samples, and reducing the coherence characteristics of the echo space. Through the estimation process of the maximum posterior probability criterion and the iterative convergence process of the constraint equation, the method in this paper can obtain the optimal waveform estimation of the source signal in the spatial scanning orientation. The magnitude of the waveform energy represents the spatial distribution of the target bearing. After simulation analysis and experimental data processing, the algorithm can achieve high-resolution imaging of the target orientation under the single snapshot and coherent sonar echo. It has stable processing performance and good technical innovation.

关键词： Azimuth signal resolution Eigenvalues and eigenfunctions Covariance matrices Arrays Mathematical model Imaging

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Position Monitoring of Multiple Moving targets Based on ZigBee and GPS

Position Monitoring of Multiple Moving Targets Based on ZigB...

引用

International conference on data Science and Business Analytics (ICDSBA)

作者： Dai Yu Wang Xuan Long Wenjia Yu Peng Ma Junyu Zhixing College of Hubei University Wuhan China

Moving target monitoring is widely used in many fields such as industrial control, military, and security. Traditional moving target monitoring generally uses infrared, ultra-sonic and other technologies, which have the disadvantages of complex implementation technology, high hardware cost and high environmental requirements. This paper proposes a low-cost, easy-to-deploy, and small-scale environment with little environmental impact by collecting GPS monitoring signals of multi-target speed and location and signal transmission and processing methods based on ZigBee wireless ad hoc network. signal acquisition and real-time data storage, transmission and processing methods have high application value and promotion significance.

关键词： Industrial control Zigbee Memory Real-time systems Hardware Trajectory Security

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Micro-motion Feature Extraction Based on Phase-Derived Velocity Measurement for High-Speed targets

Micro-motion Feature Extraction Based on Phase-Derived Veloc...

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2019 IEEE International conference on signal, Information and data processing, ICSIDP 2019

作者： Fan, Huayu Li, Wenji Ren, Lixiang Mao, Erke Yang, Jian Department of Electronic Engineering Tsinghua University Beijing China Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Key Laboratory of Electronic and Information Technology in Satellite Navigation Ministry of Education Beijing China

ISBN: (纸本)9781728123455

The target micro-motion features contain unique structural information and motion information, which can be utilized as an important basis for target recognition. At present, the main constraints of micro-motion feature extraction for high-speed targets include that the translational compensation is inaccurate, the scattering points are difficult to distinguish, the micro-motion amplitude is small, the data rate is not high enough, and so forth. The phase-derived velocity measurement (PDVM) method based on wideband radar has phase-magnitude velocity measurement precision, which can accurately reconstruct the target motion while ensuring high data rate, and meet the micro-motion measurement requirements of high-speed targets. In this paper, a PDVM method for high-speed targets based on wideband direct sampling LFM radar is proposed. The high-precision velocity measurement performance and micro-motion measurement capability of the proposed method are verified by simulation. © 2019 IEEE.

关键词： Velocity measurement

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Distinguishing small targets from Sea Clutter Using Dynamic Models

Distinguishing Small Targets from Sea Clutter Using Dynamic ...

引用

IEEE Radar conference (RadarConf)

作者： Schlangen, Isabel Charlish, Alexander Fraunhofer Inst Commun Informat Proc & Ergon FKIE Fraunhoferstr 20 D-53343 Wachtberg Germany

ISBN: (纸本)9781728116792

Radar signal processing for maritime surveillance and reconnaissance is a difficult problem due to the occurrence of sea clutter. The sea surface is highly reflective and agile, therefore the received radar return has a high intensity and it is often correlated in time and space due to undulation. Classical approaches try to suppress the clutter signal on the sensor or measurement level, however such methods usually do not take temporal information over multiple dwells into account. This article provides an analysis of an approach that simultaneously tracks the observed objects and the correlated clutter signals and classifies them based on the correspondence of their state history with the target- and clutter-specific dynamic models. Furthermore, it is demonstrated that this tracking based classifier maintains good accuracy even on downsampled data, which is representative of a scanning radar. The described method is tested on datasets of the 2006 Fynmeet trial conducted by the Council for Scientific and Industrial Research (CSIR).

关键词： Clutter Sea measurements Target tracking Radar cross-sections Radar tracking Sea surface

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Application of concurrent full waveform inversion for elastic properties using Rayleigh and body waves in data from the ARID 2D land model

Application of concurrent full waveform inversion for elasti...

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International Petroleum Technology conference 2020, IPTC 2020

作者： Ren, Li Zhang, Houzhu Liang, Hong Liu, Hongwei McMechan, George University of Texas at Dallas United States Aramco Services Company Houston Research Center United States EXPEC Advanced Research Center Saudi Aramco Saudi Arabia

ISBN: (纸本)9781613996751

In areas of complicated near-surface structures, estimation of an accurate near-surface velocity is challenging and this usually results in a distorted image of deeper targets. Surface waves have strong energy and decay exponentially with the depth, but they usually have high signal-to-noise ratios. Surface waves are strongly depending on S-wave velocities and also include information of P-wave velocity, density and attenuation of both P- and S-waves. Conventional inversion based on dispersion curves can only produce 1D S-wave velocity model. Full waveform inversion of surface waves breaks this limitation and can provide 2D or 3D high resolution near surface S-wave velocity, and reasonable P-wave velocity and density as well. Envelope of seismogram contains effective lower frequencies information which usually is not available in the seismogram. Combined with a multi-frequency strategy, cascadeded inversion of envelope-based and waveform-based misfit functions of both Rayleigh and body waves can reduce cycle skipping for FWI and estimate models with high resolution. This is due to the broader frequency bandwidth and composite contributions from Rayleigh waves and body waves. We test this method on the Arid 2D model, a typical near surface structure designed to include challenges in land seismic processing. Due to the high sensitivity to S-wave velocity and strong energy of Rayleigh waves, concurrent FWI of Rayleigh and body waves using cascaded envelope and waveform inversion produces S-wave velocity model with highest resolution. The resolution of P-wave velocity and density is lower than that of S-wave velocity. The small low velocity anomalies and faults at very shallow depths in the P- and S-wave velocity models are clearly defined. The low velocity structures at greater depths are better inverted in the S-wave velocity than in the P-wave velocity. Copyright 2020, International Petroleum Technology conference.

关键词： Rayleigh waves

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Three-dimensional Imaging Sonar signal processing System Based on Blade Server 2

Three-dimensional Imaging Sonar Signal Processing System Bas...

引用

2019 2nd International conference on Advanced Algorithms and Control Engineering, ICAACE 2019

作者： Zeng, Xiangrui Liu, Jingyang Gao, Bo Science and Technology on Sonar Laboratory Hangzhou Research Institute of Applied Acoustics Hangzhou310012 China

The three-dimensional high-resolution imaging sonar uses multi-beam technology combined with synthetic aperture technology to achieve centimeter-level imaging of small underwater targets. It has a good imaging effect on underwater anchoring, sinking mine and buried mine target detection and underwater topography, and has a wide range of military and civil engineering applications. The system has a large amount of data transmission and computation, including multiple functional modules such as synthetic aperture, high resolution array processing, image processing, and target recognition. The software architecture is complex and real-time system development faces serious challenges. The blade servers have been widely used in the telecommunications, financial and other big data processing fields as for the high efficiency, stability and autonomy. This paper introduces a cluster 3D imaging signal processing system based on x240m5 blade server. The message queue communication (ZMQ) is used to realize the stable transmission of large data volume. At the same time, the mixed programming technology of C language and Matlab language combines the convenience of real-time and software integration, which greatly shortens the development cycle. The system runs stably and realizes the imaging recognition of the small spheres and their clump weights in the simulated target water. © Published under licence by IOP Publishing Ltd.

关键词： Synthetic apertures

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Building Scene Recognition Based on Deep Multiple Instance Learning Convolutional Neural Network Using High Resolution Remote Sensing Image 2019

Building Scene Recognition Based on Deep Multiple Instance L...

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Proceedings of the 2019 International conference on Video, signal and Image processing

作者： Jiafen Xie Kai Xu Zhili Li Qi Bi Kun Qin China University of Geosciences Wuhan China Wuhan China School of Remote Sensing and Information Engineering Wuhan University Wuhan China Wuhan city China

ISBN: (纸本)9781450371483

As the typical man-made objects, buildings play a special role in remote sensing images. This paper proposes a building scene recognition method based on deep multiple instance convolutional neural network. Scene classification is formulated as a multiple instance learning (MIL) problem in which local scene regions are regarded as instances and assigned with different labels. Through a trainable MIL pooling based on a spatial attention mechanism to select the most relevant instances adaptively and produce the scene-level predictions. Experimental results on UCM data set and small targets data set collected based on the GF-2 show that the method can improve the accuracy of building scene recognition using high resolution remote sensing image. Particularly, it solves the problem that it is difficult to detect the small buildings correctly and provide a new idea of scene recognition of buildings.

关键词： building scene recognition convolutional neural network(CNN) multiple instance learning(MIL) small building targets

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A Low-Power Scalable signal processing Chip Platform for 5G and Beyond - Kachel 53

A Low-Power Scalable Signal Processing Chip Platform for 5G ...

引用

53rd Asilomar conference on signals, Systems, and Computers (ACSSC)

作者： Fettweis, Gerhard Hassler, Mattis Wittig, Robert Matus, Emil Damjancevic, Stefan Haas, Sebastian Pauls, Friedrich Nam, Seungseok Grigoryan, Nairuhi Tech Univ Dresden Vodafone Chair Dresden Germany Tech Univ Dresden Barkhausen Inst Dresden Germany

ISBN: (纸本)9781728143002

Current 5G chip solutions have the focus on delivering the extreme: an end-to-end experience of 5ms latency and a minimum of 1Gb/s data rate. This is what seems to be the requirement for the vast market of 5G smartphones. However, 5G applications cover three orders of magnitude of latency (2000ms-2ms) and five orders of magnitude of data rate (10kb/s to 1Gb/s). Hence, how can we build solutions that require only a small window of latency-rate parameters? E.g., for factory automation, we can expect 10-100Mb/s at a maximum of 5ms end-to-end latency to address the needs. We introduce a scalable hardware/firmware solution to this problem, which we named "Kachel". This requires writing parameterized firmware only once and allows its automatic remapping onto scalable hardware. The hardware scales at two levels of hierarchy: At node-level, a new memory interface allows for multiple processors as well as accelerators to efficiently share common memory sub-blocks such that energy-expensive copying of memory becomes obsolete. At the MPSoC-level, we propose a tiled method with an advanced router and NoC management. This platform scales at both levels of hierarchy to address the 5G requirement of interest. It is ready for other applications stretching beyond 5G.

关键词： MPSoC SDR SDF 5G wireless communications

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Maritime small targets Detection Method for Passive Bistatic Radar Using Non-Cooperative Radar as Illuminator of Opportunity

Maritime Small Targets Detection Method for Passive Bistatic...

引用

signal, Information and data processing (ICSIDP), IEEE International conference on

作者： Song Jie Wang Guoqing Zhang Caisheng Research Institute of Information Naval Aviation University YanTai China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

This paper proposes the maritime small targets detection method of passive bistatic radar (PBR) using a noncooperative pulse radar as an illuminator. Compared with other opportunity illuminators, the transmitting signal of a radar usually has a better ambiguity function, which leads to a higher range resolution, but there is a problem that radar transmitting signal parameters are unknown, and radar signal processing, such as pulse compression, non-coherent integration, and CFAR processing cannot be conducted accurately. The proposed method estimates radar signal parameters from the direct-path signal, and uses estimated parameters to radar signal processing of the scattered echo. The experiments use the shore-based maritime surveillance radar as a transmitter and ships in the harbor as the targets, which show that the proposed method can be applied to maritime small targets detection successfully.

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New Doppler processing for the Detection of small and Slowly-Moving targets in Highly Ambiguous Radar Context 26

New Doppler Processing for the Detection of Small and Slowly...

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European signal processing conference (EUSIPCO)

作者： Aouchiche, Linda Ferro-Famil, Laurent Adnet, Claude Univ Rennes 1 Rennes France Thales Air Syst Limours France

ISBN: (纸本)9789082797015

This paper presents a novel Doppler processing scheme for pulse Doppler radars operating in at intermediate Pulse Repetition Frequency (PRF) and suffering from range and Doppler ambiguities. One of the main drawbacks of the classical Doppler processing approach concerns the suppression of small and slowly-moving targets when rejecting ground clutter returns. In order to address this problem a two-step Doppler method is proposed in this paper. The first step uses a new iterative algorithm that resolves ambiguities and detects fast (exo-clutter) targets. The detection of slow (endo-clutter) targets is then performed by an adaptive detection scheme that uses a new covariance matrix estimation technique. Pulse trains with different characteristics are then associated for enhanced detection performance.

关键词： Doppler effect Clutter Covariance matrices Training data signal resolution Estimation Doppler radar

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