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Novel unequal spacing multi-pulses technology to enhance SNR for pulse laser radar

Novel unequal spacing multi-pulses technology to enhance SNR...

引用

IEEE International conference on Robotics and Biomimetics

作者： Xiangcheng Chen Keyi Wang Tao Mei Shaoping Wang Huawei Liang Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China Hefei China Institute of Advanced Manufacturing Technology Chinese Academy of Sciences Hefei Anhui P. R. China

ISBN: (纸本)9781479973989

A novel multi-pulses technology with unequal space to enhance SNR of pulse laser radar is proposed in this letter. Traditional multi-pulses technology employing equal spaces multi-pulses always leads to many outputs once the time window has pulses no matter the number of pulses, which is difficult to identify which one is the main pulse we want to get. Thus we propose a method using unequal spaces multi-pulses to improve the poor performance of the equal space multi-pulses technology, which means our method will get only one pulse output when the time window has pulses input. Both simulation and experimental results show the validity of our algorithm.

关键词： Laser radar Noise Semiconductor lasers signal processing algorithms Mathematical model Space technology Receivers

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Image registration for an imaging system on-board fast moving military vehicle

Image registration for an imaging system on-board fast movin...

引用

IEEE National conference on Aerospace and Electronics (NAECON)

作者： Jinchun Wang Joohwan Chun Scientific Computing Laboratory Department of EECS Korea Advanced Institute of Science and Technology Daejeon South Korea

We present an image registration algorithm based on the area-correlation method. Image registration is indispensable for moving target detection and tracking with the infra-red search and tracker (IRST). In our approach to image registration, displacements between frames are obtained using the area correlation, and then, the search image is rectified to the reference image by compensating displacements. Detection of a moving target is achieved by the frame difference method. The proposed algorithm has been tested with real image data, and we observe that the proposed algorithm is able to compensate the displacement of two images in that we get only a few detection points when we subtract two registered images.

关键词： Image registration Vehicles Target tracking Object detection Military computing signal processing algorithms Infrared imaging Matched filters Layout Automatic control

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GLS Integrity Assessment Method Based on Clustering and Improved EM Parameter Estimation

GLS Integrity Assessment Method Based on Clustering and Impr...

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International conference on Information Science and Control Engineering (ICISCE)

作者： Zhong Lunlong Zhang Zhuoxuan Fan Zhendong Tianjin Key Laboratory for Advanced Signal Processing Civil Aviation University of China Tianjin China

To solve the problem of inaccurate GBAS landing system integrity estimation caused by non-Gaussian error, an algorithm based on clustering and improved EM parameter estimation was proposed. Firstly, based on the Gaussian mixture distribution, a pseudo-range error observation distribution model containing non-Gaussian errors was established, and then the pseudo-range error observation values were roughly classified by using the local clustering center point communication clustering algorithm. An improved EM algorithm was proposed for the Gaussian mixture distribution. The expansion coefficient is selected appropriately according to the parameter estimation results. Experimental results show that the proposed algorithm can effectively estimate the parameters of the pseudo-range error observation distribution model and improve the accuracy of GLS integrity estimation.

关键词： Information science Parameter estimation Correlation Control engineering Navigation Simulation Clustering algorithms

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Shooting two birds with two bullets: How to find Minimum Mean OSPA estimates

Shooting two birds with two bullets: How to find Minimum Mea...

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International conference on Information Fusion

作者： Marco Guerriero Lennart Svensson Daniel Svensson Peter Willett Research & Advanced System Design Department Electronica S.p.A. Italy Department of Signals and Systems Chalmers University of Technology Gothenburg Sweden Department of Electrical and Computer Engineering University of Connecticut USA

Most area-defense formulations follow from the assumption that threats must first be identified and then neutralized. This is reasonable, but inherent to it is a process of labeling: threat A must be identified and then threat B, and then action must be taken. This manuscript begins from the assumption that such labeling (A & B) is irrelevant. The problem naturally devolves to one of Random Finite Set (RFS) estimation: we show that by eschewing any concern of target label we relax the estimation procedure, and it is perhaps not surprising that by such a removal of constraint (of labeling) performance (in terms of localization) is enhanced. A suitable measure for the estimation of unla-beled objects is the Mean OSPA (MOSPA). We derive a general algorithm which provided the optimal estimator which minimize the MOSPA. We call such an estimator a Minimum MOSPA (MMOSPA) estimator.

关键词： Birds Target tracking signal processing algorithms Joints Labeling Algorithm design and analysis

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Tracking Object Using Object-strips Color Feature

Tracking Object Using Object-strips Color Feature

引用

WASE International conference on Information Engineering, ICIE

作者： Liang Zhang Rong Wu Tianjin Key Laboratory of Advanced Signal Processing Civil Aviation University of China Tianjin China

The paper presents a new tracking scheme based on the object-strips color (OSC) feature. Firstly, the images captured by the camera are transformed into a format which is suitable for object tracking. Secondly, background subtraction method is used to detect the moving object. Then the OSC feature is represented by dividing the detected object into several strips and integrating the mean hue of each strip into a one-dimensional vector. Finally, the detected object is tracked by matching the OSC features using correlation coefficient criteria. Since the OSC feature includes both color and spatial distribution information of the detected object, the proposed method is more reliable than traditional color-based tracking algorithms. Furthermore, the OSC feature, which is a one-dimensional vector, is so simple that can satisfy the real-time requirement in video surveillance easily. The experimental results show that the proposed method has a good performance for tracking objects.

关键词： Image color analysis Feature extraction Correlation Histograms Pixel Strips Real time systems

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Efficient use of multipliers in microprocessor implementation of Hamming distance for binary sequence correlation

Efficient use of multipliers in microprocessor implementatio...

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IEEE International Networking and Communications conference, INCC

作者： M.A. Tahir A. Munawar I.A. Taj Center for Advanced Studies in Engineering Islamabad Pakistan

The paper focuses on a microprocessor implementation of the Hamming distance for binary correlation. It uses the fact that the binary correlation result can be derived from binary convolution (i.e., modeled with AND gates instead of XOR); as a result, convolution of multiple bits with multiple bits can be computed by a single multiplication instruction. This follows from a general proof for base-n convolution that is presented. Furthermore, using a hierarchical shift-addition approach, we can also reduce the number of additions in the subsequent step. The paper also shows that this approach can also be used in the frequency domain where an N/spl times/N point binary circular convolution can be modeled using an N/spl times/M double precision FFT, where M is a sub-multiple of N depending on the kernel size. Comparison of the time/frequency approaches is presented for different kernel/image sizes, with the help of benchmarking results.

关键词： Microprocessors Hamming distance Binary sequences Convolution signal processing algorithms Face recognition Fingerprint recognition Fast Fourier transforms Digital communication Digital images

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Model-set adaptation using a fuzzy Kalman filter

Model-set adaptation using a fuzzy Kalman filter

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International conference on Information Fusion

作者： Zhen Ding H. Leung K. Chan Advanced Systems Development Raytheon Systems Canada Limited Waterloo Canada Department of Electrical and Computer Engineering University of Calgary Calgary AB Canada Department of Computing Hong Kong Polytechnic University Kowloon Hong Kong China

ISBN: (纸本)2725700000;2725700019

In this paper, a fuzzy Kalman filter is proposed to combat the model-set adaptation problem since it is found to be able to extract more exactly dynamic information. The fuzzy Kalman filter uses a set of fuzzy rules to adaptively control the noise covariance and that makes it more suitable for real radar tracking. The proposed fuzzy Kalman filter is then combined with an IMM algorithm, hence, a fuzzy IMM (FIMM) algorithm is obtained. The performance of the FIMM algorithm is compared with that of an adaptive IMM (AIMM) algorithm using real radar target tracking data. Simulation result shows that the FIMM algorithm outperforms the AIMM algorithm in terms of both the root mean square prediction error and the number of track loss.

关键词： Adaptation model signal processing algorithms Target tracking Acceleration Data mining Fuzzy sets Filters Radar tracking Drives Process control

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A Leaner Carrier for the New 5G Air Interface

A Leaner Carrier for the New 5G Air Interface

引用

IEEE Vehicular Technology conference

作者： Kilian Roth Cecilia Carbonelli Michael Faerber Josef A. Nossek Institute for Circuit Theory and Signal Processing Technical University Munich Standards and Advanced Technology Intel Mobile Communications

ISBN: (纸本)9781479980895

This paper studies the physical layer performance of a lean carrier with reduced reference symbols and reduced control channel overhead as a possible candidate for a new 5G air interface. Specifically, we will show that, with minor modifications and optimizations, competitive link level performance can be achieved even in extreme use case scenarios using synchronization and channel estimation algorithms already employed in LTE-A. Further, we propose a set of enhancements to the broadcast channel and to the common search space configurations to fully dispense with cell specific reference symbols and legacy control channels.

关键词： Lean carrier 5G air interface Control channels Broadcast channel Synchronization Channel estimation

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DIPIPM(exp TM) for Automotive Application

DIPIPM(exp TM) for Automotive Application

引用

PCIM Asia 2017;International Exhibition and conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management

作者： Yazhe Wang Naoki Ikeda Hiroyuki Hata

ISBN: (纸本)9781509038442

This paper presents the Dual In-line Package Intelligent Power Module (DIPIPM(exp TM)) family that dedicated for Electric Vehicle (EV) and Hybrid Electric Vehicle (HEV) air-conditioner inverter drive application. The DIPIPM(exp TM) product family that targeted for automotive applications adopted the advanced CSTBT(exp TM) power chip technology and embedded into Mitsubishi Electric's unique insulation-sheet type transfer mold package that is capable to provide the excellent electrical characteristics and superior reliability for automotive application. By using the optimized wafer and assembly process, the DIPIPM(exp TM) achieved a package size that small enough to be able to dramatically shrink the compressor mounting space. Examples of DIPIPM(exp TM) in air-conditioner inverter drive application for electric vehicle that targeted for long drive range and heavy passenger load are introduced.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks signal processing algorithms

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Shared-use motion vector algorithm for moving objects detection for automobiles

Shared-use motion vector algorithm for moving objects detect...

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IEEE International conference on Consumer Electronics (ICCE)

作者： Chup-Chung Wong W. C. Siu S. Barnes P. Jennings B. Fong University of Warwick Coventry UK Hong Kong Productivity Council Hong Kong Polytechnic University

This paper presents a new motion vector based moving object detection system for use in advanced Driver Assistance Systems. By the shared-use of motion vectors with a video encoder, the computational cost for motion estimation using optical flow method can be saved, making the system more cost effective. Moving objects are detected by evaluating the planar parallax residuals of macroblocks in the video. The proposed algorithm involves newly proposed "APD" constraints on hypothesis generation and template matching in hypothesis verification. Test results show that moving objects can be detected effectively in scenarios that pose danger to the ego vehicle.

关键词： signal processing algorithms Vehicles Cameras Object detection Transmission line matrix methods Image motion analysis Computer vision

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