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检索条件"主题词=Signal processing algorithms"

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360°-Environment sensing and signal processing for an automotive pre-crash application

360°-Environment sensing and signal processing for an autom...

引用

IEEE International Conference on Vehicular Electronics and Safety (ICVES)

作者： Sebastian Zuther Klaus Dietmayer Team Short Range Sensing Group Research & Advanced Engineering Daimler Benz Aerospace Ulm Germany Institute of Measurement Control and Microtechnology University of Ulm (EBS) Ulm Germany

In this paper a new and flexible 360°-environment sensing system using short range radar sensors and active seat belt pretensioners is presented. To detect critical targets from a wide variety of closing angles, a total of only four radar sensors is used. The number of sensors can be changed, without altering the underlying sensor fusion and target detection algorithms. The challenges of pre-crash systems are presented and the multi-sensor fusion and signal processing algorithms are shown. To be able to react to highly dynamic driving maneuvers, an interacting multiple model filter (IMM) is used. A pre-crash algorithm for 360°-environment sensing is introduced. To verify the system effectiveness, a simple, yet effective, system test has been developed. Test data is gained and evaluated for different critical situations. The presented pre-crash system serves as a basis for new driver assistance and safety functions, which helps to increase overall driving safety, even in dense traffic and urban driving situations.

关键词： signal processing Automotive engineering signal processing algorithms Sensor fusion Safety Radar signal processing Sensor systems Belts Radar detection Object detection

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Self-adaptive signal processing integrated wavelet theory & PCA for process monitoring

Self-adaptive signal processing integrated wavelet theory & ...

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International Conference on signal processing Proceedings (ICSP)

作者： Xiangbai Gu Quaxiong Zhu Zhiqiang Geng School of Information Science & Technology Beijing University of Chemical and Technology Beijing China

A new method of wavelet theory-based self-adaptive multi-scale principal component analysis (W-AMSPCA) is proposed for process signal monitoring and diagnosis. The technique uses the wavelet analysis to decompose the signals and reconstruct the signals in order to denoise with disturbance and outliers, and then uses the adaptive PCA algorithm 10 reduce the dimensions of process signals and identify different wavelet coefficients based on the multi-scale decomposition. The proposed method can early find and analyze the slow and feeble changes of process signals that can't be monitored by normal PCA. Furthermore, the performing framework and algorithm of W-AMSPCA for on-line signal monitoring and diagnosis are proposed.

关键词： signal processing Principal component analysis Monitoring Wavelet analysis Fault diagnosis signal analysis signal processing algorithms Equations Algorithm design and analysis Chemical technology

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An efficient algorithm for frame-based signal processing

An efficient algorithm for frame-based signal processing

引用

Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Yi Wan R.D. Nowak Department of Electrical and Computer Engineering Rice University Houston TX USA

In this paper we study the optimal sparse approximation to signals in the scenario of denoising using frames. We show that it produces the best denoising performance in terms of SNR values. Then we assume that the frame is the union of a collection of orthogonal bases and formulate a general modeling framework that unifies and extends several state-of-the-art statistical signal processing methodologies, including translation-invariant wavelet methods. At the heart of this framework is a novel signal model that combines/fuses several basis systems into a single observed signal representation through a pixel-wise model selection criterion, and derives a MAP estimator for each pixel. This framework overcomes several limitations of existing basis selection methods.

关键词： signal processing algorithms signal processing Noise reduction signal denoising signal analysis Heart signal representations signal design Wavelet analysis Hilbert space

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Using Software-Based Animations of signal processing Mathematics to Enhance Learning

Using Software-Based Animations of Signal Processing Mathema...

引用

IEEE Digital signal processing Workshop

作者： Mark A. Wickert Electrical and Computer Engineering Department University of Colorado Colorado Springs Colorado Springs CO USA

ISBN: (纸本)9781424436767

In teaching digital signal processing (DSP) and related discrete-time signals and systems topics, there are instances where improved understanding of the underlying mathematics can be obtained via a software animation. What makes the use of animation additionally attractive, is when it is combined with a screen-cast lecture format. The screen-cast is then made available to the students for after class viewing and even distance learning via the course Web Site. The software animations themselves are also made available as stand-alone applications, or applications that run within a freely available player, e.g., the Mathematica 6 Player. This way students can replay the lecture video to review the animations in action, and then run the animations on their own computer. Learning needs to be fun whenever possible, and the computer today, in many ways replaces the home electronics workbench with proto-boards and used/homemade test equipment of yesterday.

关键词： Animation signal processing Mathematics Digital signal processing Education Application software signal processing algorithms Springs Mathematical analysis Algorithm design and analysis

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An open systems approach to real-time signal processing using AltiVec technology

An open systems approach to real-time signal processing usin...

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Conference on Digital Avionics Systems (DASC)

作者： R. Jaenicke Mercury Computer Systems Inc. Chelmsford MA USA

Providing vector processing in a standard RISC chip, the AltiVecTM technology enhancements to the PowerPC/sup TM/ architecture hold the promise of the signal processing power of a DSP chip with the programming ease of a RISC chip. This paper explores how this new technology can fit into an open architecture for real-time image and signal processing. The open systems architecture described herein includes both software and hardware components. The open software architecture addresses how to achieve high performance and productivity for signal processing algorithms while using standard APIs and high-level languages to promote portability and maintainability. The hardware architecture addresses high-performance memory subsystem design and scalable communication bandwidth between multiple processors, also adhering to standards to facilitate technology insertion. The paper then addresses how to integrate AltiVec technology into the open software and hardware architectures. Finally, an example implementation is provided for a real-time multiprocessor system.

关键词： Open systems Real time systems signal processing Computer architecture Hardware Reduced instruction set computing signal processing algorithms Digital signal processing chips Software architecture Productivity

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An FPGA-based signal processing system for a 77 GHz MEMS tri-mode automotive radar

An FPGA-based signal processing system for a 77 GHz MEMS tri...

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International Workshop on Rapid System Prototyping (RSP)

作者： Sundeep Lal Roberto Muscedere Sazzadur Chowdhury Department of Electrical and Computer Engineering University of Windsor Windsor ONT Canada

An FPGA implemented signal processing algorithm to determine the range and velocity of targets using a MEMS based tri-mode 77 GHz FMCW automotive radar has been presented. In the developed system, A Xilinx Virtex 5 FPGA based signal processing and control algorithm dynamically reconfigures a MEMS based FMCW radar to provide a short-range, mid-range, and long range coverage using the same hardware. The MEMS radar incorporates two MEMS SP3T RF switches, two microfabricated Rotman lenses, and two reconfigurable microstrip antenna arrays embedded with MEMS SPST switches in addition to other microelectronic components. By sequencing the FMCW signal through the 3 beamport of the Rotman lens, the radar beam can be steered ±4 degrees in a combined cycle time of 62 ms for all the 3 modes. A worst case range accuracy of ±0.21m and velocity accuracy of ±0.83 m/s has been achieved which is better than the state-of-the art Bosch LRR3 radar sensor.

关键词： Radar Field programmable gate arrays Microstrip antenna arrays Micromechanical devices Radar antennas signal processing algorithms Digital signal processing

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signal processing aspects of polarimetric random noise radar data for shallow subsurface imaging

Signal processing aspects of polarimetric random noise radar...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Yi Xu P.D. Hoffmeyer R.M. Narayanan J.O. Curtis Department of Electrical Engineering and Center for Electro-optics University of Nebraska Lincolnshire NE USA Environmental Engineering Division U.S. Army Corporation of Engineers Vicksburg MS USA

A novel polarimetric random noise radar system has been developed by the University of Nebraska for shallow subsurface probing applications. The radar system has been fabricated and tested, and its initial performance has been found to be quite satisfactory in detecting and locating buried objects. The system produces images of the co-polarized amplitude, cross-polarized amplitude, depolarization ratio, and polarization phase difference of the radar reflected signal as the antennas are scanned over the surface below which the objects are buried. Various signal processing algorithms are being explored to enhance target detection and clutter suppression. Since the radar system provides polarization phase differences between the orthogonal receive channels, algorithms based on Stokes matrix processing are being explored to detect and identify specific targets. One of the main advantages of Stokes matrix processing is in detecting long and slender cylindrical targets, which are not clearly detected in the conventional images. Furthermore, the optimal use of thresholding and smoothing operations to reduce and eliminate clutter is being examined. Examples of the pre-processed and post-processed images are presented.

关键词： Radar signal processing Radar polarimetry Radar imaging Radar antennas Radar detection Buried object detection Polarization signal processing algorithms Clutter Radar applications

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An adaptive network/routing algorithm for energy efficient cooperative signal processing in sensor networks

An adaptive network/routing algorithm for energy efficient c...

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IEEE Conference on Aerospace

作者： J.L. Gao Jet Propulsion Laboratory Pasadena CA USA

In this paper, we describe an adaptive network/routing algorithm that facilitates both coherent and non-coherent event-based cooperative signal processing. The core of this algorithm is a distributed election procedure that produces one or multiple winners based on a context-dependent election metric. In scenarios where non-coherent signal processing techniques are applied, a central processing node is selected, and highly compressed sensor data is gathered for processing. Energy efficiency is improved by reducing algorithm overhead because the actual sensor traffic volume is light compared to the messaging overhead of the algorithm. For coherent processing, raw data streams must be relayed from each sensor to the central processing node, producing large data streams. A multi-winner election process is initiated first to select only a limited number of sensors that will provide the raw data; then a second election process uses an energy-based metric to find the optimal central processing node, whose location minimizes the total relaying cost. Simulation results are provided to demonstrate the inherent overhead-delay trade-off and compare the scalability of the algorithm under different scenarios.

关键词： signal processing algorithms Adaptive systems Routing Energy efficiency Adaptive signal processing Intelligent networks Nominations and elections Sensor phenomena and characterization Relays Space technology

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Hardware architecture design and implementation for FMCW radar signal processing algorithm

Hardware architecture design and implementation for FMCW rad...

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Conference on Design and Architectures for signal and Image processing

作者： Hyun Eugin Jonghun Lee Robot Research Division DGIST (Daegu Gyeongbuk Institute of Science & Technology) Daegu Korea

ISBN: (纸本)9781479953103

Chirp-sequence-based Frequency Modulation Continuous Wave (FMCW) radar is effective at detecting range and velocity of a target. However, the target detection algorithm is based on two-dimensional Fast Fourier Transform, which uses a great deal of data over several PRIs (Pulse Repetition Intervals). In particular, if the multiple-receive channel is employed to estimate the angle position of a target; even more computational complexity is required. In this paper, we report on how a newly developed signal processing module is implemented in the FPGA, and on its performance measured under test conditions. Moreover, we have presented results from analysis of the use of hardware resources and processing times.

关键词： Radar Field programmable gate arrays Doppler effect Computer architecture Hardware Radar signal processing signal processing algorithms

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Research on Sidelobe Suppression Algorithm of Pulse Compression in Radar signal processing

Research on Sidelobe Suppression Algorithm of Pulse Compress...

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Chinese Automation Congress (CAC)

作者： Xu Chen Li Wang Xiaoxue Li Qiaoyu Li Yatao Liu Yong Luo University of Electronic Science and Technology of China Chengdu Sichuan China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

Linear frequency modulation (LFM) signal is often used for pulse compression in radar system, but there are some problems such as high sidelobe and main lobe broadening after compression, which has certain interference to the accurate detection of actual target signal. This paper discusses the bidirectional weighted ultra-low sidelobe pulse compression algorithm, and gives an improved algorithm according to its shortcomings. Based on this, the window function linear combination method is introduced, which can obtain better sidelobe suppression ability when the main lobe width is basically unchanged.

关键词： Chirp modulation Simulation signal processing algorithms Radar detection Radar Interference Radar signal processing Faces Compression algorithms Weighted sum model

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