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检索条件"任意字段=2nd IEEE Sensor Array and Multichannel Signal Processing Workshop"

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Space-time compressive sampling array

Space-time compressive sampling array

引用

sensor array and multichannel signal processing workshop

作者： Ying Wang Geert Leus Philips Research Europe Eindhoven Netherlands Department of EEMCS Delft University of Technnology Netherlands

We propose a space-time compressive sampling (STCS) array architecture by exploiting the sparsity in the angle and frequency domain. Two Doppler-DoA estimation methods are designed to efficiently reconstruct the two-dimensional (2D) sparse signal. The STCS array together with the 2D reconstruction methods allow for accurate yet low-power location and speed estimation of moving targets. The proposed methods are not only tested by simulations but also using an experimental ultrasonic sensor array setup.

关键词： arrays Estimation Baseband Frequency estimation Sparse matrices Receivers Doppler effect

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Intelligent Mattress Monitoring System Based on RFID RSSI Difference array 2

Intelligent Mattress Monitoring System Based on RFID RSSI Di...

引用

2nd ieee Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018

作者： Xiao, Wenhao Duan, Xiaohui Lei, Yiming Jiao, Bingli Peking University Centre of Wireless Communication and Signal Processing Beijing China Engineering Research Center for Mobile Digital Hospital System Ministry of Education Beijing China

ISBN: (纸本)9781538618035

The nursing care of bed-ridden patients is an overworked task, in which the attitude testing of bed-assistants is an important technique. At present, there are three main approaches to detect a person's posture on the bed, i.e., pressure sensor arrays, wearable devices, and image recognition methods. While, the pressure sensor method is faced with the lack of precision and high cost of the challenge, the wearable devices face the problem of comfort, and the methods of image recognition have a risk of violating privacy. In this paper, a new method based on passive multi-label RFID array mattress system is proposed to detect the pose of a human body. This proposed methods uses the difference matrix formed by the influence of the passive label's RSSI value and the dielectric constant of human body. Through the random forest classification method, the final accuracy rate reached 96.14%. Compared with the previous works, the accuracy rate of the proposed method gets increased by 5.36% and 4.54% respectively. In addition, the system features low cost and portable layout. © 2018 ieee.

关键词： Data mining

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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 ...

引用

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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Employing spectroscopic and pattern recognition techniques to examine food quality both internally and externally as it cooks in an industrial oven

Employing spectroscopic and pattern recognition techniques t...

引用

2nd European workshop on Optical Fibre sensors

作者： O'Farrell, M Lewis, E Flanagan, C Lyons, WB Jackman, N Univ Limerick Dept Elect & Comp Engn Limerick Ireland

ISBN: (纸本)0819454346

An Optical fibre based sensor system has been developed for the purpose of examining the colour of food products online as they cook in a large-scale industrial oven. By classifying the colour of each cooking stage it is possible to automatically determine if the food is cooked to an optimum perceived colour. Developments have been made on previous work by the authors [1] by further examining the internal colour of the food and testing the repeatability of the system. Spectroscopic techniques are employed to determine the colour and this signal is interrogated using an Artificial Neural Network.

关键词： optical fibre sensor colour classification process control spectroscopy artificial neural network pattern recognition feed forward networks food processing industry back propagation learning

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Using predictable observer mobility for power efficient design of sensor networks

Using predictable observer mobility for power efficient desi...

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2nd International workshop on Information processing in sensor Networks

作者： Chakrabarti, A Sabharwal, A Aazhang, B Rice Univ Houston TX 77005 USA

ISBN: (纸本)3540021116

In this paper, we explore a novel avenue of saving power in sensor networks based on predictable mobility of the observer (or data sink). Predictable mobility is a good model for public transportation vehicles (buses, shuttles and trains), which can act as mobile observers in wide area sensor networks. To understand the gains due to predictable mobility, we model the data collection process as a queuing system, where random arrivals model randomness in the spatial distribution of sensors. Using the queuing model, we analyze the success in data collection, and quantify the power consumption of the network. Even though the modeling is performed for a network which uses only single hop communication, we show that the power savings over a static sensor network are significant. Finally, we present a simple observer-driven communication protocol, which follows naturally from the problem formulation and can be used to achieve the predicted power savings.

关键词： sensor networks

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Primary users detect for Multiple-antenna Cognitive Radio based on Blind Source Separation

Primary users detect for Multiple-antenna Cognitive Radio ba...

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2nd International Symposium on Intelligent Information Technology Application

作者： Xu, Gang Lu, Yourong He, Jun Hu, Ning SW Elect & Telecommun Tech Res Inst Chengdu Peoples R China

ISBN: (纸本)9780769535050

In this paper, we suggest blind source separation (BSS) technology for primary users detect, which is very important in cognitive radio (CR). Multiple-antenna system should be a part of CR. Different antenna receives the same CR signal from different path, if only CR is being working. When primary user starts working, different antenna receives mixed signals of CR and primary user from different path;which can satisfy the BSS situation. CR can separate different signals with little collision. At the next time, CR can jump to next carrywave or modulation type.

关键词： Cognitive radio Blind source separation Chromium Wireless communication Computational intelligence Source separation Neural networks signal processing Receiving antennas sensor systems

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Adapting a MIMO/phased-array radar transmit beampattern to target location

Adapting a MIMO/phased-array radar transmit beampattern to t...

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International workshop on Cognitive Information processing

作者： Fuhrmann, Daniel R. Browning, J. Paul Rangaswamy, Muralidhar Department of Electrical and Computer Engineering Michigan Technological University Houghton MI 49931 United States U.S. Air Force Research Laboratory Sensors Directorate Radar Signal Processing Branch Wright-Patterson AFB OH United States

ISBN: (纸本)9781424464593

Proposed MIMO and hybrid MIMO/phased array (HMPAR) radar systems have the potential for tremendous flexibility in the choice of the transmit beampattern, through the selection of multiple transmitted signals. This paper considers how one might exploit that flexibility in light of prior information or uncertainty in target spatial location, for parameter estimation or tracking applications. We first consider an idealized problem of distributing energy across multiple target sites given a prior probability distribution on those sites. It shown that the optimal allocation of energy would be proportional to the square root of the prior probability. Second, we propose a method to approximate this optimal distribution of energy using a MIMO radar or HMPAR radar system. The method chooses signals that realize an intrapulse beamscan over the region of interest, with a nonuniform distribution of scan points matched to the desired distribution of energy. © 2010 ieee.

关键词： MIMO radar

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Augmented L-Shaped Nested array Based on the Fourth-Order Difference Co-array Concept

Augmented L-Shaped Nested Array Based on the Fourth-Order Di...

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sensor array and multichannel signal processing workshop

作者： Xiangnan Li Shiwei Ren Jianyan Liu Weijiang Wang School of Information and Electronics Beijing Institute of Technology Beijing China Science and Technology on Space Physics Laboratory Beijing China

This paper presents a new two dimentional(2D) sparse array called the augmented L-shaped nested array based on the concept of fourth-order difference co-array. By properly choosing the relative positions of two L-shaped nested arrays, one could obtain a virtual planar array containing a large-scale hole-free uniform rectangular co-array. As a result, the degree of freedom could be greatly enhanced. Many theoretical properties are derived and simulations are included by considering the fourth-order cumulants of quasi-stationary signal to validate the superior performance of the proposed array in comparison with other 2D sparse arrays.

关键词： Two dimensional displays sensor arrays Covariance matrices array signal processing Planar arrays Conferences

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Design of Remote Monitoring System for Complex workshop

Design of Remote Monitoring System for Complex Workshop

引用

2nd International Symposium on Test Automation and Instrumentation

作者： Wu Xinyi Xue Wendong Huang Wensen Hong Yongqiang Xiamen Univ Dept Mech & Elect Engn Xiamen 361005 Fujian Peoples R China

ISBN: (纸本)9787506292207

Taking the complementary advantages of the analogue video processing technology, ZigBee wireless communication technology and embedded Web server for information collection and transmission, the workshop remote monitoring system is designed, to realize a large-scale, low-power, high-efficiency multi-signal remote supervision. The system hardware platform mainly consists of Video QUAD/MUX Controller TW2834, MPEG Encoder Go7007, 16/32-bit RISC microprocessor S3C2440, ieee 802.15.4 RF chips and other units. Combining with Linux OS, ZigBee Protocol Stack, BOA Webserver and Flash Server Red5, the system realizes the functions of multi-channel analogue video process and shows, ZigBee star topology wireless sensor network and Browser/Server remote information interaction.

关键词： ZigBee red5 wireless sensor networks browser/server

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A 10 MSample/Sec Digital Neural Spike Detection for a 1024 Pixels Multi Transistor array sensor 26

A 10 MSample/Sec Digital Neural Spike Detection for a 1024 P...

引用

26th ieee International Conference on Electronics, Circuits and Systems (ICECS)

作者： Tambaro, M. Vallicelli, E. A. Tomasella, D. Baschirotto, A. Vassanelli, S. Maschietto, M. De Matteis, M. Univ Milano Bicocca Dept Phys Milan Italy Univ Padua Dept Biomed Sci Padua Italy

ISBN: (纸本)9781728109961

This paper presents an FPGA implementation of a DSP performing real time spike detection on the electrical activity of an in vitro neuronal culture of rat hippocampi. The DSP enhances the signal-to-noise ratio (SNR) of samples recorded by a 1024 pixels Multi Transistor array (MTA) at 9375 Samples/Sec per pixel of similar to 6 mu m pitch. The implementation integrates in the same system a Time Division Multiplexing (TDM) filter and a spatio-temporal correlation algorithm, to increase the SNR up to identify spikes as low as 215 mu V0-PEAK. The digital filter is a 2nd order high pass Infinite input response (IIR) Chebyshev filter. The spatio-temporal correlation exploits the MTA smaller pixels size and the high sample-rate to compute an equivalent pixel from a group of 7 pixels and 3 consecutive frames for a total of 21 samples and it is supported by a multi-channel noise power estimation. Finally, this paper shows the results achieved on the performed experiments and compares the system with others experiments using different sensors and algorithms.

关键词： Real-Time Systems Field Programmable Gate array Neuroscience Digital signal processing

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