干涉型集成光学加速度计信号处理及SOPC设计

介绍了集成光学芯片、光纤质量块简谐振子和可编程片上系统(SOPC)混合集成光学加速度计的设计方法。采用迈克尔逊干涉方法实现加速度信号光相位调制,综合交流相位跟踪零差补偿技术(PTAC)和合成外差信号解调技术(SHSD)补偿误差并解调出加速度信号,应用SOPC技术设计和实现数字信号处理(DSP)系统,同时实现DSP和智能化数据传输接口并行工作,使系统实时、线性地跟踪到加速度信号。系统设计灵敏度达4.8902V/g。实际测量灵敏度达4.62V/g,工作频带10~1066Hz。     

GSM Mobile Station Location Using Reference Stations and Artificial Neural Networks

In this paper we present a novel approach to the automatic GSM mobile station location. The approach is based on measurement of radio signal strengths from a number of the neighboring base stations (antennas) and estimation of the mobile station position using trained artificial neural network (ANN) models. First, we present an improved version of our previous positioning back propagation (BP) ANN multi-level perceptron (MLP) model that further improves positioning accuracy. Then, we extend the MLP primary ANN model by introducing correctional factors obtained from a number of reference stations with known positions. Two new models with the improved location accuracy, both aimed at real-time application, are presented. The first model is using differential range to improve the estimated location of the mobile station. The second is using small-scale secondary neural networks trained with data obtained from reference stations, in addition to the primary ANN, to correct location accuracy.     

Times Square – Marriage of Real-Time and Logical-Time in GALS and Synchronous Languages

In this paper we introduce exact and non-exact real-time waits in the reactive Globally Asynchronous Locally Synchronous (GALS) programming languages and synchronous languages as their subset. The language constructs that allow use of real-time waits are illustrated on the SystemJ GALS language. They allow system designers to explicitly use, at the specification level, not only logical time but also real-time in order to control program execution. We transform the real-time constructs into a logical model of time, and statically bound the amount of delay introduced by these constructs. In addition, the introduced concepts utilize execution platforms that allow finding best and worst reaction time of a GALS or synchronous program.     

Ambient intelligence platform using multi-agent system and mobile ubiquitous hardware

In this paper, a novel ambient intelligence (AmI) platform is proposed to facilitate fast integration of different control algorithms, device networks and user interfaces. This platform defines the overall hardware/software architecture and communication standards. It consists of four layers, namely the ubiquitous environment, middleware, multi-agent system and application layer. The multi-agent system is implemented using Java Agent DEvelopment (JADE) framework and allows users to incorporate multiple control algorithms as agents for managing different tasks. The Universal Plug and Play (UPnP) device discovery protocol is used as a middleware, which isolates the multi-agent system and physical ubiquitous environment while providing a standard communication channel between the two. An XML content language has been designed to provide standard communication between various user interfaces and the multi-agent system. A mobile ubiquitous setup box is designed to allow fast construction of ubiquitous environments in any physical space. The real time performance analysis shows the potential of the proposed AmI platform to be used in real-life AmI applications. A case study has also been carried out to demonstrate the possibility of integrating multiple control algorithms in the multi-agent system and achieving a significant improvement on the overall offline learning performance.     

Energy efficient collaborative communications in AWGN and Rayleigh fading channel in wireless sensor networks

Collaborative communication produces high power gain and significantly reduces bit error rate (BER) if both frequency and phase synchronization are achieved. In this paper, a novel collaborative communication system with imperfect phase and frequency synchronization that includes the influence of noise and fading is proposed, modeled, theoretically analyzed, and simulated. Mathematical expressions are derived for the received power as a function of number of collaborative nodes and BER as a function of signal to noise ratio (E_b ∕ N₀). To analyze the energy efficiency of our proposed collaborative communication system, energy consumption of the system is modeled, simulated, and analyzed by considering the parameters of the off‐the‐shelf products. Analytical and simulation results showed that the proposed system produces significant power gain and reduction in BER in the presence of phase errors, frequency errors, additive white Gaussian noise, and Rayleigh fading. A detailed theoretical analysis and Monte Carlo simulation revealed that the proposed collaborative communication system is an energy efficient communication system that can be implemented in sensor networks, as approximately N (number of collaborative nodes) times less total transmitted power is required than for the single input single output communication for a specifies transmission range. Copyright © 2012 John Wiley & Sons, Ltd.     

Modeling Embedded Systems: From SystemC and Esterel to DFCharts

This article addresses the need for directly expressing heterogeneous, hierarchical behaviors for modeling specific embedded systems. After analyzing two existing ESL languages, SystemC and Esterel, the authors created a new model of computation and a graphical language to gain the direct expressivity they need for their model. Although researchers have suggested various changes to SystemC and Esterel to fit modeling requirements, this article considers mainly standard SystemC and Esterel.     

Mobile Station Positioning Using GSM Cellular Phone and Artificial Neural Networks

In this paper, we describe a novelapproach to mobile station positioning using a GSMmobile phone. The approach is based on the use of aninherent feature of the GSM cellular system (themobile phone continuously measures radio signalstrengths from a number of the nearest base stations(antennas)) and on the use of this information to estimatethe phone's location. The current values of the signalstrengths are processed by a trained artificial neuralnetwork executed at the computer attached to themobile phone to estimate the position of the mobilestation in real time. The neural network configurationis obtained by using a genetic algorithm that searchesthe space of specific neural network types anddetermines which one provides the best locationestimation results. Two general methods are explored:the first is based on using a neural network forclassification and the second uses functionapproximation. The experimental results are reportedand discussed.     

SystemJ: A GALS language for system level design

In this paper we present the syntax, semantics, and compilation of a new system-level programming language called SystemJ. SystemJ is a multiclock language supporting the Globally Asynchronous Locally Synchronous (GALS) model of computation. The synchronous reactive (SR) model is used for synchronous parts of the modelled system, and those parts, which represent individual clock-domains, are coupled asynchronously each to the other on the top-level of system design. SystemJ is based on Java language, which is used to describe “instantaneous” data transformations. Hence, SystemJ is well suited for both software-based embedded and distributed systems. SystemJ offers effective modelling of (1) data transformations through the power of Java, (2) control and synchronous concurrency through the SR paradigm and (3) asynchronous concurrency through clock domains and rendezvous. The language is based on semantics that is amenable to efficient code generation and partial automatic verification. The SystemJ micro-step semantics provide asynchronous and synchronous extensions over the semantics of other SR languages such as Esterel and provide an ideal platform for efficient software implementation.