基于FPGA的多速率信号发送器的设计

针对传统多速率信号发送器信号的非线性失真大、可调性差等问题,文中提出了一种基于FPGA与DAC5682的新型的设计方案;方案中着重介绍了DAC5682数模转换模块的实现方式以及多速率信号处理算法的实现;DAC模块可以同时实现4通道的数模转换,采样率可以达到1 Gsps;同时,为了验证FPGA算法设计的可靠性,文中首先通过MATLAB平台对算法进行了仿真建模分析;然后通过硬件描述语言将算法移植到FPGA电路上,在modelsim中实现了综合后仿真;最后给出了仿真波形;通过仿真验证,发送器具有良好的滤波效果,并可根据实际需求灵活的对基带频率以及变换后的混频模块进行相应的变换和升级;通过FPGA+DAC的设计,简化了系统结构,还能较为高效的实现系统中的各项技术指标;该系统可以广泛应用与移动通信系统中。     

基于综合度量的Ad Hoc网络跨层路由协议

Ad Hoc网络路由协议普遍采用最短路径准则,无法有效支持多速率传输并容易导致网络局部拥塞。针对该问题,利用协议栈跨层设计的思想,提出一种基于综合度量的路由协议SMRP。该协议综合考虑链路速率值、MAC竞争度和网络队列长度多种因素选择路径,能有效利用多速率传输能力,避开拥塞节点。仿真实验结果证明,该协议能从网络吞吐量、分组时延等方面有效提高网络性能。     

AC48304C－C语音芯片在卫星通信系统中的应用

语音是卫星通信中很重要的一种业务,简要介绍了AC48304C－C语音芯片的基本性能及工作原理,并结合时分多址（TDMA）卫星通信系统的特点,给出了一种基于这种芯片设计的四路语音编解码系统的软硬件设计,以及实现方案,在构建的卫星通信系统平台上进行了大量的软硬件实验和测试,结果表明此方案具有很好的效果,从实际工作经验中总结出该芯片开发的设计要点。     

多速率传感器不完全测量数据自适应融合算法

针对不完全测量的多速率传感器系统,建立了自适应的分级融合算法。该算法构建了传感器子系统故障检测方法,检测子系统故障,确认不完全测量,避免单点故障污染整个系统;建立子系统的切换控制逻辑,引入映射矩阵,构成新的信息分享系数,自适应地选择子系统参与中心融合;对于不完全测量信息的传感器子系统,利用子滤波预测值代替估计值进行融合;全局状态估计利用各子系统的当前与前一时刻的估计值,提高了融合性能。对建立的算法进行仿真,验证了该算法的有效性。     

多用户静止式单相多费率电能表的研制

介绍了智能多用户静止式单相多费率电能表的基本原理，性能指标和优势以及进步的功能扩展。     

单相多费率电能表技术规范的分析

为保证居民分时电价推广工作的顺利进行,制定合理有效的技术规范非常重要.结合江苏使用多年电子式电能表的经验以及对外省的调研情况,制定了江苏省的单相多费率电能表技术规范.本文对该技术规范的主要技术要求进行说明与分析,提出相关见解.该规范自2003年5月发布以来,统一了江苏省多费率电能表的技术要求,规范了基层的技术管理,证明了该规范的合理有效.     

A Task Model to Reduce Control Delays

Industrial control applications are usually developed in two phases: control design and real-time system implementation. In the control design stage a regulator is obtained and later it is translated into an algorithm in the implementation phase. Traditionally, these two phases have been developed in separate ways. Recently, some works have pointed out the necessity of the integration of the control design and its implementation. One of these works reduce the delay variance of control tasks (defined as the control action interval (CAI) and data acquisition interval (DAI) parameters) splitting every task into three parts. The CAI reduction method highly reduces the delay variance and improves the control performance. This work shows how to evaluate these delays under static and dynamic scheduling policies. A new task model is proposed in order to reduce the CAI and DAI parameters, which implies an improvement in the control performance. The new task model will be implemented in a real process, and the experimental measurements will show how, effectively, the control performance is highly improved with the methods presented in this paper.     

基于FPGA-CPU的双馈风电系统异步协同仿真

为实现双馈风电系统的并网及暂态实时仿真，研究了一种基于现场可编程门阵列(field programmable gate array, FPGA)与CPU协同仿真的多速率并行实时仿真方法。使用开关函数法对双馈风电系统中“背靠背”换流器建模并进行资源优化，基于PWM均值化原理完成不同步长系统之间的模型分割。利用FPGA运行速率高的优点，以200 ns的步长实现了“背靠背”换流器的小步长仿真。面向有源配电网实时仿真的需求，实现了FPGA与自主研发的实时仿真机(universal real-time experimental platform, UREP)的200 ns/50 并行协同仿真。通过与Simulink离线仿真结果对比，同时分析模型优化前后的FPGA资源消耗情况，验证了协同仿真的实时性与准确性，可为各类风电系统的并网及暂态研究提供技术参考。     

多阶微分采样及其在高速ADC系统中的应用

首先阐明了多阶微分采样的原理，给出了更为简洁的完美重构条件。然后根据该条件导出了多阶微分采样完美重构滤波器组的频谱响应和理想的冲激响应。时理想滤渡器的冲激响应进行了延迟、截断和加窗来得到可实现的有限冲激（FIR）重构滤波器组，从而实现了高速的多阶微分采样型ADC系统。理论分析和仿真结果说明本文设计的重构滤波器组可以对多阶微分采样进行很好的重构，整个系统信纳比（SINAD）平均可迭83．3dB，无伪波动态范围（SFDR）平均达102．7dB。     

Multi-rate optimal state estimation

This article formulates a multi-rate linear minimum mean squared error (LMMSE) state estimation problem, which includes four rates as follows: the state updating rate in the model, the measurement sampling rate, the estimate updating rate and the estimate output rate. This formulation is unique in two ways. First, the rate ratio between state measurement and state estimate is more general (a rational number), instead of just an integer or its reciprocal as considered in the existing literature. Second, state estimates are produced in blocks, which have never been considered before in the multi-rate estimator design. The multi-rate LMMSE estimation problem is solved by examining several distinctive cases for single-rate state estimation, obtained through the lifting technique. Also, sufficient conditions are given for asymptotic stability of the proposed multi-rate LMMSE estimators. An example in tracking a manoeuvering target is given to illustrate the proposed multi-rate state estimators.