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介绍CDMA系统中的功率控制与自动增益控制(Auto-maticGainControl,AGC),通过理论研究并结合实例,提出一种适用于CDMA系统的自动增益控制。介绍的CDMA系统中的闭环功率控制方法能有效控制移动台功率,还介绍了高精度RF功率检测器LMV225实现功率控制的实际应用。 相似文献
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介绍了一种新的数字自动增益控制算法,在FPGA中实现了CDMA系统中大动态ADC采样结果与基站所用基带调制解调芯片CSM5000的接口,并对结果进行了仿真.相对于模拟硬件电路设计的自动增益控制(AGC)而言,采用的DAGC设计方法具有控制平坦、建立时间快、电路结构简单和成本低等特点.采用DAGC省去了模拟增益控制器件的复杂调试,提高了CDMA系统的集成度和稳定性.在最终实现的电路中,性能达到了96dB的动态范围, 控制精度小于或等于0.1dB. 相似文献
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为了克服CDMA系统的远近效应和边缘效应,解决CDMA网络容量受限的问题,采用了功率控制技术,对前向链路减小基站发射功率,对反向链路调整移动台发射功率,降低系统内的干扰水平,满足用户QoS要求,有效提高CDMA系统容量。理论阐述了功率控制技术与CDMA系统容量的关系,从系统载扰比分析入手验证了功率控制对CDMA系统容量的影响,得到了基于功率控制技术两种容量优化方法即远近控制和C/I控制。实际案例仿真结果表明,通过优化功率控制参数的方法能够有效地提升CDMA系统的容量,促使CDMA网络软容量达到最佳,为CDMA网络优化人员提供可以借鉴的思路和方法。 相似文献
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作为第三代移动通信的关键技术之一,功率控制技术在CDMA系统中得到了广泛的应用。本文在分析传统固定步长功率控制方法缺点的基础上,提出了一种将Markov过程理论应用到功率控制中的新的自适应变步长功率控制方法。 相似文献
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本文对DS-SS CDMA蜂窝移动通信中的功率控制问题进行了分析。在对信号传输的信道因素的分析基础上,针对频分双工(FDD)和时分双工(TDD)两种不同系统的特点,分别提出了两种功率控制方案,从而扩大了系统容量,改善了系统性能。 相似文献
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提出了一种针对语音信号处理的数字闭环自动增益控制(Automatic Gain Control,AGC)系统的设计,详述了数字闭环自动增益控制原理、电路设计与实现.设计中采用一款适用于语音信号处理的低噪声增益可编程放大器(DS4420),FPGA(EP1C3T100C6)通过I2C总线与其连接实现闭环控制.FPGA实时检测放大器输出,通过实时运算,能够有效控制放大器DS4420的增益,实现自动增益控制.针对自动增益控制算法中的对数等复杂运算,文中采用适合于FPGA的CORDIC算法进行简化运算,把复杂的对数运算简化为只包含移位和加减法的简单运算,不仅极大地降低了运算量,同时还保证了很高的精度.该数字闭环AGC系统具有较高的动态范围(60dB),并且自动增益控制算法简单有效,具有运算量小、控制灵活的特点,在实时系统中能够快速有效地完成自动增益控制的功能.通过实验验证分析,该设计能够根据输入语音信号的大小快速有效地调整放大器增益,有很好的工程实用性. 相似文献
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V. E. Zakharchenko 《Automation and Remote Control》2010,71(10):2216-2223
Possibility of identifying the (explicit and implicit) invalidity in sensors’ indications within the process control systems
(automatic control systems for industrial processes) is considered, on the basis of statistical data on industrial processes
provided by the control system; the data is represented in the form of simulation model with interval validity estimates of
the parameters. In the designed model, validity identification includes verifying all the functional relations specified for
the selected industrial process. The issue of implementing the suggested model is studied subject to process control systems
in the energy sector. 相似文献
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In any real system, changing the control signal from one value to another will usually cause wear and tear on the system’s actuators. Thus, when designing a control law, it is important to consider not just predicted system performance, but also the cost associated with changing the control action. This latter cost is almost always ignored in the optimal control literature. In this paper, we consider a class of optimal control problems in which the variation of the control signal is explicitly penalized in the cost function. We develop an effective computational method, based on the control parameterization approach and a novel transformation procedure, for solving this class of optimal control problems. We then apply our method to three example problems in fisheries, train control, and chemical engineering. 相似文献
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网络控制系统中的时戳预测函数控制 总被引:1,自引:0,他引:1
传统预测函数控制算法不能有效处理网络控制系统中的随机延迟,为此提出了时戳预测函数控制算法.该算法使用时间戳来估计由网络引入的控制延迟,在预测系统未来输出时明确考虑了该延迟,然后借鉴传统预测函数控制算法的基本策略,得到了适用于网络控制系统的控制规律.进一步由TrueT im e工具箱搭建了网络控制系统仿真平台,对比了时戳预测函数控制算法和传统预测函数控制算法.仿真结果表明随着网络引入延迟的增大,时戳预测函数控制算法给出控制品质明显优越于传统预测函数控制算法. 相似文献
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A linear quadratic regulator problem where a small parameter μ2multiplies the control cost is considered. Asmu rightarrow 0 , it exhibits a dynamic behavior with multiple time-scales, whereas formu = 0 , it is a singular control problem. At first a multiparameter singularly perturbed model of the given problem is constructed by transferring the singularity that exists in the performance index to the dynamic equations. Then the problem is decomposed into several subproblems of minimal order, each pertaining to only one time-scale. The method developed permits under a single framework the characterization of asymptotic behavior of optimal closed-loop poles, state and control trajectories, performance index, and optimal transfer function asmu rightarrow 0 . Moreover, the asymptotic solution brings into focus 1) the nature of singular control and its connection to transmission zeros and 2) the presence of various types of impulses and other higher order distributions in both state and control. The approach unifies and extends significantly several ideas previously somewhat disjoint. 相似文献
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For a stabilizable system, the extension of the control inputs has no use for stabilizability, but it is important for optimal
control. In this paper, a necessary and sufficient condition is presented to strictly decrease the quadratic optimal performance
index after control input extensions. A similar result is also provided for H
2 optimal control problem. These results show an essential difference between single-input and multi-input control systems.
Several examples are taken to illustrate related problems. 相似文献
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With the integration of communication networks and distributed control in modern manufacturing and process industries, networked control systems (NCSs) are becoming increasingly important due to its simplicity, scalability, flexibility, and cost effectiveness. However, there are still significant technical barriers that limit the applications of NCS technologies. Two challenges are network-induced time delay and data packet dropout. Applying a real-time queuing protocol that we developed recently, we are able to limit the sum of the network-induced communication delay and the control computation delay within a control period. This one-period delay is further guaranteed by well designed compensation for control packet dropout. Then, this paper proposes to compensate for the control packet dropout at the actuator using past control signals. Three model-free strategies for control packet dropout compensation, namely, PD (proportional plus derivative), PD2 (proportional plus up to the second-order derivative), and PD3 (proportional plus up to the third-order derivative) are developed. They are suitable for a large number of NCSs without the need to tune the compensator parameters. The proposed dropout compensation schemes are demonstrated through numerical examples. 相似文献
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A codesign approach combining predictive control compensation and network scheduling is presented in this paper to overcome the adverse influences of stochastic time delays and packet losses encountered in network-based real-time control systems. The state estimation and control prediction compensation algorithms are used for the random network delays in the feedback and forward channels, and the stability criteria are analyzed. The proper sampling rate is given with network scheduling to meet the desired system performance, while the network-induced delay is tolerated. Simulations show that the codesign approach works well with the bounded network delay. 相似文献