Demodulator for Chaotic Secure Communication Based on proportional—litegral Feedback Design

A scheme of chaotic secure communication based on the parameter modulation and the inversion of a chaotic dynamical system is analyzed.According to this schems,information signal is modulated by a bifurcation parameter of the transmitter,which is in chaotic state.In the receiver,a proportional-integral feedback demodulator is used to demodulate the information signal,which only uses the available synchronizing error as well as stateness of receiver,The purpose of this demodulator is proposed to overscome the influence of differentiation operation,nonlinear part and singularities in chaotic system.Numerical simulation is proposed to show the effectiveness of this demodulator.     

Distributed Signal Condition System for EAST Tokamak

In order to achieve both the signal condition remote control and the work statute self-check through Ethernet,a distributed signal condition (DSC) system has been developed for control and data acquisition (CODAC) in the EAST tokamak nuclear fusion experiment.Based on differential amplifiers,analog multiplexers and the embedded Ethernet communication technology,a DSC system is designed and produced.This paper summarizes the DSC system design,and presents a kind of calibration method for it.This DSC system has been integrated into the EAST CODAC system,and used successfully in the 2008 EAST experiments.The user-friendly,high performance,and cost-effective DSC system greatly improves the work efficiency and reduces the fault rates of the CODAC system.     

Extraction of Signal Frequency in Laser Ranging of Space Target Based on FPGA

Aiming at the problems in a linear frequency modulation continuous wave(LFMCW) ranging lidar system, such as low signal-to-noise in echo beat frequency and difficult extraction of the signal frequency, a method with high-speed and high accuracy based on field programmable gate array(FPGA) is proposed. Firstly, the laser echo beat signal is sampled by high-speed analog to digital converter(ADC) and then processed in FPGA for data preprocessing. After the signal is processed by the 8 192-point FPGA will obtain the frequency spectrum and then apply the frequency spectrum to data processing and adaptive noise signal peak detection. These two steps realize the real-time and accurate extraction process of the target echo beat signal frequency. Finally, the spectrum data is transmitted to the host computer and processed through the external data acquisition board for real-time spectrum display. Experimental results show that data preprocessing and spectrum data processing can effectively suppress DC bias and system modulation noise. Adaptive noise peak detection can accurately divide the threshold contour according to the dynamic noise of the system and realize the detection of target signal peak. When the sampling clock of the system is 100 MHz, the time needed for each calculation of the spectrum is 81.92 μs, and the refresh rate of the spectrum reaches 12.2 kHz, which meets the real-time requirements of the system.     

An Experimental Biotelemetric Study Based on Satellite Tracking During Post—nesting Migrations of Green Turtles

A biotelemetry experiment is conducted to study the migrant behavior of green turtles(Chelonia mydas)in South China Sea and acquire the physical environment data.The method in use is to track the post-nesting migrant routes of green turtles through the satellite linked transmitters attached on the back of turtles and the global satellite signal transmitting system of Argos.We obtained the positions of the post-nesting migrant routes of three green turtles and environment data,which are important in conservation of green turtles and the research of physical oceanography.Based on the test,the concept,principle and method of biotelemetry are also introduced in this paper with a discussion of the further development of this technique and its applying prospection in future.     

Stability Analysis of Nonlinear Networked Control System with Integral Quadratic Constraints Performance in Takagi-Sugeno Fuzzy Model

This paper focuses on the stability analysis of nonlinear networked control system with integral quadratic constraints(IQC) performance, dynamic quantization, variable sampling intervals, and communication delays. By using input-delay and parallel distributed compensation(PDC) techniques, we establish the Takagi-Sugeno(T-S) fuzzy model for the system, in which the sampling period of the sampler and signal transmission delay are transformed to the refreshing interval of a zero-order holder(ZOH). By the appropriate Lyapunov-Krasovskii-based methods, a delay-dependent criterion is derived to ensure the asymptotic stability for the system with IQC performance via the H_∞ state feedback control. The efficiency of the method is illustrated on a simulation exampler.     

Simulation of Grey Scale Ghost Imaging By Labview

In this paper,we present a simulation method to reconstruct the object’s imaging in a ghost-imaging system.We use Laguerre-Gaussian(LG) beam as the light source which will produce the Orbital Angular Momentum(OAM) states.In the signal arm,the object spatial information is encoded as phase,and added to the phase of the signal light.In the idler arm,the phase of the idler light is changed according to the maximum coincidence rate in the receiver.We get each pixel matched phase of the object and reconstruct the object’s imaging in the idle arm.We demostrate some examples of the reconstruction and compare with the other reported method.The results show that our method can improve the resoltuion of the image effectively.     

Broadband unidirectional acoustic transmission based on piecewise linear acoustic metamaterials

In this paper, a broadband unidirectional acoustic transmission based on inhomogeneous metamaterial shell with radial piecewise linear sound speed distribution is proposed. Acoustic rays in the case of external and internal incidences from the shell are deduced by geometric acoustic theory to show the unidirectional acoustic propagation in the polar coordinate system. Numerical full-wave simulations reveal that one way transmission has the intensity-indepen- dent unidirectional transmission feature over a wide frequency range. Finally, a scheme for realization of the proposed one way transmission model is designed and simulated by using multilayered materials, suggesting its potential applications in noise control, acoustic rectifiers, wave absorption and related fields.     

A non-commutative time-frequency tomography

The characterization of non-stationary signal requires joint time and frequency information. However, time and frequency are a pair of non-commuting variables that cannot constitute a joint probability density in the time-frequency plane. The time-frequency distributions have difficult interpretation problems arising from negative and complex values or spurious components. In this paper, we get time-frequency information from the marginal distributions in rotated directions in the time-frequency plane. The rigorous probability interpretation of the marginal distributions is without any ambiguities. This time-frequency transformation is similar to the computerized axial tomography (CT or CAT) and is applied to signal analysis and signal detection and reveals a lot of advantages especially in the signal detection of the low signal/noise (S/N).     

On-line Tool Wear Classification in Unmanned-machining Environments

One of the most important features of the modern ma ch ining system in an “unmanned“ factory is to change tools that have been subjec ted to wear and damage. An integrated tool condition monitoring system composed of multi-sensors, signal processing devices and intelligent decision making pla ns is a necessary requirement for automatic manufacturing processes. An intellig ent tool wear monitoring system will be introduced in this paper. The system is equipped with power consumption, vibration, AE and cutt...     

Fuzzy fault diagnosis system of MCFC

A kind of fault diagnosis system of molten carbonate fuel cell (MCFC) stack is proposed in this paper. It is composed of a fuzzy neural network (FNN) and a fault diagnosis element. FNN is able to deal with the information of the expert knowledge and the experiment data efficiently. It also has the ability to approximate any smooth system. FNN is used to identify the fault diagnosis model of MCFC stack. The fuzzy fault decision element can diagnose the state of the MCFC generating system, normal or fault, and can decide the type of the fault based on the outputs of FNN model and the MCFC system. Some simulation experiment results are demonstrated in this paper.     

多输入多输出浅海水声信道响应的盲估计

提出一种在频率域实现的MIMO（multi—inputs multi—outputs）盲解卷积算法，可以在较低信噪比下求解得到浅海水声信道冲激响应的逆滤波器响应，不受时间域的原始信道阶数很长且稀疏的影响，经过求逆后得到原始MIM0浅海水声信道的冲激响应．最后采用合理的声场仿真模型验证了算法的有效性．     

南海北部海水声速剖面声学反演

2009 年6 月在南海北部进行了一次海洋环境和声学同步观测实验. 实验观测到内波活动导致水体声速剖面随时间和空间起伏. 从温度链长期观测数据提取出声速剖面经验正交函数(EOF). 数值仿真研究了水平变化海洋环境下平均声速剖面的声学反演, 结果表明, 反演结果与传播路径上的平均声速剖面具有很好的一致性. 在此基础上, 利用实验中垂直接收阵记录的宽带爆炸声源信号反演海水声速剖面, 并与实验测量声速剖面进行比较, 验证了匹配场声学反演海水声速剖面的有效性和稳定性     

声发射信号通过螺栓紧固联接界面的试验研究

在声发射的实际应用中,采集的声发射信号很多都是经过不同界面传输的,其传播特性也受到不同程度的影响,其中通过螺栓紧固联接平面界面传播是最常见的一种。分析了引起声发射信号衰减的各种原因,采用成都动科信号采集卡及其相应的分析系统,模拟设计几组螺栓紧固联接平面试件来进行声发射信号传播特性研究。初步分析研究了在表面粗糙度、压力、接合面介质等不同条件下声发射信号通过螺栓紧固联接平面界面传播后的衰减情况,为声发射检测复杂结构设备具有重大参考意义。     

基于神经网络的磨削砂轮状态的在线监测

利用声发射(AE)传感器和功率传感器为信号源,固定时间间隔内的声发射信号幅值增量累加及砂轮碰撞破碎时电机功率信号的陡变为砂轮状态识别的特征值,应用BP神经网络建立信号特征值与砂轮状态之间的非线性关系模型,可以为小批量、多品种产品磨削加工中砂轮状态的智能化在线监测提供准确有效的途径·测试结果证明了该系统的可行性,为磨削加工实现智能控制奠定了基础,并能为砂轮修整确定最佳的周期     

齿轮传动系统对摩托车噪声的影响

对摩托车噪声研究表明,齿轮噪声在摩托车噪声中占据相当重要的比重,如何控制好齿轮噪声对降低摩托车噪声具有十分重要的意义.论文讨论了发动机与传动系统合理匹配、初级传动齿轮几何设计参数和齿部(齿形与齿向)修形对摩托车噪声的影响.研究结果表明,齿轮传动系统与发动机的合理匹配能有效提高摩托车效率,正确选择初级齿轮传动几何设计参数,对初级传动齿轮进行修形能有效降低摩托车噪声,具有重要的工程实际意义.     

一种基于部分信道估计的DTD算法

在声学回声消除(acoustic echo cancellation,AEC)系统中,双讲(doubletalk,DT)信号和信道突变都导致滤波器误差变大,然而AEC系统需要分别对这2种情况做出不同的反映。因此,常见的基于误差信号及其函数的双讲检测(doubletalk detection,DTD)算法在信道突变情况下容易产生误判。为此,利用声学回声信道的特殊性和归一化最小均方(normalized least mean square,NLMS)算法的跟踪特性,提出了一种新型的基于部分信道估计的DTD算法。该算法采用累加信道估计尾部的值作为判决条件,能够区分出通话过程中的双讲时段并且忽略回声信道突变的影响。该算法具有计算复杂度小和检测DT信号速度快的优点。仿真结果表明,在实验条件下该算法优于常见的DTD算法。     

智能雷弹的目标被动探测系统研究

战场目标被动探测技术是智能雷弹设计的一个关键性技术,研究了利用声和振动传感器对目标信号进行探测的防坦克智能地雷,该系统利用预警电路和TMS320C30控制的数据采集与信号处理电路对坦克目标的声和振动信号进行处理,实现了系统对目标的预警、识别和定位,达到了项目预期设计要求。     

多功能水声信号发生及数据采集显控系统设计

 针对水声信号复杂多变和数据采集卡价格昂贵等问题,提出基于声卡采集及虚拟仪器技术的多功能水声信号发生和数据采集显示控制系统设计方法,并以LabVIEW为设计平台,利用声卡及NI-DAQ设备实现对多功能水声信号的控制、发射、显示和对音频信号的采集、显示.系统不仅能够作为虚拟信号源产生所需信号用于水声发射机,而且能够利用声卡采集测量模拟音频信号并实时显示.将系统产生发射信号作用于水声功率放大器,结合实际应用验证,表明该系统能够有效实现对所需实际信号的发生与控制.本研究设计的控制输出及采集输入模块集成度高,通用性强,且减小了硬件开销,界面友好、价格低廉、操作简便,便于推广应用.     

基于VMD和HSA的水声跳频信号时频分析方法

针对水声通信中低信噪比条件下的水声跳频信号检测和参数估计问题,提出了一种新的基于变分模态分解(VMD)和希尔伯特谱分析(HSA)相结合的水声跳频信号时频分析方法。VMD是一种新开发的自适应信号分解技术,可以完全不递归地将多分量的信号分解成许多准正交的固有模式函数。首先重点分析了VMD算法,然后简单介绍了HSA方法,最后将VMD和HSA相结合的方法应用于水声跳频信号分析。利用数值模拟的水声跳频信号进行实验仿真,结果表明本文的方法可以获得高清晰度、高聚集性的时频图。     

矢量多载波多元差分混沌移位键控在水声信道下的性能研究

水声信道具有严重的时频双选择衰落特性,使得设计性能稳健的水声通信系统极为困难。为了克服水声信道时频双选择衰落带来的信道难以跟踪的挑战,提出一种采用非相干检测的多载波混沌通信系统,该系统基于差分混沌移位键控,将参考信号以及经扩频调制的信息承载信号当作矢量组,对这些矢量组进行离散傅里叶逆变换(inverse discrete Flourier transform, IDFT)完成多载波调制,经串-并转换后输出。在时频双选择性衰落信道下的仿真表明该系统具有良好的抗多普勒频移的特性,此外,在仿真水声信道和实测水声信道下的实验结果表明,该系统在水声信道下能够获得稳健的性能,相对于已有的多载波多元差分混沌调制方案,具有更好的抗时频双选择衰落的性能。