一类非线性军备竞赛博弈的动力学研究

针对多国军备竞赛问题,基于混沌动力学理论,并考虑到非线性因素对军备竞赛的影响,改进了理查森军备竞赛模型,建立了三国非线性军备竞赛的动力学模型,通过Matlab数值仿真表明,各博弈方的预期函数影响军备竞赛的稳定性,通过调整国家的不同预期函数变量,能够使军备竞赛从混沌逐步趋于稳定,这一结果将为国际军控研究提供一定的参考。     

MIMO多径衰落信道下的多载波混沌键控混沌通信

为提高差分混沌键控的传输效率及其在衰落信道下的传输性能,提出了多载波混沌键控及类差分混沌键控检测方法,发射端每隔M个OFDM符号间隔插入由混沌参考信号构成的"导频",在此间隔内其他M-1个OFDM符号即以此混沌参考信号生成的混沌键控信号,接收端提取"导频"并将之与其他OFDM符号进行相关积分,恢复出M-1比特信息。进一步给出了MIMO多径衰落信道下的多载波混沌键控分集发射与接收方法,发射端采用不同混沌信号以获得一定的发射分集增益,接收端不需要任何信道先验信息,对各天线的相关积分输出进行等增益合并,可获得空间分集增益和频域分集增益。性能分析和计算机仿真表明,在"导频"插入间隔大于2的情况下,多载波混沌键控的功率效率大于差分混沌键控,且传输性能优于差分混沌键控。     

脉压雷达信号处理仿真分析研究

针对脉冲压缩雷达,从系统仿真的角度建立了描述雷达与目标位置的三维坐标系,根据雷达信号脉冲压缩和非相参积累模型,通过计算机Matlab仿真得出了目标回波经过脉压雷达信号处理后的结果,并进一步分析了脉冲压缩和脉冲积累处理的效能。结果表明:目标回波信号通过脉冲压缩和脉冲积累处理后,显著提高了目标回波信噪比以及对目标距离估计的精度。     

高密度存储服务器高速链路设计与仿真

针对高密度存储服务器中高速链路结构复杂、信号速率高、链路长度长等特点,在高速链路PCIE3.0和SAS3.0设计过程中引入全面的信号完整性仿真。通过对高速印刷电路板设计中拓扑结构、材料类型、印刷电路板结构等关键项目进行仿真设计,获得成本最低、性能达标的最优方案;通过全链路有源仿真,预估系统性能,降低系统投产风险;通过系统实际信号测试,验证系统性能完全满足相应规范要求,仿真结果有效可靠。     

GNSS信号功率增强对调零抗干扰接收机的性能影响

由于卫星端信号发射功率小、信号传播损耗大,到达接收机的卫星导航信号极其微弱,容易被干扰。为有效应对电磁干扰的威胁,在系统层面和用户层面同时采取抗干扰措施将是一种很好的选择。建立调零抗干扰接收机抗干扰能力分析模型,并定量分析信号功率增强对调零抗干扰接收机抗干扰性能的提升效果。结果表明：信号功率每增强10 dB,接收机抗干扰能力可提升3～4 dB,但从提高接收机非极限条件下的接收性能(载噪比、测距定位精度等)的角度,信号功率增强15～20 dB时,接收性能最优。研究成果可为卫星功率增强量的优化设计以及终端抗干扰设计提供参考。     

基于全维PI观测器的混沌系统鲁棒故障检测设计

研究了在干扰存在情况下基于全维PI观测器的混沌系统鲁棒故障检测设计问题。基于一类Sylvester矩阵方程的参数化解,给出了干扰和残差信号解耦的充要条件,并建立了具有鲁棒故障检测功能的全维PI观测器设计的参数化方法。Lorenz混沌系统的数值算例及其计算结果表明：在干扰存在的情况下,基于全维PI观测器的混沌系统鲁棒故障检测设计方法简单有效。     

基于SNR的烟幕干扰效果仿真

烟幕对红外等电磁波具有吸收、反射和散射特性,可导致导引头上接收的能量大大衰减,从而降低导弹的命中概率.针对外场烟幕性能测试受气象条件和环境因素的影响较大,对准确评估抗红外烟幕遮蔽性能存在较大困难的情况,结合气象条件从烟幕透过率的变化引起导引头信噪比变化的角度,建立了烟幕干扰效果的评估模型,通过计算机仿真,得出了烟幕对红外制导导弹的干扰效果.通过试验对其中的一些结论进行了实验验证,结果表明计算结果能够与实验数据较好吻合.     

基于反步法的ADVP混沌系统同步在混沌遮掩中的应用

反步设计法是通过将一个系统分解为多个低阶子系统,一步步构建Lyapunov函数导出稳定的控制律,获得需要的控制器,实现同步的目的.基于Lyapunov稳定性理论,结合反步法思想为混沌ADVP系统设计了同步控制器.注意到系统参数间量级相差很大,在选择增益矩阵时,通过调节柯西不等式放大参数,使控制中系数的量级差别适当减小....     

Signal‐to‐interference‐plus‐noise ratio estimation for wireless communication systems: Methods and analysis

The Signal‐to‐Interference‐plus‐Noise Ratio (SINR) is an important metric of wireless communication link quality. SINR estimates have several important applications. These include optimizing the transmit power level for a target quality of service, assisting with handoff decisions and dynamically adapting the data rate for wireless Internet applications. Accurate SINR estimation provides for both a more efficient system and a higher user‐perceived quality of service. In this paper, we develop new SINR estimators and compare their mean squared error (MSE) performance. We show that our new estimators dominate estimators that have previously appeared in the literature with respect to MSE. The sequence of transmitted bits in wireless communication systems consists of both pilot bits (which are known both to the transmitter and receiver) and user bits (which are known only by the transmitter). The SINR estimators we consider alternatively depend exclusively on pilot bits, exclusively on user bits, or simultaneously use both pilot and user bits. In addition, we consider estimators that utilize smoothing and feedback mechanisms. Smoothed estimators are motivated by the fact that the interference component of the SINR changes relatively slowly with time, typically with the addition or departure of a user to the system. Feedback estimators are motivated by the fact that receivers typically decode bits correctly with a very high probability, and therefore user bits can be thought of as quasipilot bits. For each estimator discussed, we derive an exact or approximate formula for its MSE. Satterthwaite approximations, noncentral F distributions (singly and doubly) and distribution theory of quadratic forms are the key statistical tools used in developing the MSE formulas. In the case of approximate MSE formulas, we validate their accuracy using simulation techniques. The approximate MSE formulas, of interest in their own right for comparing the quality of the estimators, are also used for optimally combining estimators. In particular, we derive optimal weights for linearly combining an estimator based on pilot bits with an estimator based on user bits. The optimal weights depend on the MSE of the two estimators being combined, and thus the accurate approximate MSE formulas can conveniently be used. The optimal weights also depend on the unknown SINR, and therefore need to be estimated in order to construct a useable combined estimator. The impact on the MSE of the combined estimator due to estimating the weights is examined. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004     

水下声源引起的水表面横向微波的理论研究

利用水下声信号在水表面引起的水表面横向微波振幅很小的条件,将普遍的流体力学方程线性化,推导出在水下点声源的激励下,水表面产生的二维横向微波色散关系以及波的传播形式。结果表明,二维水表面的横向微波具有和一维情况类似的结果,即具有波长短、传播速度小的特点,因而可以对入射到表面的激光束进行调制,为水下声信号检测奠定了理论基础。