谐波小波在信号滤波中的应用

谐波小波在频域具有良好的盒形谱特性 ,另外它比通常由二进尺度函数得到的小波还具如下优越性 :存在确定的函数表达式 ;时频定位更加准确 ;算法实现简单 ;可以得到任意频率段的信号。本文重点对谐波小波在数字信号滤波中的应用进行研究     

稀土永磁同步发电机外特性的向量法分析

采用双反应理论,用向量法建立了稀土永磁同步发电机外行性的数学计算模型,并定量分析有关阻抗影响外特性的具体规律。计算结果表明,除了负载功率因数外,直轴电枢反应电抗对外特性的影响最大,漏阻抗对外特性的影响较小,凸极系数只在高功率因数时对外特性有较大的影响,在低功率因数的影响很小。     

星间链路新型信号体制设计

从信息理论基础和通信技术源头开展创新,将高频谱效率的扩展二进制相移键控调制波形、极大提升解调前信噪比的数字冲击滤波器、自适应锁相解调方法和进一步提升解调性能的波形参数匹配技术有机融为一种全新而独特的高效通用调制解调体制,并结合导航星座星间链路的要求进行仿真。结果表明其特定信噪比下单位带宽可传输的信息速率bit/s/Hz/SNR（Signal Noise Ratio）综合指标显著超过现有对比技术,且码率、带宽和信噪比可与空间环境自适应。     

卫星接收系统抗干扰的卷积盲分离算法

提出一种新的卷积混合盲分离算法,并把该算法应用到卫星通信抗干扰中,将通信信号和干扰信号分离开,以实现抗干扰的目的。该算法使用基于初等反射矩阵的高阶累积量联合对角化法来分离卷积混合的卫星通信信号和干扰信号。计算机仿真表明,在噪声环境下,信噪比大于10dB时该算法有较好的分离效果,信噪比小于10dB时分离性能有所下降,但基本也能实现分离,且与其他文献中方法相比具有计算复杂度低、分离性能好的特点,因此更适宜用于卫星通信抗干扰。     

一种适用于大频偏和低信噪比条件的频率估计器研究

为了实现对大频偏和低信噪比条件下信号载波频率快速估计,在比较现有常用估计器基础上,提出一种改进频率估计方案,可以将估计器估计范围提高到数据速率的一半而噪声性能接近MCRB下界。通过仿真和硬件实现,验证了改进频率估计器对大频偏和低信噪比的适用性。
     

旋转飞行器分集式测速信号处理方法

飞行器旋转飞行时,采用分集多天线方式,可以实现信号的全向接收和向地转发。由于飞行器的转动,测量会引入微多普勒效应作用,受工作天线变换影响,接收测速信号（多普勒频率）会阶跃变化,在锁相环的作用下又引入响应误差。为实现高精度测量必须从测量信号中处理出所需的飞行器中心运动信息。针对这一问题,研究并推导了四天线分集式双程应答多普勒测速方程,分析了该模式下理想及测速回路（锁相环）响应信号的特点,提出了分集式测速信号处理方法。仿真实验结果表明,该方法可以有效滤除锁相环响应误差、分离微多普勒频率,得出高精度中心速度测元。     

基于压缩感知理论的合成孔径激光雷达成像算法

合成孔径激光雷达是一种主动式有源激光成像雷达,它具有远高于微波合成孔径雷达的成像分辨率,能够实现对远距离目标的精细成像。由于激光信号的带宽极大,普通的硬件设备难以满足奈奎斯特采样定理的要求。提出一种基于压缩感知理论的合成孔径激光雷达成像算法,该方法利用光外差方法探测回波信号,在此基础上通过对外差信号进行随机采样提取信号中的有效信息,使用正交匹配追踪算法实现对目标高分辨距离像图像的重构,最后结合频率变标算法得到目标的高分辨二维图像。仿真结果表明运用新算法对合成孔径激光雷达的回波信号进行采样,能使用远低于奈奎斯特定理所规定的采样率完成信号采样,并有效压低信号旁瓣,实现对目标的超高分辨成像。
     

基于张量子空间的信号参数估计算法

针对低信噪比条件下多通道信号特征参数估计问题,提出了两种基于张量子空间的信号参数估计算法,分别是基于矩阵堆叠的张量分解算法和基于张量矩阵因子的联合算法。通过研究参数化信号模型、信号子空间旋转不变性和张量范德蒙分解原理,分析了多通道数据的三维张量数据模型的构建;矩阵堆叠的张量分解算法验证了张量高阶奇异值分解是矩阵奇异值分解的推广,矩阵因子联合算法进一步提高了低信噪比条件下的信号参数估计精度。仿真以信号频率和初相位的估计精度为衡量指标,验证了低信噪比的条件下,张量子空间信号参数估计算法要优于传统的矩阵子空间信号参数估计算法。
     

A Lamb wave signal reconstruction method for high-resolution damage imaging

In Lamb wave-based Structural Health Monitoring(SHM), a high-enough spatial resolution is highly required for Lamb wave signals to ensure the resolution and accuracy of damage detection. However, besides the dispersion characteristic, the signal spatial resolution is also largely restricted by the space duration of excitation waveforms, i.e., the Initial Spatial Resolution(ISR)for the signals before travelling. To resolve the problem of inferior signal spatial resolution of Lamb waves, a Lamb Wave Signal Reconstruction(LWSR) method is presented and applied for highresolution damage imaging in this paper. In LWSR, not only a new linearly-dispersive signal is reconstructed from an original Lamb wave signal, but also the group velocity at the central frequency is sufficiently decreased. Then, both dispersion compensation and ISR improvement can be realized to achieve a satisfying signal spatial resolution. After the frequency domain sensing model and spatial resolution of Lamb wave signals are firstly analyzed, the basic idea and numerical realization of LWSR are discussed. Numerical simulations are also implemented to preliminarily validate LWSR. Subsequently, LWSR-based high-resolution damage imaging is developed. An experiment of adjacent multiple damage identification is finally conducted to demonstrate the efficiency of LWSR and LWSR-based imaging methods.     

An intelligent algorithm for coherent sound source localization based on a strong tracking filter

Background noise is inevitable when sensor arrays are used for aeroacoustic measurements in wind tunnels. The direct removal of background noise, however, would affect the measurement accuracy. In particular, the existing array signal processing algorithms are either invalid or inefficient for removing the noise that is coherent with the signal of interest. In this paper, an intelligent algorithm is developed to localize the coherent sound sources and background noise in real time by iteratively checking the collected data from the array. The proposed method can automatically adjust the suboptimal fading factor to extract useful information as much as possible in residual sequence. This algorithm is tested in simulations and then demonstrated in an experiment.Compared to the two existing methods, the results indicate that the new method has a good phase-shift tracking ability and rapid estimation-error convergence speed, and can achieve an acceptable performance even for low-cost acoustic sensors. Overall, the proposed method should assist array beamforming and hence benefit aeroacoustic measurement.