基于耦合振荡器阵列的天线接收技术

论文根据耦合振荡器阵列提供一组均匀相位分布本振信号的接收原理,推导了一维线性和二维矩形耦合本振阵列产生均匀相位分布的控制方法,并对耦合本振阵列的稳定性进行了分析,为耦合振荡器阵列在天线接收技术中的应用提供理论参考。     

基于耦合振荡器阵列的接收波束形成系统

设计了基于耦合振荡器阵列的非线性有源天线阵接收波束形成系统,详细分析了阵列线性相位分布控制技术,最后对该接收系统的性能进行了计算机仿真验证。     

任意拓扑结构的耦合振荡器阵列及其在共形阵中的应用

提出了一种利用耦合振荡器阵列实现共形相控阵天线波束扫描的新方法。建立了任意拓扑结构的耦合振荡器阵列幅度和相位动力学方程,采用图论的方法分析了稳态相位方程解的唯一存在性和稳定性,通过控制振荡器每个单元的自由振荡频率,对相位进行加权,实现了共形相控阵天线无移相器的波束扫描,最后对圆柱形耦合振荡器阵列天线进行了数值仿真,验证了该方法的可行性。     

二维耦合天线阵图结构模型在波束转换和失效分析中的应用

提出了耦合振荡器阵列的一种图结构模型，利用该模型对耦合振荡器阵列有源天线阵的波束转换时间、振荡器失效和耦合网络失效引起的阵列失效概率进行了分析和仿真。从分析结果看，阵列耦合网络具有一定冗余性的设计可以缩短阵列波束转换时间，提高阵列的可靠性。     

二维耦合振荡器有源天线阵相位误差特性及其对天线方向图的影响

分析了二维耦合振荡器有源天线阵的相位误差特性及其对天线方向图的影响。分析结果表明,二维耦合振荡器有源天线阵的相位误差具有积累特性;阵元自由振荡频率的误差越小,阵元锁相带宽越大,波束指向误差越小;随着阵元自由振荡频率误差的增大,天线阵增益降低,副瓣电平抬高。     

稳健的宽带信号接收波束形成方法

对于宽带信号接收波束形成,为了降低阵列中各传感器接收通道时延和相位不一致性对性能的影响,提出了一种稳健的宽带信号接收波束形成方法。首先根据接收波束指向对阵列中各传感器信号的空间时延差进行补偿,然后利用短时傅立叶变换对阵列中各传感器信号进行子频带划分,并对各子频带所有传感器信号的时延和相位进行调整并相干合成,最后将相干合成后的子频带信号综合为宽带时域波束。针对宽带线性调频信号的计算机仿真实验表明,相比于传统的波束形成方法,所提方法能够显著提高宽带信号的合成效率。     

基于有向元的圆柱阵列波束赋形

对其形圆柱阵列进行了波束赋形,在考虑阵元有向性的基础上,利用基于最小均方误差的自适应算法迭代得到一组最优权值,通过对阵元激励的幅度、相位进行加权调整,能够使阵列波束方向、主波束形状、副瓣电平达到给定要求：运用此方法得到共形圆柱阵列的平预波束和余割平方波束方向图,效果较好,证明此方法对于共形阵列是有效的     

用于非线性有源天线的耦合锁相环特性分析

为实现非线性有源天线阵波束扫描,研究了互耦锁相环(PLL)的基本特性。通过对互耦PLL的相位动力学方程的稳定性进行分析,建立了具有延时的阵列模型;通过调节环路延时,互耦PLL不同的非线性动力学特性;采用四单元的耦合锁相环阵列实验电路对理论分析进行了验证,从而提出了在设计基于耦合锁相环的非线性有源天线时,必须对环路延时进行控制,防止环路出现振荡和混沌现象。     

常规风洞气动噪声声源辨识研究新探索

发展了基于经典波束形成算法的修正算法,该算法通过控制分析噪声的相位信息,改变波束聚焦速度,从而达到控制波束宽度的目的,基于经典波束形成算法的修正算法显著提高了低频噪声的和高频噪声的分辨率.文中还提出了机械滤波技术,该技术是设想通过控制传声器的观察角减小风洞背景噪声对传声器测量的影响,从而达到提高风洞相阵列试验信噪比的目的。     

基于矩阵填充的二维自适应波束形成算法

针对基于矩阵填充的二维自适应波束形成问题,提出一种基于奇异值门限(SVT)的特征分解线性约束最小方差(SVT-ELCMV)算法。首先建立二维自适应波束形成矩阵填充模型,其次验证接收信号矩阵满足零空间性质(NSP),并分析最小可恢复阵元数,最后以SVT算法将稀疏阵列信号恢复为完整信号,并通过修正的特征分解线性约束最小方差(LCMV)形成有效波束。算法解决了稀疏阵列平均副瓣大幅度上升的缺陷,且在平面阵列部分阵元无法正常工作时依然有效。计算机仿真表明:SVT-ELCMV算法可使稀疏阵列具有与完整阵列相同的二维波束形成能力,并可有效抑制干扰信号,验证了算法的有效性和优越性。     

高频振荡器噪声分析

 本文将高频振荡器视为具有深度正反馈噪声放大器。对它分析,给出正弦波信号的谱、等效带宽及相位噪声谱;同时还提出诸如高频振荡器内部产生的随机游走噪声形成机理等新看法。     

Jet sweeping angle control by fluidic oscillators with master-slave designs

The fluidic oscillator is an instrument that can continuously generate a spatially sweeping jet entirely based on its internal geometry without any moving parts. However, the traditional fluidic oscillator has an inherent limitation, that is, the spreading angle cannot be controlled independently, rather by the jet volume flow rate and internal geometry. Accordingly, two types of fluidic oscillators based on the master-slave design are developed in current study to decouple this correlation. In both designs, the master layer inherits the similar oscillation mechanisms of a sweeping jet, and the slave layer resembles a steady jet channel. The difference between the two designs is that Design A has a short diverging exit in the slave layer, but Design B adds a long interaction chamber in the exit channel to intensify flow instability. The external flow fields and governing oscillation properties of these two designs are experimentally explored with time-resolved Particle Image Velocimetry (PIV), while the internal flow dynamics and driving oscillation mechanisms are numerically investigated. By fixing the total volume flow rate, the jet spreading angle of Design A can be increased smoothly from 0° to above 100° by increasing the proportion of master layer's flow rate from 0 to 100%. For Design B, the control authority of the master layer is significantly enhanced by adding the interaction chamber in the slave layer. In addition, the added chamber causes notable jet oscillation even when the master layer has none input.     

基于改进圆域分割方法的混沌微弱信号检测

针对Melnikov方法和Lyapunov指数法在确定Duffing振子混沌阈值时计算繁琐、耗时较长的问题,提出基于改进圆域分割的相图识别方法。以圆域内相点比例为指标,利用其在系统相变时急剧变化这一特性进行微弱信号的检测。改进圆域分割方法的圆域半径取值更加灵活,使混沌阈值的确定更加方便。仿真实验表明,信噪比为-60 d B时检测正确率达89%,验证了该方法的有效性。     

Improving ESPRIT via beamforming

Beamforming techniques are presented that improve the performance of the ESPRIT (estimation of signal parameters via rotational invariance techniques) algorithm for solving the narrowband multiple source location problem with uniform linear arrays. Using ESPRIT with these beamforming approaches maintains the computational advantage of the original ESPRIT while further exploiting the special structure of uniform linear arrays. Simulation results show that the use of ESPRIT with beamforming yields significantly improved performance compared with the original ESPRIT     

Model-based multifrequency array signal processing for low-angletracking

Tracking low-altitude targets over the sea is problematic because of interference between the direct and reflected signal. Standard monopulse trackers can experience large errors because of multipath maximum likelihood estimation (MLE) has been used to more accurately estimate the target height in the presence of multipath MLE is a model-fitting technique where the model parameters are chosen to maximize the likelihood function. It is shown that the type of observation model has a large effect on performance. Tracking performance is compared using three different observation models employing varying amounts of a priori information. Results are presented for different array sizes: eight and 32-element arrays and two-element subarrays typical of phase monopulse. Performance is compared with that of standard techniques such as Fourier beamforming and phase monopulse     

晶振误差特性及其对弹载卫星导航接收机的影响分析

在卫星导航定位中,需要通过测量时间来计算伪距和伪距率,因此晶振的应用尤为重要。特别是当弹载卫星接收机工作在振动、高动态等恶劣的工作环境中时,晶振性能会明显恶化。提出了晶振长期稳定性、短期稳定性、相位噪声等误差特性的描述,以及这些误差特性对接收机捕获、跟踪、定位测速影响的仿真分析,并根据仿真结果提出了相应的晶振选型分析和应用方法,以使卫星导航接收机能够满足其工作要求。