一种分数间隔解相关修正判决反馈盲均衡算法研究

以消除多径效应对传输信号的影响、提高信号传输的效率为背景,在介绍基于CMA算法的判决反馈盲均衡算法(DFE算法)的基础上,提出了改进的分数间隔判决反馈盲均衡算法。通过实验仿真结果的分析表明,改进方法在收敛速度、剩余误差等方面取得明显改善,具有一定的实际应用价值。     

基于互相关向量估计的自适应盲均衡算法

基于互相关估计的盲MMSE均衡算法以批处理方式估计信道输出向量和信道输入信号之间不同延时的互相关向量,得到MMSE均衡器系数。由于涉及到大型矩阵乘积,若在线实现,计算量较大。根据该算法对信道阶数过估计不敏感特性,推导出基于互相关向量估计的盲MMSE均衡的自适应实现算法。自适应算法将矩阵和矩阵相乘转换为矩阵和向量的相乘,大大减少了均衡系数更新计算量,计算量仅为O(K2)(K为矩阵维数)。仿真结果显示自适应算法的收敛性能远远优于目前存在的自适应算法。     

精密小直径盲孔珩磨

在论述了珩磨、盲孔珩磨现状的基础上,重点介绍了精密小直径盲孔珩磨的原理、珩磨条座、珩磨杆的结构,可达到的加工精度,推广此项工艺应解决的问题及其展望。     

Receiver-channel based adaptive blind equalization approach for GPS dynamic multipath mitigation

Aiming at mitigating multipath effect in dynamic global positioning system (GPS) satellite navigation applications, an approach based on channel blind equalization and real-time recursive least square (RLS) algorithm is proposed, which is an application of the wireless communication channel equalization theory to GPS receiver tracking loops. The blind equalization mechanism builds upon the detection of the correlation distortion due to multipath channels; therefore an increase in the number of correlator channels is required compared with conventional GPS receivers. An adaptive estimator based on the real-time RLS algorithm is designed for dynamic estimation of multipath channel response. Then, the code and carrier phase receiver tracking errors are compensated by removing the estimated multipath components from the correlators’ outputs. To demonstrate the capabilities of the proposed approach, this technique is integrated into a GPS software receiver connected to a navigation satellite signal simulator, thus simulations under controlled dynamic multipath scenarios can be carried out. Simulation results show that in a dynamic and fairly severe multipath environment, the proposed approach achieves simultaneously instantaneous accurate multipath channel estimation and significant multipath tracking errors reduction in both code delay and carrier phase.     

基于FSS-kernelBSS方法的机械故障诊断

机械设备发生故障时,故障特征的提取是很重要的.为了从观测信号中分离出不同的故障特征源信号,并根据分离信号准确地进行故障诊断,从观测信号样本出发,提出了基于有限支持样本核函数的盲源分离(FSS-kernel BSS)方法.此方法利用有限的观测样本估计信号的概率分布,得到了评价函数,具有很好的自适应能力.仿真试验结果表明:此方法能成功地分离超、亚高斯混合信号,与其他盲源分离方法相比,此方法具有更好的分离性能.将该方法用于转子不平衡和支座松动的复合故障信号的盲分离,分离出了各复合故障的主要频谱.分离结果表明:此方法应用于机械设备复合故障诊断中是可行的.     

块空时分组编码SC—FDMA虚拟MIMO迭代均衡接收机

以块空时分组编码的SC—FDMA虚拟MIMO系统为研究对象,理论推导给出块空时分组编码的SC—FDMA虚拟MIMO系统接收信号模型及虚拟MIMO接收机迭代均衡算法：仿真结果表明：迭代均衡接收机可显著提高块空时分组编码的sc—FDMA虚拟MIMO系统的链路可靠性。     

引入图像复原技术的遥感卫星图像压缩解码算法

针对遥感卫星基于小波变换的光学图像有损压缩算法,提出了一种引入图像复原技术思路的算法,对遥感图像解码处理过程中获得的低频信息进行复原,可以获得更多的用于在频域范围内描述图像结构信息的高频分量增益,从而提升整个解码图像的质量。通过此算法与传统的小波压缩算法进行对比,结果表明:压缩恢复图像的峰值信噪比(PSNR)较传统算法有0.1~0.3dB的改善,压缩恢复图像表现出更为丰富的纹理特性,可降低对遥感卫星图像数据处理和天地链路数据传输的要求。     

双余度电静液作动器力均衡控制

随着多电飞机技术的发展,电静液作动器(EHA)被更多地用于机载作动系统。双余度电静液作动器(DREHA)更易于实现余度控制,推进EHA在飞机上的应用。本文给出了一种新型DREHA的结构组成,并对其工作原理和固有的力纷争现象进行了分析。理想情况下,通过流量补偿进行修正,力纷争会消失。由于实际系统的参数不可能与仿真模型完全一致,通过人为引入两通道参数误差,复现实际的力纷争。针对上述力纷争现象,基于两通道左右腔压差提出了差值力补偿力均衡控制策略和交叉耦合力均衡控制策略,以减小力纷争。MATLAB和AMESim联合仿真结果表明,本文所设计的力均衡控制器能大大减小力纷争峰值,同时提高系统的响应速度。     

航空蓄电池能量均衡技术研究

航空电池组中单体电池之间会逐渐出现不一致性,会降低电池组性能和使用寿命,甚至引发安全事故。本文提出了一种基于主动均衡的航空蓄电池组能量均衡系统结构,提出了一种能量集中式双向传递的Cúk型均衡电路,设计了顶部均衡和底部均衡的均衡控制策略。开发了航空镍镉蓄电池能量均衡系统,进行了镍镉电池组能量均衡实验分析,实验结果表明新型能量均衡器具有均衡速度快、均衡电池单体可任意选择、能量双向传递的优点,通过电池组能量均衡控制能明显改善电池组内单体之间的不一致性,提高电池组容量利用率和使用寿命。     

Human navigation ability: Tests of the encoding-error model of path integration

This paper tests the generality and implications of an encoding-error model (Fujita et al. 1993) of humans' ability to keep track of their position in space in the absence of visual cues (i.e., by nonvisual path integration). The model proposes that when people undergo nonvisually guided travel, they encode the distances and turns that they experience, and their errors reflect systematic inaccuracies in the encoding process. Thus when people try to return to the origin of travel, they base their response on mis-encoded values of the outbound distances and turns. The two experiments reported here addressed three issues related to the model: (i) whether path integration is context-dependent and if so, how rapidly it adapts to recently experienced distances and turns; (ii) whether effects of experience can be specifically attributed to changes in the encoding process, and if so, what changes; and (iii) whether the encoding process represents distances and turns in the individual paths without considering their spatial relationship to one another (i.e., an object-centered representation). Testing these issues allows us to evaluate and develop the model.Subjects who were blindfolded or had restricted vision were led through two legs of a triangle and the turn between, then tried to return to the origin. Paths varied in whether experienced legs and turns were small or large (Experiment 1) and in variability of return and outbound course (Experiment 2). Response turn, distance and course were determined. The assumption of immutable encoding functions was not supported; encoding processes were context dependent, although they did not adapt within a block of trials. Although effects of experience could be accounted for by the model, the affected parameters were not always as predicted, and in some cases additional parameters were necessary. Results of manipulating variability in return course were consistent with the model's assumption of object-centered representation.