附有条件的参数平差模型的有偏估计

讨论附有条件的参数平差模型参数的有偏估计问题。提出了约束岭估计和约束主成分估计,并证明了它们的优良性质,最后给出了一个算例,验证了所得结果。     

基于结构特征的地图上带晕线多边形的识别

在建立GIS的过程中,从现有的各种比例尺的地形图上获取地理信息是必不可少的工作。带晕线多边形是基本比例尺地形图上最主要的地物要素类别之一,文中在地图二值图像的基础上,根据带晕线多边形的结构特征,利用一系列图像变换技术,首次成功地实现了带晕线多边形的自动识别与提取。提出并实现了用于带晕线类多边形影像分割的4方向RLS变换方法,详细讨论了收缩变换、扩张变换、细化、开图形删除和带晕线类多边形的识别等算法。实验表明,利用文中所述方法进行带晕线多边形识别与提取的正确率可达96%左右。     

Blind equalization based on RLS algorithm using adaptive forgetting factor for underwater acoustic channel

Blind equalization based on adaptive forgetting factor, recursive least squares （RLS） with constant modulus algorithm （CMA）, is investigated. The cost function of CMA is simplified to meet the second norm form to ensure the stability of RLS-CMA, and thus an improved RLS-CMA （RLS-SCMA） is established. To further improve its performance, a new adaptive forgetting factor RLS-SCMA （ARLS-SCMA） is proposed. In ARLS-SCMA, the forgetting factor varies with the output error of the blind equalizer during the iterative process, which leads to a faster convergence rate and a smaller steady-state error. The simulation results prove the effectiveness under the condition of the underwater acoustic channel.     

两种自适应串行干扰消除器的比较

多用户检测中的串行干扰检测器,因其结构简单、计算复杂度低而倍受关注,但由于其自身结构特点,容易引起误差传播.在串行干扰检测器中加入自适应滤波算法,使自适应消除器的权重很好地跟踪信道变化.通过计算机仿真可知,采用递归最小二乘的自适应串行干扰消除器比最小均方自适应串行干扰消除器在抗多址和抗远近效应方面性能要更胜一筹.     

拾振器输入信号恢复方法的研究

为了补偿由于拾振器及其测量系统有限带宽而使测量结果产生的测量误差，本文提出了一种用FIR横向滤波器来恢复拾振器原始输入信号的方法。该方法是将拾振器的输出信号作为FIR横向滤波器的输入，用自适应RLS算法对FIR横向滤波器系数进行辨识而最终获得可以恢复拾振器原始输入信号的反卷积滤波器。通过用几组不同特点的信号对其进行实验检验，结果证明该方法的有效性和较好的泛化能力。     

基于结构特征的地图信息识别与提取

叙述了基于结构特征的地图信息识别与提取的方法 ,讨论了收缩变换、扩张变换、细化、Hough变换、RLS变换和特征点提取等各种特征提取算法。     

利用遥感数据更新GIS的研究

GIS中地图数据库的变化检测和更新一直为人们所关注，它的重要性来源于空间信息系统的多时相分析、动态监测以及保证地学空间数据的现势性要求。在本文中首先讨论了彩色扫描地图数据接颜色信息进行自动分层，在此基础上用RLS（Run-lengthSmearing）变换对黑色要素层进行了进一步的识别与提取，然后运用图像理解和已提取出的GIS中数字地图的先验知识，提出了一种利用现势性较好的航空像片自动发现数字地图中居民地变化的方法，进而更新GIS。实验结果证明了该方法的有效性。     

A novel general methodology for studying and remedying finite precision error with application in Kalman filtering

 Least squares (LS) techniques, like Kalman filtering, are widely used in environmental science and engineering. In this paper, a new general approach is introduced for the study of the generation, propagation and accumulation of the quantization error in any algorithm. This methodology employs a number of fundamental propositions demonstrating the way the four operations addition, multiplication, division and subtraction, influence quantization error generation and transmission. Using these, one can obtain knowledge of the exact number of erroneous digits with which all quantities of any algorithm are computed at each step of it. This methodology offers understanding of the actual cause of the generation and propagation of finite precision error in any computational scheme. Application of this approach to all Kalman type LS algorithms shows that not all their formulas are equivalent concerning the quantization error effects. More specifically, few generate the greater amount of quantization error. Finally, a stabilization procedure, applicable to all Kalman type algorithms, is introduced that renders all these algorithms very robust.     

Application of least median of squared orthogonal distance (LMD) and LMD-based reweighted least squares (RLS) methods on the stock-recruitment relationship

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基于联合检测在时分同步码分多址技术中的多径干扰分析

针对商用3G移动通信系统中,特别是成熟度缺陷的时分同步码分多址技术系统中多径干扰问题,提出一种新的联合检测技术。通过理论分析和系统仿真分析,新的联合检测抗多径干扰技术可以直接对系统终端和中心设备进行固件或软件版本升级完成优化,并可以根据系统中的设备不同性能配置,采用自适应算法以匹配。