m序列置乱对数字混沌序列性能的影响

采用m序列变换对数字混沌序列进行位置置乱,并用计算机(Matlab)进行仿真,作了相应的实验数据分析,并研究了置乱参数对改进序列性能的作用。结果表明采用置换法来改善数字混沌序列的性能是可行的。     

Complex-valued ICA utilizing signal-subspace demixing for robust DOA estimation and blind signal separation

This paper deals with direction of arrival (DOA) estimation and blind signal separation (BSS) based on independent component analysis (ICA) with robust capabilities. An efficient demixing procedure of complex-valued ICA is presented here, which combines the signal-subspace demixing procedure exploiting individual signal-subspace projection and Newton’s iteration algorithm based on maximization of the approximate negentropy of non-Gaussian signal for array signal processing. It resolves the problems of order ambiguity and identifiability of traditional ICA for time-domain BSS. The proposed method could be directly applied to radar, sonar, radio surveillance, and communications systems for separating signals and estimating relative DOAs of signals. Several computer simulation examples for perturbations to the array manifold, unknown noise environments, and Rayleigh fading channel are provided to illustrate the effectiveness of the proposed method.     

Computationally efficient direction-of-arrival estimation of non-circular signal based on subspace rotation technique

In order to solve the problem that the high computational burden of the multiple signal classification algorithm of non-circular signal (NC-MUSIC) in direction-of-arrival (DOA) estimation,a novel computationally efficient DOA estimation algorithm based on subspace rotation technique was proposed.Firstly,the partitioning of noise subspace matrix and the subspace rotation technique (SRT) were used to construct a new reduced-dimension noise subspace.Then,the two-dimensional peak searching was converted to the one-dimensional peak searching on the basis of the separation of variables and the orthogonality between the new reduced-dimension noise subspace and the space spanned by the columns of the extended manifold matrix.The proposed algorithm can enhance the computational efficiency by means of the conversion of the two-dimensional peak searching into the one-dimensional peak searching and the removal of redundant computations.Theoretical analysis and simulation results show that the proposed algorithm can reduce the computational complexity to less than 5% as compared to NC-MUSIC algorithm on the premise of ensuring the accuracy of DOA estimation.Especially,the efficiency advantage of the proposed algorithm is more obvious in scenarios where the large numbers of sensors are required.     

并元加集与二元并元码

本文首先进一步研究了并元加集存在的必要条件，从而提出了二元并元码所具有的长度。然后给出了一系列二元并元码的构造方法。证明了存在长度为２２ｔ＋２的二元并元码，相应地证明了存在参数为（２２ｔ＋２，２２ｔ＋１±２ｔ，２２ｔ±２ｔ）的并元加集。     

基于AD7150微位移电容传感器的研究

利用了集成芯片AD7150完成了对微位移电容传感器的电容采样。对AD7150芯片设计了相应的外接电路,为了增强电路的抗干扰能力,加入相应滤波电路;通过单片机模拟I2C通信方式来进行AD7150的读写控制。测量结果给出了10 pF以下不同标称电容值的电容,误差在2.5%以内。初步实验结果表明,当接入双叉电容传感器探头时,电容值随测量距离的增大而增加;在不同位移量下,传感器的灵敏度不同,距离越近,灵敏度越高,最大灵敏度为686 fF/mm,给出了不同情况下的灵敏度分布,并总结了影响电容传感器工作的电路要点。     

基于多级维纳滤波的ESPRIT算法

因奇异值分解引入了庞大的计算量,子空间分解类的测向算法在工程中难以实现实时处理.多级维纳滤波(MSWF)算法,避免了奇异值分解运算,有效地减少了运算量.通过对多级维纳滤波算法进行改进,提出了一种信源数目的估计方法.与传统多级维纳滤波算法相比,该方法提高了测向精度.通过仿真证明了该算法的有效性.     

SIMD技术在数字图像处理中的应用研究

SIMD处理机特别适合于要求大量高速向量或矩阵计算的场合,数据缓存系统和对准网络是它的关键部件。而图像卷积是图像处理技术中最基本也是最重要的一项技术,本文根据数字图像的卷积定理对数字图像的卷积运算进行了分析,并提出了一种基于SIMD处理机的可变卷积模板的图像卷积处理器的体系结构。该处理器内部包含有接口部件、控制部件、数据缓存系统、对准电路和执行部件等。它的极高效率的数据缓存系统和对准电路成为该处理器最有特色的部分,它从根本上解决了图像卷积中的数据复用带来的CPU重复访问主存储器的问题。实现了卷积模板为3×3的图像卷积运算,从而实现了对卷积计算的硬件加速目的。最后,对这个图像卷积处理器体系结构的性能及其可扩展性进行了缜密的分析。     

毫米波测云雷达回波信号衰减补偿仿真研究

针对毫米波测云雷达受云雨衰减的问题,从雷达I、Q信号角度出发,模拟毫米波测云雷达回波I、Q信号并假设一定的探测环境,进行雷达回波信号衰减补偿仿真试验.试验结果表明,雷达电磁波信号穿过雨区和云区时,在远距离处衰减量很大,通过衰减补偿,信号强度明显增强,目标信号突出.     

相控阵机载雷达杂波抑制的时—空二维自适应滤波

本文提出了一种机载预警侧面相控阵雷达抑制地杂波的时-空二维自适应方法,该方法先对各列子阵的数据作多通道的多卜勒滤波,然后分别对相同多卜勒滤波器输出的数据作Capon自适应处理。理论分析和计算机模拟结果表明,本文方法的杂波抑制性能在天线阵元存在一定的随机幅度和相位误差情况下损失不大,对阵元失效也不敏感。     

利用DAC设计数控信号发生器

利用数模转换器可构成频率精度高并且可程控的信号发生器。本电路主要由计数器CD4029产生稳定的八路数字信号输出，经数模转换器AD7528输出模拟信号，再经运放变换，从电路的不同的输出端分别实现了三角波、矩形波、正弦波输出，从而实现了信号发生器的数字控制。