MATLAB-GUI-interface

智能天线技术是第三代移动通信系统的关键技术之一，也是国内外热门的研究课题。由于无线移动通信的信道传输环境具有复杂性和不确定性，存在多径衰落和时延扩展，因此造成了符号间串扰、同信道干扰、多址干扰等，这些干扰降低了链路性能和系统容量，智能天线技术是解决以上问题的方法之一。 本文首先阐述了智能天线和白适应波束形成的基本理论，然后对自适应算法进行了研究。对一些基本的自适应算法最小均方算法、恒模算法及递推最小均方算法进行了分析讨论，用计算机仿真的结果论证了算法的性能。针对相干干扰介绍了空间平滑技术，对传统的相干干扰抑制方法-空间平滑法进行了分析，采用改进算法有效降低了空间平滑算法的运算量。对信号波达方向(DOA)的估计是智能天线研究的另一关键问题。第四章在介绍了阵列信号处理方法的基础上，先简单介绍了Bartlett、Capon、MUSIC等空间谱估计算法，分析了信源数目过估计与欠估计情况下的MUSIC算法性能，提出一种改进算法，在信源数目有误差的情况下该算法的性能良好。第五章针对多径干扰环境，在分析MMUSIC算法的基础上，本文提出了基于低秩矩阵逼近法的改进MUSIC算法(In this paper, firstly, the author illustrates the principles of smart antenna and adaptive beam forming, and then introduces some typical adaptive algorithms, the LMS ,CMA and RLS algorithms are analyzed and discussed and simulate them in the computer to prove their capability. but they have the disadvantage of high complexity, so they are not fit for practice. The paper analyses the conventional method rejecting spatial smoothing coherent interfering signals, which is spatial smoothing technique)

介绍了基于matlab以法向反弹为边界条件的圆柱绕流程序。(Introduced based on matlab to the normal rebound for the boundary conditions of the cylinder around the flow program.)

lcmv- 阵列信号处理,可以自己输入信噪比(lcmv simulation on array )

说明：  计算数据集间的Kl距离，用于评估数据间的分布一致性(calculate the the distance between two data set, uate the distribution between two data set)

伺服系统低摩擦下的pid控制。。。可以参考！希望能对大家有所帮助！(Servo system under low friction pid control. . . Can refer to! The hope that it can be helpful to everyone!)

本课件讲解了脉冲压缩雷达的概念和原理，简明清晰，适合于初学者。(The courseware explain the concepts and principles of pulse compression radar, concise and clear, suitable for beginners.)

文章描述了云模型的软件实现，采用matlab编程。主要描述了正向云发生器和逆向云发生器。(Article describes the cloud model of software using matlab programming. Describes the forward cloud generator and backward cloud generator.)

system radar in simulink

huffman 编码来处理图像 DCT变换(huffman coding to DCT transform processing images)

说明：  时域有限差分法在matlab环境下进行的仿真，更形象地说明了时域有限差分法(FDTD method in matlab simulation environment, but also vividly describes the FDTD method)