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Description: 一个国外人用Microsoft Visual C++开发的小数据库。可以看看。这是他工作的东西哦。-a foreign people using Microsoft Visual C development of a small database. Look. This is the work of the things he Oh.
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Size: 3072 |
Author: gg |
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Description: mini Norm算法Matlab代码, DOA方向估计中最常用最简单的算法之一-mini Norm algorithm Matlab code, DOA direction of the most commonly used estimate the simplest algorithm
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Size: 1024 |
Author: Frankie |
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Description: music算法运用于波达方向的测定,波达方向的测定先现广泛用于雷达等应用中.music算法是个很成熟的算法,如今学者们就计算量,精确度上的问题又提出了很多的改进算法.如下为
基本算法,可正确运行-music DOA algorithm applied to the determination of DOA in the first radar is widely used in such applications. music algorithm is a very mature algorithm, Now scholars on the calculation accuracy on the problem makes a lot of improved algorithm. following the basic algorithm, can be correctly operation
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Size: 5120 |
Author: 可可 |
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Description: 用MUSIC算法对信号波达方向和频率的研究.-MUSIC algorithm with DOA and frequency study.
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Size: 142336 |
Author: 徐世莲 |
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Description: 用C语言实现对经典的MUSIC算法的仿真，使用随机产生的波达方向角并对估计的角度画图-Using C language to realize the classic MUSIC algorithm simulation, using randomly generated estimated DOA angle and perspective drawing
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Size: 23552 |
Author: yangying |
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Description: capon波束形成是阵列信号处理的经典算法，该算法用于抑制干扰噪声，提高期望信号的信噪比。
本人用VC6.0实现了该算法，同时在该程序里提供了比较多的用于数值计算的C代码，如特征值分解等。-capon beamforming is a classic array signal processing algorithm used to suppress noise interference and improve signal to noise ratio of desired signal. I used VC6.0 to achieve the algorithm, at the same time in the program provide a lot more for the numerical calculation of the C code, such as such as eigenvalue decomposition.
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Size: 20480 |
Author: winton |
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Description: 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
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Author: 王强 |
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Description: Describe: doa estimated classical music used to construct simple incident signals, using seven antenna reception of signals for DOA estimated.
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Size: 1024 |
Author: ThanhTung |
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Description: 本文主要是对 DOA（波达方向）估计中传统 MUSIC 算法及其改进算法作了简要
的介绍，然后通过仿真比较了这几种算法的优缺点以及各自的适用范围，最后给出了嵌入式
系统实现的设计思路及流程图，并指出以后的研究重点。-The article introduces the research and implementation of MUSIC algorithm in DOA estimation briefly.
Firstly, it introduces the background of the study to DOA and indicates the importance of DOA
estimation secondly, it gives the traditional MUSIC algorithm and some advanced algorithms. Then,
compare the advantages and disadvantages of these algorithms respectively. Finally, describe the
programming chart in the implementation of embedded system.
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Size: 217088 |
Author: lilun |
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Description: 七单元天线阵MUSIC DOA估计：
d=1 ， 天线阵元的间距；
lma=2， 信号中心波长；
四输入信号；
A=[A1,A2,A3,A4]， 得出A矩；
四信号的频率d=[1.3*cos(v1*n)
1*sin(v2*n)
1*sin(v3*n)
1*sin(v4*n)]
构造输入信号矢量
U=A*d
总的输入信号
总输入信号的协方差矩阵
[s,h]=eig(c)
求协方差的特征矢量及特征值
取出与零特征值对应的特征矢量
求协方差矩阵的逆矩阵
应用Music法估计输出
绘出各波达方向图-Seven-element antenna array MUSIC DOA estimates: d = 1, Antenna Array pitch LMA = 2 signal center wavelength four input signals A = [A1, A2, A3, and A4], drawn A moment tetra-frequency of the signal D = [1.3* cos (V1* n) 1* sin (v2* n) 1* sin (v3* n) 1* sin (V4* n)] constructed input signal vector U = A* D of the total input signal of the total input signal covariance matrix [S] = EIG (c) seeking covariance feature vector and the feature value removing and corresponding to the zero eigenvalues characterized vector seeking covariance matrix inverse matrix Applications Music estimate output plotted DOA Figure
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Author: xiang |
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Description: MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。-clear all
clc
List0= E:\DOA估计仿真\
List00=[ 2013-10-31_12_44_31 ]
for Li=1:1
List1=strcat(List0,List00(Li,:), \Data\ )
In_p=[List1, ChanData\ ] 输入数据目录
Out_p=strcat([List1, \DataDOA\ ]) 输出数据目录
NLen=10000 分段长度
M=16
r=15
c=299792458
List=List1(end-19:end-1) 选择目录
if(~exist(Out_p, ))
mkdir(Out_p)
end
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Size: 2048 |
Author: 江浩 |
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Description: 采用music算法来用于进行DOA估计，可以达到很高的识别精度(MUSIC algorithm is used for DOA estimation, which can achieve very high recognition accuracy)
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Size: 296960 |
Author: quechaoniu
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Description: 谱估计实值MUSIC算法的一种C代码实现，包括matlab代码，用于信号的DOA方向估计。(music c code and matlab code)
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Size: 5120 |
Author: jason119 |
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