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智能天线上行链路的MUSIC算法仿真程序,窄带信号,高斯白噪声环境-smart antenna uplink MUSIC algorithm simulation program, narrowband signals, white Gaussian noise environment
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经典MUSIC在均匀线阵的情况。本例给出了MUSIC算法估计出的算法图,从图中可以直接看到估计的角度。我们的仿真实验用的是8个阵列,2个接受信号。MUSIC算法的精度很高。-MUSIC classic in the case of uniform linear array. In this case gives the MUSIC algorithm to estimate the algorithm maps directly from the chart to see the estimat
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阵元间隔为半波长的均匀分布16元线列阵,利用均匀加权常规波束。远场有5个互不相关的目标源发射信号,每个源相对基阵的方位分别为-40,-42,-5,30和33,且每个源信号到达基阵时的信噪比相等,均为10dB。分别对波束域和阵元域MUSIC算法进行比较。
-Array element spacing of half wavelength for the uniform distribution of 16 per linear array, using conventional beam ev
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超宽带信号的生成,以及用UWB信号实现MUSIC算法,得到AOA-Ultra-wideband signal generation, as well as the realization of MUSIC algorithm for UWB signals, the AOA
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输入为两个信号,采用music算法进行特征分解,实现测向的目的-Input into two signals characteristic decomposition algorithm using music to achieve the purpose of finding
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用matlab实现多重信号合成(Music)算法-Synthesis of multiple signals to achieve with matlab (Music) algorithm
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music算法仿真程序对两个叠加在一起的信号进行功率谱估计-music algorithm simulation program to two superimposed signals with power spectrum estimation
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雷达或移动通信中的阵列信号处理程序,子空间MUSIC算法,MVDR算法,强相关信号的分离演示等等。-Radar or mobile communication array signal processing, subspace MUSIC algorithm, MVDR algorithm, strong correlation signals seperation ,and so on.
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空间谱估计MUSIC解相干算法中的矩阵分解算法。能够很好的提高MUSIC算法对于相干信号的处理性能-MUSIC spatial spectrum estimation algorithm for Coherent Matrix decomposition algorithms. MUSIC algorithm can well improve the processing performance for coherent signals
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采用N=11的标准线阵,进行DOA估计,要求有两个信号。采用MUSIC算法-Standard linear array with N = 11, DOA estimation, requires two signals. Using the MUSIC algorithm
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利用matlab实现相干信号的music算法,DOA估计相干信号的music算法-Using matlab to achieve a coherent signal of the music algorithm, DOA estimation of coherent signals of the music algorithm
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基于广义MUSIC的相干分布式信号源的DOA估计-Distributed coherent signals DOA estimation based on the MUSIC algorithm
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基于music算法在频域区分叠加在一起的两个信号,甚至更多信号。-Distinguish the superposition of two signals together, and even more signal in the frequency domain based on the music algorithm.
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对于噪声中的正弦信号,通过周期图法、AR模型法、Pisarenko谐波分解算法、MUSIC算法和ESPRIT算法进行频率估计,使用N=128个数据样本进行估计.
-By the periodogram method, AR model method, the Pisarenko harmonic decomposition algorithm, MUSIC algorithm and the ESPRIT algorithm for sinusoidal signals in noise,
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窄带信号的DOA估计,MUSIC算法程序-DOA estimation of narrowband signals ,MUSIC algorithm
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对相干信号的波达方向进行估计,仿真了music算法在相干信号情况下的失效,以及改进程序(The direction of arrival of coherent signals is estimated, and the failure of music algorithm in coherent signals is simulated)
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使用MUSIC算法实现阵列信号的波达方向估计(Using MUSIC algorithm to estimate the direction of arrival of array signals)
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波达方向(DOA)估计的基本问题就是确定同时处在空间某一区域内多个感兴趣的信号的空间位置(即多个信号到达阵列参考阵元的方向角)。最早的也是最经典的超分辨DOA估计方法是著名的MUSIC方法,MUSIC是多重信号分类(Multiple Signal Classification)的英文缩写。它是由R.O. Schmidt于1979年提出来的,由1986年重新发表的。MUSIC算法利用了信号子空间和噪声子空间的正交性,构造空间谱函数,通过谱峰搜索,检测信号的DOA.(The basic proble
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Music算法,多重信号分类算法(MUSIC)对信号进行波达方向(DOA)估计算法实现(Music algorithm and multiple signal classification algorithm (MUSIC) for the realization of the direction of arrival (DOA) estimation of signals)
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对相干信号进行方位估计,使用TOEPLITZ矩阵进行解相干,music算法进行DOA估计(Estimation of the azimuth of coherent signals, decoherence using TOEPLITZ matrix and music algorithm for DOA estimation)
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