Description: 时空级联算法用于海面低空目标相干信号源的DOA估计-cascade algorithm for time off low-altitude targets coherent signal source DOA Platform: |
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Author:黎敏 |
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Description: 该程序是宽带相干源DOA估计中，相干信号子空间法的空间重采样的聚焦矩阵的构造的程序。-The program is broadband DOA estimation of coherent sources, Coherent signal subspace spatial resampling matrix structure of the focusing process. Platform: |
Size: 5120 |
Author:kehengying |
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Description: Optimal Subspace-Based Signal
Processing，美国The University of Rhode Island关于阵列信号处理中DOA的课件-Optimal Subspace-Based SignalProcessing, the United States The University of Rhode Island on the array signal processing in the DOA of the courseware Platform: |
Size: 898048 |
Author:陈超 |
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Description: 本程序运用bing yang的PAST算法和PASTD算法跟踪信号子空间，并利用MUSIC算法估计信号的波达方向(DOA)-This procedure utilizes the PAST algorithm and the PASTD algorithm (put forward by Bing Yang)track signal subspace, and uses MUSIC algorithm to estimate signal prameter Direction Of Arrival(DOA)
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Size: 2048 |
Author:hehe |
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Description: 波达方向估计一直是信号处理的经典问题，本文利用盲子空间思想，新颖独特。-DOA Estimation of signal processing has been a classical problem, we use the blind subspace thinking, innovative and unique. Platform: |
Size: 182272 |
Author:三秦游子 |
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Description: 本程序运用一阶扰动理论自适应特征值方法的跟踪信号子空间，然后运用ESPRIT算法
跟踪信源的时变DOA-this matlab code(program) apply the First-Order Perturbations trak the signal subspace and eigenvalues,and then perform the time-variant or time-invariant DOA through the subspace tracked via the First-Order Perturbations with ESPRIT algrithm. Platform: |
Size: 2001920 |
Author:hehe |
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Description: 为了对空间辐射源进行精确定位" 建立了基于任意阵列对多目标源进行二维DOA估计的数学模型。将 MUSIC算法推广到三维空间阵列可以对辐射源进行二维高精度测向,但由于其需要估计接收数据的协方差矩阵和进行特征分解, 因而其计算量较大。利用多级维纳滤波器的前向递推获得信号子空间和噪声子空间，不需要估计协方差矩阵和对其进行特征分解，从而降低了MUSIC算法的计算量。将文中的方法应用于任意阵列的二维DOA估计中进行计算机仿真和实际侧向系统性能验证,实验结果均表明该方法达到了MUSIC算法的性能,但与常规MUSIC算法相比降低了计算量.- In order to space radiation source for precise positioning" based on arbitrary array to multiple target source 2D DOA estimation model. The MUSIC algorithm is extended to three-dimensional space to two-dimensional array of radiation source for high precision direction finding, but due to the need to estimate the covariance matrix and eigenvalue decomposition, and the large amount of calculation. Use of multistage Wiener filter forward recursion received signal and noise subspace, does not need to estimate the covariance matrix and the eigenvalue decomposition, which reduces the computation of MUSIC algorithm. This method is applied to an arbitrary array DOA estimation for computer simulation and actual lateral system performance verification, the experimental results show that this method achieves the performance of MUSIC algorithm, but with the conventional MUSIC algorithm reduces the calculation amount. Platform: |
Size: 118784 |
Author:于文娟 |
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Description: MIMO雷达模型下一种子空间谱估计方法，采用过估计的方法，以避免信源数估计的问题，直接对数据协方差矩阵进行变换，从而构造了信号子空间投影矩阵和噪声子空间投影矩阵，不需要像经典的MUSIC一样对其进行特征分解，完全避开了在一般非理想情况下MUSIC算法必须面对的识别小特征值与大特征值的麻烦，降低了复杂度，而且该方法不受快拍数的影响，在相干源情况下也能准确的估计目标的入射角，不会出现伪峰。-A subspace based DOA (Direction-Of-Arrival) estimation method for MIMO (Multiple-Input Multiple-Output) radar is studied in this paper. By transforming the data covariance matrix, we can construct the projection matrix of signal subspace and noise subspace. The computation complexity of the algorithm is reduced as it does not need to perform eigendecomposition. By using the over estimated theory, this algorithm avoid estimating the number of signal sources and can keep a good estimate performance in the case of lower SNR (Signal-to-Noise Ratios) and multi-target. Platform: |
Size: 66560 |
Author:Peng Zhe |
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Description: 阵列协方差矩阵的特征分解DOA估计算法，利用信号子空间与噪声子空间的正交特性-The array covariance matrix of the characteristic decomposition of the DOA estimation algorithm using the orthogonal properties of the signal subspace and noise subspace Platform: |
Size: 1024 |
Author:赵本三 |
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Description: 本程序运用PAST算法估计信号的子空间，MUSIC算法估计波达方向，实现了对信号的入射角度的实时跟踪。-The procedures used PAST algorithm estimates the signal subspace, the MUSIC algorithm to estimate DOA, real-time tracking of the incident angle of the signal. Platform: |
Size: 2048 |
Author:云传月 |
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Description: DOA估计的传统经典之作，利用噪声子空间和信号子空间正交性，得到高分辨的拨打估计。-DOA estimation of the traditional classic, using the noise subspace and signal subspace orthogonality, get high resolution to estimate. Platform: |
Size: 2048 |
Author:刘雪峰 |
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Description: 基于信号子空间的ESPRIT-Like算法在相干DOA估计中的应用-ESPRIT-Like algorithm based on signal subspace DOA Estimation of Coherent Platform: |
Size: 892928 |
Author:金坛 |
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Description: 子空间类波达方向(Direction Of Arrival,DOA)估计算法的关键在于得到高质量的信号子空间估计。该文利用矩阵伪逆的双正交性,针对源信号不相关而其本身是色信号的情况,给出了一种新颖的DOA估计算法,它不需要知道噪声统计特性。该算法利用一组空间相关矩阵的结构化信息,能稳健而精确地估计出信号子空间,从而得到DOA的精确估计。仿真实验证实了所给算法的有效性。-The key subspace DOA (Direction Of Arrival, DOA) estimation algorithm is to get a high quality signal subspace estimation. In this paper, the use of pseudo-inverse matrix dual orthogonal signals for the source itself is not related to the case and the color signal is given a novel DOA estimation algorithm, it does not need to know the statistical properties of the noise. The algorithm uses a set of structured information in spatial correlation matrix can be robust and accurately estimate signal subspace to obtain an accurate estimate of the DOA. Simulation experiments confirmed the effectiveness of the proposed algorithm. Platform: |
Size: 306176 |
Author:yushuhua |
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Description: 提出了一种新的宽带DOA估计方法:频域子空间正交性测试方法(TOFS:Test of orthogonality of frequency sub- space)。该方法通过同时测试频域信号共同带宽内各频段噪声子空间与阵列流形之间的正交性来进行DOA估计。与宽带相干信号子空间方法不同,TOFS方法不需要任何初始值的预估及聚焦操作。与宽带非相干信号子空间方法也不同,TOFS方法同时测试各频段噪声子空间与阵列流形之间的正交性。本文仿真了TOFS与IMUSIC、CSSM、TOPS的性能比较。仿真结果表明TOFS方法在中等信噪比以上时有较好的性能,且避免了TOPS方法中常出现的伪峰。 -Proposed a new broadband DOA estimation methods: subspace orthogonal frequency domain test methods (TOFS: Test of orthogonality of frequency sub-space). The method by simultaneously testing the frequency domain signal bandwidth of each band noise common sub-orthogonality between space and the array manifold to be DOA estimates. And broadband coherent signal subspace different methods, TOFS method does not require any initial estimate and focusing operation values. And broadband incoherent signal subspace methods are different, TOFS method for simultaneous testing of each band orthogonal noise subspace and the array manifold between. This paper compares the performance TOFS simulation and IMUSIC, CSSM, TOPS is. Simulation results show that the method TOFS better performance when more moderate SNR and spurious peaks TOPS method avoids the often occur. Platform: |
Size: 442368 |
Author:yushuhua |
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Description: 低信噪比条件下的高分辨DOA估计算法,提出一种基于多级维纳滤波器(MSWF)的信号波达方向(DOA)估计算法。通过测试信号子空间的估计值与噪声子空间的正交性实
现 DOA粗估计，通过测试MSWF 分解的互相关函数实现信号 DOA 的精估计。仿真实验表明，在低信噪比条件下，该算法比已有的子空
间类算法有更好的分辨率和误差性能。-Put forward a kind of multistage Wiener filter (MSWF) based on the signal direction of arrival (DOA) estimation algorithm. By testing the orthogonality between the estimated values of the signal subspace and the noise subspace
Now DOA coarse estimation, by testing the MSWF decomposition of the cross-correlation function to achieve accurate estimation of signal DOA. Simulation results show that the proposed algorithm is more efficient than the existing subspace in low SNR conditions
The inter class algorithm has better resolution and error performance. Platform: |
Size: 521216 |
Author:雨果 |
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Description: 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 problem of DOA estimation is to determine the location of multiple interested signals in a certain area at the same time, that is, the direction angle of multiple signals arriving at the array reference element. The earliest and the most classical super-resolution DOA estimation method is the famous MUSIC method, and MUSIC is the abbreviation of Multiple Signal Classification. It was proposed by R.O.Schmidt in 1979 and was republished in 1986. The MUSIC algorithm takes advantage of the orthogonality between the signal subspace and the noise subspace, and constructs the spatial spectral function. It detects the DOA. of the signal by spectral peak search.) Platform: |
Size: 43312128 |
Author:斗斗 |
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Description: 宽带信号DOA估计的非相干信号子空间（ISM）MATLAB程序(incoherent signal subspace (ISM) MATLAB program for DOA estimation of wideband signals) Platform: |
Size: 1024 |
Author:风雨归舟 |
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Search - signal subspace DOA