共查询到19条相似文献,搜索用时 125 毫秒
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一种基于ESPRIT的改进算法 总被引:2,自引:0,他引:2
在目标波达方向估计的众多算法中,ESPRIT算法是一种运算速度较快、估值精度较高的常用算法.在该算法中,利用两个相同平移阵列接收信号的协方差矩阵进行广义特征值分解,进而求出目标波达方向的高分辨率估计,但是由于需要对协方差矩阵进行广义特征值分解运算,大大增加了计算的复杂度,因而不利于在工程应用中实现.本文提出了一种基于ESPRIT的改进算法,不需要对来波信号的协方差矩阵进行广义特征值分解,就可以实现对目标波达方向的高分辨估计,理论分析和仿真结果证明了该改进算法的有效性和可行性. 相似文献
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一种基于L阵的二维解相干测向算法 总被引:1,自引:0,他引:1
本文对高斯白噪声环境下基于L型阵列二维测向的ESPRIT算法进行了改进.该算法利用阵列结构特点通过平滑原理获得3个互相关矩阵,然后由3个矩阵构造一个特殊大矩阵并对其进行奇异值分解来估计信号子空间,最后利用2D-ESPRIT方法实现二维测向.该算法估计精度高,运算量小,能够对相干信号进行估计. 相似文献
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针对阵列天线的波达方向估计问题,给出了一种新颖的ESPRIT算法--共轭ESPRIT算法(C-ESPRIT).此算法利用阵列单元输出信号的共轭信息,得到整个阵列输出的协方差矩阵,通过对此矩阵的特征分解,并构造运算矩阵,最终求得信号的波达方向.仿真实验表明,C-ESPRIT算法不仅克服了传统ESPRIT算法在阵列单元数与信源数相同时不能可靠测向的不足,并且对信号波达方向的分辨能力和测角精度也显著高于传统的ESPRIT算法,因此,C-ESPRIT算法具有更广泛的适应性和更优越的测向性能. 相似文献
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该文提出了一种基于QR分解的Power-ESPRIT(以下简称QP-ESPRIT算法)新算法.首先使用采样数据协方差矩阵的幂(Power)获得噪声子空间的估计,然后对噪声子空间进行QR分解并使用R矩阵估计信源个数,提出了无特征分解的信源个数检测算法--SDWED算法.进而,信号子空间的特征向量就可以由Q矩阵确定,从而应用ESPRIT算法获得信源波达方向的估计.该算法不需要预先知道信源个数的先验知识以及分离信号与噪声特征值的门限.在确定信源个数和子空间估计的同时,本文算法与传统的基于奇异值分解算法相比,具有近似性能时却拥有较低的计算复杂度.仿真结果证明了该方法的有效性. 相似文献
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Bao Zhiqiang Wu Shunjun Zhang Linrang 《电子科学学刊(英文版)》2007,24(5):655-661
In this paper,a low complexity ESPRIT algorithm based on power method and Orthogo- nal-triangular (QR) decomposition is presented for direction finding,which does not require a priori knowledge of source number and the predetermined threshold (separates the signal and noise ei- gen-values).Firstly,according to the estimation of noise subspace obtained by the power method,a novel source number detection method without eigen-decomposition is proposed based on QR de- composition.Furthermore,the eigenvectors of signal subspace can be determined according to Q matrix and then the directions of signals could be computed by the ESPRIT algorithm.To determine the source number and subspace,the computation complexity of the proposed algorithm is approximated as (2log_2 n 2.67)M~3,where n is the power of covariance matrix and M is the number of array ele- ments.Compared with the Single Vector Decomposition (SVD) based algorithm,it has a substantial computational saving with the approximation performance.The simulation results demonstrate its effectiveness and robustness. 相似文献
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Direction-of-arrival estimation for constant modulus signals 总被引:5,自引:0,他引:5
In many cases where direction finding is of interest, the signals impinging on an antenna array are known to be phase modulated and, hence, to have a constant modulus (CM). This is a strong property; by itself, it is already sufficient for source separation and can be used to construct improved direction finding algorithms. We first derive the relevant Cramer-Rao bounds (CRBs) for arbitrary array configurations and specialize to uniform linear arrays. We then propose a simple suboptimal direction estimation algorithm in which the signals are separated using the CM property followed by direction finding on the decoupled signals. Compared with the ESPRIT algorithm and the CRB for arbitrary signals, the algorithm shows good results 相似文献
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Beamspace ESPRIT 总被引:9,自引:0,他引:9
Guanghan Xu Silverstein S.D. Roy R.H. Kailath T. 《Signal Processing, IEEE Transactions on》1994,42(2):349-356
Most high-resolution algorithms for sensor array processing require an eigendecomposition, which is a computation that is difficult to implement in parallel and requires O(M3) multiplications for an M×M matrix, corresponding to M sensors. Beamspace transformation is one way of reducing computation and sometimes improving the estimation accuracy. As a consequence of the beamspace transformation performed, however, arrays such as uniform linear arrays commonly used in direction finding lose their displacement invariance structure. As a result, computational complexity may actually increase since the computationally efficient ESPRIT algorithm cannot be applied directly. In this paper, a method for restoring the invariance structure resulting in a beamspace ESPRIT algorithm is described. Asymptotic performance analysis of beamspace ESPRIT and simulation results are presented as well 相似文献
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Ammar Ahmed 《International Journal of Electronics》2013,100(5):747-760
Genetic algorithm (GA)-based direction of arrival (DOA) estimation is proposed using fourth-order cumulants (FOC) and ESPRIT principle which results in Multiple Invariance Cumulant ESPRIT algorithm. In the existing FOC ESPRIT formulations, only one invariance is utilised to estimate DOAs. The unused multiple invariances (MIs) must be exploited simultaneously in order to improve the estimation accuracy. In this paper, a fitness function based on a carefully designed cumulant matrix is developed which incorporates MIs present in the sensor array. Better DOA estimation can be achieved by minimising this fitness function. Moreover, the effectiveness of Newton’s method as well as GA for this optimisation problem has been illustrated. Simulation results show that the proposed algorithm provides improved estimation accuracy compared to existing algorithms, especially in the case of low SNR, less number of snapshots, closely spaced sources and high signal and noise correlation. Moreover, it is observed that the optimisation using Newton’s method is more likely to converge to false local optima resulting in erroneous results. However, GA-based optimisation has been found attractive due to its global optimisation capability. 相似文献
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In this paper, we study the problem of four-dimensional angle estimation for bistatic multiple-input multiple-output (MIMO) radar with arbitrary arrays, and propose a close-form joint two-dimensional direction of departure and two-dimensional direction of arrival estimation algorithm. Our work is to extend the estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm to angle estimation in MIMO-radar with arbitrary arrays. The algorithm can achieve automatically paired four-dimensional angles, requires no peak searching, has low complexity, and does not need to compensate for the phase. Furthermore, the proposed algorithm has much better angle estimation performance than the interpolated ESPRIT algorithm and propagator method. We also analyze and derive the complexity of the algorithm and the Cramer–Rao bound. The simulation results verify the effectiveness of the algorithm. 相似文献
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影响DOA精度因素的研究 总被引:1,自引:0,他引:1
在信号DOA估计中,基于子空间旋转不变性的TLS-ESPRIT算法深受欢迎。文中首先介绍了TLS-ESPRIT算法并简要的对该算法进行分析。同时针对空间存在单信号和多信号两种情况,分析了影响TLS-ESPRIT算法精度的因素,主要讨论了入射角大小和空间存在多信号源对算法估计精度的影响,在计算机上进行了仿真研究,并得出结论。同时给出了提高TLS-ESPRIT算法适用范围,减小误差的有效方法。 相似文献