共查询到18条相似文献,搜索用时 109 毫秒
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针对实际应用中普遍存在的幅相误差扰动问题,结合子空间类波达方向估计算法,基于均匀十字阵列,提出了一种幅相误差的自校正算法。均匀十字阵列可分解为两个相互垂直的均匀线性阵列,利用均匀线阵接收数据协方差矩阵的结构特点对幅相误差进行初步估计,计算出波达方向的初始估计值,通过迭代方法得到更精确的估计值,自校正方法不需要任何参数初始值,实现比较简单。仿真实验验证了算法具有良好的误差校正效果,能够比较准确地估计出信源的波达方向角和阵元的幅相误差值。 相似文献
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;针对任意平面阵列,提出了一种基于辅助阵元的二维波这方向估计算法.首先利用附加的一个辅助阵元及信号的空、时域信息,构造时空旋转矩阵实现对仰角的分离估计,再利用得到的仰角信息通过一维搜索获取方位角.与传统基于子空间的二维波达方向估计算法相比,该方法不需要进行二维谱峰搜索与参数配对,对阵元的幅相误差具有较强的鲁棒性,并具有... 相似文献
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在卫星导航系统优化设计的研究中,由于存在空间干扰,信息源方向测试误差较大。针对阵列通道之间存在幅相误差,导致子空间类高分辨测向算法测向性能下降的问题,提出一种快速自校正算法应用到GNSS接收机阵列通道幅相误差校正中。算法无需知道干扰方向,在准确估计出干扰个数的基础之上,采用分步迭代的方式,估计出存在幅相误差情况下的干扰波达方向,能够实现对多个干扰的同时校正。仿真结果表明,改进算法能够有效提高MUSIC算法的稳健性,提高对多干扰的分辨能力和估计精度,在GNSS接收机阵元标校中有良好的应用前景。 相似文献
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针对现实条件下普遍存在的阵元通道幅相误差对波达方向DOA(Directions of Arrival)估计的影响,提出一种新的阵列误差自校正方法.该方法对接收信号进行稀疏分解,结合遗传算法寻优,可以精确估得信号源的波达方向,同时估计出各阵元的幅相误差值.该方法适用于任意阵列形式,在小于0 dB信噪比的情况下也能保持较好的估计准确性.计算机仿真验证了方法的有效性. 相似文献
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WANG Ding & WU Ying Institute of Information Engineering Information Engineering University Zhengzhou China 《中国科学:信息科学(英文版)》2011,(7):1500-1511
The array mutual coupling,gain-phase errors and sensor position errors would significantly degrade the performance of high-resolution direction of arrival (DOA) estimation algorithms.Aiming at the combined influences of the above three array errors,a kind of active calibration algorithm is presented with the help of instrumental sensors in this paper.Firstly,the integrated effects of the three array errors are shown to be equivalent to angularly dependent gain-phase errors.Then,a non-linear least square (LS... 相似文献
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In this paper, the problem of direction-of-arrival (DOA) estimation for monostatic multiple-input multiple-output (MIMO) radar with gain-phase errors is addressed, by using a sparse DOA estimation algorithm with fourth-order cumulants (FOC) based error matrix estimation. Useful cumulants are designed and extracted to estimate the gain and the phase errors in the transmit array and the receive array, thus a reliable error matrix is obtained. Then the proposed algorithm reduces the gain-phase error matrix to a low dimensional one. Finally, with the updated gain-phase error matrix, the FOC-based reweighted sparse representation framework is introduced to achieve accurate DOA estimation. Thanks to the fourth-order cumulants based gain-phase error matrix estimation, and the reweighted sparse representation framework, the proposed algorithm performs well for both white and colored Gaussian noises, and provides higher angular resolution and better angle estimation performance than reduced-dimension MUSIC (RD-MUSIC), adaptive sparse representation (adaptive-SR) and ESPRIT-based algorithms. Simulation results verify the effectiveness and advantages of the proposed method. 相似文献
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Compared to large-scale MIMO radar, coprime MIMO radar can achieve approximate estimation performance with reduced antenna number. In this paper, joint direction of arrival (DOA) estimation and array calibration for coprime multiple-input multiple-output (MIMO) radar is considered, and an iterative method for the estimations of DOA and array gain-phase errors is proposed. Based on the received data structure of coprime MIMO radar, trilinear decomposition is firstly adopted to obtain the estimations of transmit and receive direction matrices, which are perturbated by the gain-phase errors. Through equation transformation, the un-perturbated direction matrices and gain-phase errors can be iteratively updated based on Least squares (LS). Finally, the unique DOA estimation is determined from the intersection of transmit and receive direction matrices. The proposed algorithm achieves better DOA estimation and array calibration performance than other methods including estimation of signal parameters via rotational invariance techniques (ESPRIT)-like algorithm, multiple signal classification (MUSIC)-like algorithm and joint angle and array gain-phase error estimation (JAAGE) method, and it performs close to the method with ideal arrays. Multiple simulation results verify the algorithmic effectiveness of the proposed method. 相似文献
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WANG Ding & WU Ying Institute of Information Engineering Information Engineering University Zhengzhou China 《中国科学:信息科学(英文版)》2010,(5):1016-1033
The combined effects of mutual coupling, gain and phase errors, and sensor position errors have great negative impact on the direction-finding performance of the MUSIC algorithm. This paper investigates the calibration of the array errors induced by the three errors. Based on the array errors calibration algorithm (algorithm 1) presented by See, two improved array error-calibrating algorithms are presented. One (algorithm 2) uses the sparseness of mutual coupling matrix, and the other (algorithm 3) utilizes... 相似文献
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Array calibration of angularly dependent gain and phase uncertainties with carry-on instrumental sensors 总被引:4,自引:0,他引:4
WANG Buhong WANG Yongliang CHEN Hui & GUO Ying Postdoctoral Technical Innovation Centre Nanjing Research Institute of Electronics Technology Nanjing China Key Research Laboratory Air Force Radar Academy Wuhan China The Telecommunication Engineering Institute Air Force Engineering University Xi''''an China 《中国科学F辑(英文版)》2004,47(6):777-792
Array calibration with angularly dependent gain and phase uncertainties has long been a difficult problem. Although many array calibration methods have been reported extensively in the literature, they almost all assumed an angularly independent model for array uncertainties. Few calibration methods have been developed for the angularly dependent array uncertainties. A novel and efficient auto-calibration method for angularly dependent gain and phase uncertainties is proposed in this paper, which is called ISM (Instrumental Sensors Method). With the help of a few well-calibrated instrumental sensors, the ISM is able to achieve favorable and unambiguous direction-of-arrivals (DOAs) estimate and the corresponding angularly dependent gain and phase estimate simultaneously, even in the case of multiple non-disjoint sources. Since the mutual coupling and sensor position errors can all be described as angularly dependent gain/phase uncertainties, the ISM proposed still works in the presence of a combination of 相似文献
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磁盘阵列故障检测机制是保证磁盘阵列可靠性的核心技术;为了能够及时检测系统故障,提出一种基于任务的故障检测机制;该机制根据磁盘阵列任务特征,将任务分为三类,并描述任务间的依赖关系;当故障发生时,该机制能够及时主动地检测出错任务,并根据任务间依赖关系划分恢复组,将故障影响控制在恢复组内;计算机仿真结果显示,采用该故障检测机制的故障处理系统不仅故障检出率高,而且对磁盘阵列控制器系统读写速率影响小,能够显著地提高磁盘阵列系统可靠性。 相似文献
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均匀线阵中幅相及位置误差的快速校正方法 总被引:5,自引:0,他引:5
着重研究了针对均匀线阵中由各阵元幅度相位不一致性及位置误差的综合影响引起的阵列流形误差的校正问题。该方法利用单信号源(可以为事先设置的校正源或某目标源),无须准确知道信号源的波迭方向,只须在校正过程中将阵列天线以已知角度旋转两次.即可对各阵元的幅度、相位及位置因子作较精确的估计,从而估计出综合误差存在情况下的阵列流形,并可同时估计信号源的波达方向。该方法无需迭代.计算简单快速.且具有较高的估计精度。计算机模拟实验结果表明了本文方法的有效性。 相似文献
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Huawei Chen 《Digital Signal Processing》2013,23(5):1712-1719
Subband beamforming has found many applications in microphone array processing field, due to its advantages over the fullband counterpart. In this paper, the performance of nearfield subband beamformers for arbitrary arrays in the presence of microphone gain and phase errors is studied from the perspective of statistical analysis. Through the bias and variance analysis of array response, some insightful properties on the robustness of nearfield subband beamformers have been derived. It is shown that the robustness of nearfield subband beamformers is dependent on the source-to-array distance, i.e., the robustness will deteriorate when the source is close to microphone arrays. Moreover, the variation in sound speed, i.e., the temperature in homogeneous environments, has little effect on the robustness performance of subband beamformers. The theoretical results are further verified by several numerical examples on nearfield subband beamformers. 相似文献