检索结果-内蒙古大学图书馆

minimum redundancy array-A Baseline Optimization Strategy for Urban SAR Tomography

REMOTE SENSING 2020年第18期12卷 3100-3100页

作者： Wei, Lianhuan Feng, Qiuyue Liu, Shanjun Bignami, Christian Tolomei, Cristiano Zhao, Dong Northeastern Univ Sch Resources & Civil Engn Inst Geoinformat & Digital Mine Res Shenyang 110819 Peoples R China Ist Nazl Geofis & Vulcanol I-00143 Rome Italy Shenyang Geotech Invest & Surveying Res Inst Shenyang 110004 Peoples R China

Synthetic aperture radar (SAR) tomography (TomoSAR) is able to separate multiple scatterers layovered inside the same resolution cell in high-resolution SAR images of urban scenarios, usually with a large number of orbits, making it an expensive and unfeasible task for many practical applications. Targeting at finding out the minimum number of images necessary for tomographic reconstruction, this paper innovatively applies minimum redundancy array (MRA) for tomographic baseline array optimization. Monte Carlo simulations are conducted by means of Two-step Iterative Shrinkage/Thresholding (TWIST) and Truncated Singular Value Decomposition (TSVD) to fully evaluate the tomographic performance of MRA orbits in terms of detection rates, Cramer Rao Lower Bounds, as well as resistance against sidelobes. Experiments on COSMO-SkyMed and TerraSAR-X/TanDEM-X data are also conducted in this paper. The results from simulations and experiments on real data have both demonstrated that introducing MRA for baseline optimization in SAR tomography can benefit from the dramatic reduction of necessary orbit numbers, if the recently proposed TWIST method is used for tomographic reconstruction. Although the simulation and experiments in this manuscript are carried out using spaceborne data, the outcome of this paper can also give examples for airborne TomoSAR when designing flight orbits using airborne sensors.

关键词： minimum redundancy array SAR tomography baseline optimization two-step iterative shrinkage thresholding truncated singular value decomposition

来源：评论

学校读者我要写书评

暂无评论

Target Direction Estimation by MIMO Radar Using Root-MUSIC with minimum redundancy array 21

Target Direction Estimation by MIMO Radar Using Root-MUSIC w...

引用

21st International Symposium on Antennas and Propagation (ISAP)

作者： Hokiguchi, Masatada Kikuma, Nobuyoshi Sakakibara, Kunio Nagoya Inst Technol Dept Elect & Mech Engn Nagoya Aichi 4668555 Japan

ISBN: (纸本)9784885523137

Multiple-Input Multiple-Output (MIMO) radar which applies MIMO communication technology in the radar has attracted attention as a kind of high-resolution radar. In this paper, target direction is estimated by applying the MUSIC method to the minimum redundancy MIMO radar which has been used as the adaptive beamforming array. Furthermore, the Root-MUSIC method which has been limited to the uniform array is applied to the minimum redundancy array to reduce the computational load in the direction estimation.

关键词： MIMO radar minimum redundancy array MUSIC Root-MUSIC Thinned array DOA estimation

来源：评论

学校读者我要写书评

暂无评论

Target Direction Estimation by MIMO Radar Using Root-MUSIC with minimum redundancy array

Target Direction Estimation by MIMO Radar Using Root-MUSIC w...

引用

International Symposium on Antennas and Propagation

作者： Masatada Hokiguchi Nobuyoshi Kikuma Kunio Sakakibara Dept. of Electrical and Mechanical Engineering Nagoya Institute of Technology

ISBN: (纸本)9781467379601

关键词： MIMO radar minimum redundancy array MUSIC Root-MUSIC Thinned array DOA estimation

来源：评论

学校读者我要写书评

暂无评论

Source Number Estimation for minimum redundancy arrays with Gerschgorin Disk Estimator

Source Number Estimation for Minimum Redundancy Arrays with ...

引用

2012 IEEE 11th International Conference on Signal Processing(ICSP 2012)

作者： Lu Zhenxing Gao Meiguo Jiang Haiqing Radar Research Lab Beijing Institute of Technology

ISBN: (纸本)9781467321969

Source number estimation for minimum redundancy arrays (MRAs) is considered in this paper. When the manifold ambiguity is present, the dimension of signal subspace of conventional covariance matrix will be reduced. Therefore Akaike's information criterion (AIC) and minimum description length (MDL) approaches based on the conventional covariance matrix can not provide the correct estimation. In conventional MRA configuration, manifold ambiguities can be eliminated by augmenting the covariance matrix. However, the conventional AIC and MDL based on the augmented covariance matrix are still not able to estimate the source number correctly, due to the fluctuation of the noise eigenvalues of the augmented covariance matrix. The Gerschgorin disk estimator (GDE) based on the augmented covariance matrix is proposed in this paper. Because the noise eigenvectors of augmented covariance matrix are orthogonal to the signal subspace spanned by steering vectors, GDE can give a correct estimation. By numerical simulation we can see that GDE based on the augmented covariance matrix has a good performance.

关键词： minimum redundancy array source number estimation Gerschgorin disk estimator

来源：评论

学校读者我要写书评

暂无评论

Fast Underdetermined DOA Estimation Based on Generalized MRA via Original Covariance Vector Sparse Reconstruction

引用

IEEE ACCESS 2021年 9卷 66805-66815页

作者： Wang, Geng He, Minghao Yu, Chunlai Han, Jun Chen, Changxiao Air Force Early Warning Acad Elect Informat Inst Wuhan 430019 Peoples R China

minimum redundancy array (MRA) has the maximum aperture with continuous difference co-array among various sparse arrays with same number of physical sensors, but it is hard to calculate the sensor position of MRA and realize array design by using MRA. To solve those problem, generalized MRA is proposed with mutual coupling limitation and easy calculation method of sensor position. Based on proposed array configuration, a high-precision underdetermined direction of arrival (DOA) estimation method is proposed with reduced computational complexity. In this method, fast covariance matrix reconstruction is achieved by trace norm minimization with more accurate covariance estimation. Based on the Toeplitz property of covariance matrix in uniform array, a new sparse representation model is established with reduced dimension of covariance vector and faster DOA estimation is achieved via convex optimization. In addition, the proposed method can also be used for underdetermined DOA estimation of other sparse arrays. Using simulation experiments, we demonstrate that the proposed sparse array configuration has superiority over other sparse arrays and the proposed method can outperform most existing methods in terms of underdetermined DOA estimation accuracy and efficiency.

关键词： Sensor arrays Sensors Direction-of-arrival estimation Estimation Covariance matrices Apertures redundancy Underdetermined DOA estimation sparse array minimum redundancy array matrix reconstruction sparse reconstruction

来源：评论

学校读者我要写书评

暂无评论

A Unified array Geometry Composed of Multiple Identical Subarrays With Hole-Free Difference Coarrays for Underdetermined DOA Estimation

引用

IEEE ACCESS 2018年 6卷 14238-14254页

作者： Yang, Mingle Haimovich, Alexander M. Yuan, Xin Suns, Lei Chen, Baixiao Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Shaanxi Peoples R China New Jersey Inst Technol Dept Elect & Comp Engn Newark NJ 07102 USA Bell Labs Murray Hill NJ 07974 USA

In this paper, we propose a unified array geometry, dubbed generalized nested subarray (GNSA), for the underdetermined direction-of-arrival estimation. The GNSA is composed of multiple, identical subarrays, which can be a minimum redundancy array (MRA), a (super) nested array, a uniform linear array (ULA), or any other linear arrays with hole-free difference coarrays (DCAs). By properly design the spacings between subarrays, the resulting DCA of the GNSA can also be a hole-free (filled) ULA. When the subarray is an MRA and meanwhile its sensors' positions also follow an MRA configuration, a nested MRA (NMRA) is constructed. This NMRA can provide up to O((MN2)-N-2) degrees of freedom (DOFs) using only MN physical sensors. In order to fully utilize the increased DOF, we develop a new DOA estimation algorithm, which consists of a dimensional reduction matrix to exploit the data of all virtual elements, a Toeplitz matrix to decorrelate the equivalent coherent sources, and a root-MUSIC method to mitigate the computational workload. This new algorithm can achieve better DOA estimation performance than traditional spatial smoothing MUSIC algorithm with lower computational complexity. Numerical simulation results demonstrate the superiorities of the proposed array geometry in resolving more sources than sensors, DOA estimation performance, and the angular resolution.

关键词： Coprime array difference coarray direction-of-arrival (DOA) estimation minimum redundancy array nested array sensor arrays

来源：评论

学校读者我要写书评

暂无评论

Source Number Estimation for minimum redundancy arrays with Gerschgorin Disk Estimator

Source Number Estimation for Minimum Redundancy Arrays with ...

引用

2011 4th IEEE International Conference on Computer Science and Information Technology(ICCSIT 2011)

作者： Lu Zhenxing Gao Meiguo Jiang Haiqing Radar Research Lab Beijing Institute of Technology Beijing,China

Source number estimation for minimum redundancy arrays(MRAs) is considered in this *** the manifold ambiguity is present,the dimension of signal subspace of conventional covariance matrix will be *** Akaika's information criterion(AIC) and minimum description length(MDL) approaches based on the conventional covariance matrix can not provide the correct *** conventional MRA configuration,manifold ambiguities can be eliminated by augmenting the covariance ***,the conventional AIC and MDL based on the augmented covariance matrix are still not able to estimate the source number correctly,due to the fluctuation of the noise eigenvalues of the augmented covariance *** Gerschgorin disk estimator(GDE) based on the augmented covariance matrix is proposed in this *** the noise eigenvectors of augmented covariance matrix are orthogonal to the signal subspace spanned by steering vectors,GDE can give a correct *** numerical simulation we can see that GDE based on the augmented covariance matrix have a good performance.

关键词： minimum redundancy array source number estimation Gerschgorin disk estimator

来源：评论

学校读者我要写书评

暂无评论

Bounds for sparse planar and volume arrays

引用

IEEE TRANSACTIONS ON INFORMATION THEORY 2001年第1期47卷 464-468页

作者： Meurisse, Y Delmas, JP Inst Natl Telecommun Dept Signal & Image F-91011 Evry France

This correspondence improves and extends bounds on the numbers of sensors, redundancies, and holes for sparse linear arrays to sparse planar and volume arrays. As an application, the efficiency of regular planar and volume arrays with redundancies but no holes is deduced. Also, examples of new redundancy and hole square arrays, found by exhaustive computer search, are given.

关键词： difference base minimum hole array minimum redundancy array sparse planar array sparse volume array

来源：评论

学校读者我要写书评

暂无评论

Nested arrays: A Novel Approach to array Processing With Enhanced Degrees of Freedom (vol 58, pg 4167, 2010)

引用

IEEE TRANSACTIONS ON SIGNAL PROCESSING 2010年第9期58卷 4973-4973页

作者： Pal, P. Vaidyanathan, P. P. Student Member IEEE California Institute of Technology Pasadena CA 91125 USA Fellow IEEE

A new array geometry, which is capable of significantly increasing the degrees of freedom of linear arrays, is proposed. This structure is obtained by systematically nesting two or more uniform linear arrays and can provide O (N²) degrees of freedom using only physical sensors when the second-order statistics of the received data is used. The concept of nesting is shown to be easily extensible to multiple stages and the structure of the optimally nested array is found analytically. It is possible to provide closed form expressions for the sensor locations and the exact degrees of freedom obtainable from the proposed array as a function of the total number of sensors. This cannot be done for existing classes of arrays like minimum redundancy arrays which have been used earlier for detecting more sources than the number of physical sensors. In minimum-input--minimum-output (MIMO) radar, the degrees of freedom are increased by constructing a longer virtual array through active sensing. The method proposed here, however, does not require active sensing and is capable of providing increased degrees of freedom in a completely passive setting. To utilize the degrees of freedom of the nested co-array, a novel spatial smoothing based approach to DOA estimation is also proposed, which does not require the inherent assumptions of the traditional techniques based on fourth-order cumulants or quasi stationary signals. As another potential application of the nested array, a new approach to beamforming based on a nonlinear preprocessing is also introduced, which can effectively utilize the degrees of freedom offered by the nested arrays. The usefulness of all the proposed methods is verified through extensive computer simulations. [ABSTRACT FROM AUTHOR]

关键词： Beamforming co-array direction-of-arrival (DOA) estimation Khatri Rao product minimum redundancy array nested arrays spatial smoothing

来源：评论

学校读者我要写书评

暂无评论

DIFFERENCE BASES AND SPARSE SENSOR arrayS

引用

IEEE TRANSACTIONS ON INFORMATION THEORY 1993年第2期39卷 716-721页

作者： LINEBARGER, DA SUDBOROUGH, IH TOLLIS, IG Erik Jonsson School of Engineering and Computer Science University of Texas Dallas Richardson TX USA

Difference bases are discussed and their relevance to sensor arrays is described. Several new analytical difference base structures that result in near optimal low-redundancy sensor arrays are introduced. Algorithms are also presented for efficiently obtaining sparse sensor arrays and/or difference bases. Lastly, new bounds, related to arrays that have both redundancies and holes in their coarray are presented. Also, some extensions to the idea of difference bases that may yield useful results for sensor array design are discussed.

关键词： SENSOR array RESTRICTED DIFFERENCE BASE COarray minimum redundancy array minimum HOLE array

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：