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2015 4th National Conference on Electrical,Electronics and Computer Engineering(NCEECE 2015)

作者： Weihua Lv Wang Zheng Xiaofei Zhang Licen Zhang College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Luoyang Optoelectro technology development center National Mobile Communications Research Laboratory Southeast University

ISBN: (纸本)9781510819085

In this paper, we propose the noncircular estimation signal parameters via rotational invariance techniques(NC-ESPRIT) algorithm as a two-dimension direction of arrival(2D-DOA) estimation algorithm for uniform rectangular array. Compared to conventional circular ESPRIT algorithm, the proposed algorithm exploits the property of noncircular signals through data expansion, so that the array aperture is doubled. Therefore, the angle estimation performance is superior to that of the circular ESPRIT algorithm. Moreover the proposed algorithm has no spectral peak searching and the two-dimension angle estimates can be paired automatically. Simulation results illustrate the effectiveness and improvement of the proposed algorithm.

关键词： uniform rectangular array two-dimensional direction of arrival(2D-DOA) noncircular signals noncircular-ESPRIT

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Spectral efficiency of multi-user millimeter wave systems under single path with uniform rectangular arrays

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EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING 2017年第1期2017卷 1页

作者： Tan, Weiqiang Jin, Shi Wen, Chao-Kai Jiang, Tao Guangzhou Univ Sch Comp Sci & Educ Software Guangzhou 510006 Guangdong Peoples R China Southeast Univ Natl Commun Res Lab Nanjing 210096 Jiangsu Peoples R China Natl Sun Yat Sen Univ Inst Commun Engn Kaohsiung 804 Taiwan Huazhong Univ Sci & Technol Wuhan Natl Lab Optoelect Sch Elect Informat & Commun Wuhan 430074 Hubei Peoples R China

In this paper, we investigate the downlink achievable ergodic spectral efficiency (SE) of a single-cell multi-user millimeter wave system, in which a uniform rectangular array is used at the base station (BS) to serve multiple single-antenna users. We adopt a three-dimensional channel model by considering both the azimuth and elevation dimensions under single-path propagation. We derive the achievable ergodic SE for this system in with maximum ratio transmission precoding. This analytical expression enables the accurate and quantitative evaluation of the effect of the number of BS antennas, signal-to-noise ratio (SNR), and the crosstalk (squared inner product between different steering vectors) which is a function of the angles of departure (AoD) of users and the inter-antenna spacing. Results show that the achievable ergodic SE logarithmically increases with the number of BS antennas and converges to a value in the high SNR regime. To improve the achievable ergodic SE, we also propose a user scheduling scheme based on feedback of users' AoD information and obtain the maximum achievable ergodic SE. Furthermore, we consider a dense user scenario where every user's AoD becomes nearly identical and then derive the system's minimum achievable SE.

关键词： Millimeter wave communications Multi-user MIMO Maximum ratio transmission Spectral efficiency User scheduling uniform rectangular array

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Joint 2-D DOA Estimation and Phase Calibration for uniform rectangular arrays

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2012年第9期60卷 4683-4693页

作者： Heidenreich, Philipp Zoubir, Abdelhak M. Ruebsamen, Michael Tech Univ Darmstadt Inst Telecommun Signal Proc Grp D-64283 Darmstadt Germany Concept Engn Team Intel Mobile Commun D-85579 Neubiberg Germany

A precise model of the array response is required to maintain the performance of direction-of-arrival (DOA) estimation. When modeling errors are present or the sensor environment is time-varying, autocalibration becomes necessary. In this paper, the problem of phase autocalibration for uniform rectangular array (URA) geometries is considered. For the case with a single source, a simple and robust least-squares algorithm for joint 2-D DOA estimation and phase calibration is presented. When performing phase autocalibration with a URA, the phase and DOA parameters cannot be identified together without ambiguity. This problem is discussed and a suitable remedy is suggested. An approximate Cramer-Rao bound and analytical expressions for the mean squared error performance of the proposed estimator are presented. The proposed algorithm for phase autocalibration is extended for the case with multiple sources. The results are evaluated using a representative body of simulations.

关键词： 2-D direction-of-arrival (DOA) estimation autocalibration phase autocalibration uniform rectangular array

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Direction finding and mutual coupling estimation for uniform rectangular arrays

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SIGNAL PROCESSING 2015年 117卷 61-68页

作者： Wu, Han Hou, Chunping Chen, Hua Liu, Wei Wang, Qing Tianjin Univ Sch Elect Informat Engn Tianjin 300072 Peoples R China Univ Sheffield Dept Elect & Elect Engn Sheffield S1 3JD S Yorkshire England

A novel two-dimensional (2-D) direct-of-arrival (DOA) and mutual coupling coefficients estimation algorithm for uniform rectangular arrays (URAs) is proposed. A general mutual coupling model is first built based on banded symmetric Toeplitz matrices, and then it is proved that the steering vector of a URA in the presence of mutual coupling has a similar form to that of a uniform linear array (ULA). The 2-D DOA estimation problem can be solved using the rank-reduction method. With the obtained DOA information, we can further estimate the mutual coupling coefficients. A better performance is achieved by our proposed algorithm than those auxiliary sensor-based ones, as verified by simulation results. (C) 2015 Elsevier B.V. All rights reserved.

关键词： Direction of arrival estimation Mutual coupling uniform rectangular array Rank-reduction

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Computationally efficient 2-D DOA estimation for uniform rectangular arrays

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MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING 2014年第4期25卷 847-857页

作者： Zhang, Wei Liu, Wei Wang, Ju Wu, Siliang Beijing Inst Technol Dept Elect & Informat Beijing 100081 Peoples R China Univ Sheffield Dept Elect & Elect Engn Sheffield S1 3JD S Yorkshire England

A computationally efficient two-dimensional (2-D) direction-of-arrival (DOA) estimation method for uniform rectangular arrays is presented. A preprocessing transformation matrix is first introduced, which transforms both the complex-valued covariance matrix and the complex-valued search vector into real-valued ones. Then the 2-D DOA estimation problem is decoupled into two successive real-valued one-dimensional (1-D) DOA estimation problems with real-valued computations only. All these measures lead to significantly reduced computational complexity for the proposed method.

关键词： Two-dimensional DOA estimation Real-valued uniform rectangular array Computational complexity

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Gain and Phase Autocalibration for uniform rectangular arrays

Gain and Phase Autocalibration for Uniform Rectangular Array...

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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Heidenreich, Philipp Zoubir, Abdelhak M. Tech Univ Darmstadt Signal Proc Grp D-64283 Darmstadt Germany

ISBN: (纸本)9781457705397

To maintain the performance of direction-of-arrival (DOA) estimation, an accurate model of the array response is required. In a time-varying sensor environment, this is only possible with autocalibration. For a uniform linear array, there exist algorithms for autocalibration which exploit the Toeplitz structure of the unperturbed spatial covariance matrix. In this paper, we develop an autocalibration method for 2-D DOA estimation with a uniform rectangular array, in which we exploit a Toeplitz-block Toeplitz structure. We present a simple algorithm for gain and phase estimation, discuss ambiguity problems and evaluate the performance using simulations.

关键词： Autocalibration two-dimensional DOA estimation uniform rectangular array

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rectangular array of electromagnetic vector sensors: tensor modelling/decomposition and DOA-polarisation estimation

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IET SIGNAL PROCESSING 2019年第7期13卷 689-699页

作者： Ahmed, Tanveer Zhang Xiaofei Zheng Wang Pan Gong Nanjing Univ Aeronaut & Astronaut Coll Elect & Informat Engn Nanjing 210016 Jiangsu Peoples R China Southeast Univ State Key Lab Millimeter Waves Nanjing 210096 Jiangsu Peoples R China Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Jiangsu Peoples R China

In this study, the authors propose a fast quadrilinear decomposition algorithm for estimation of the directions-of-arrival and polarisations of the incident sources via a uniform rectangular array of electromagnetic vector sensors (EMVSs). Conventional quadrilinear alternating least squares (QALS), involves computationally intensive Khatri-Rao products in each iteration, to update the parameter matrices (factors). Moreover, QALS is more likely to fall in a local minimum and tends to take more steps before an acceptable solution, which further slows down the convergence and often mis-converges, thereby yielding meaningless results. To preserve the quadrilinearity, they arrange the measurements as a four-dimensional (4D) data (fourth-order tensor), from which a third-order sub-tensor (3D slice) can be obtained by fixing one index along any dimension. These slices are used to create new cost functions that are alternately minimised while updating the factors until convergence. They show that the rows of parameter matrices form the diagonal elements of a tensor, which capture the internal quadrilinearity of data and significantly reduce the cost function in few iterations only. Simulation results verify that the authors' algorithm holds faster convergence, does not mis-converge, provides parameter estimation accuracy similarly to the QALS and superior of the Estimation of Signal Parameters via Rotational Invariance Technique and propagator method.

关键词： parameter estimation tensors iterative methods least squares approximations direction-of-arrival estimation array signal processing matrix algebra internal quadrilinearity cost function parameter estimation accuracy QALS Signal Parameters electromagnetic vector sensors DOA-polarisation estimation fast quadrilinear decomposition algorithm 3D slice third-order sub-tensor fourth-order tensor four-dimensional data acceptable solution local minimum parameter matrices intensive Khatri-Rao products uniform rectangular array incident sources polarisations directions-of-arrival

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Two Dimensional Angle of Arrival Estimation Using Minimum Sparse Ruler Based rectangular array of Antennas 9

Two Dimensional Angle of Arrival Estimation Using Minimum Sp...

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9th International Conference on Information Technology and Electrical Engineering (ICITEE)

作者： Wisudawan, Hasbi N. P. Hidayat, Risanuri Ariananda, Dyonisius Dony Univ Gadjah Mada Fac Engn Dept Elect Engn & Informat Technol Yogyakarta Indonesia

ISBN: (纸本)9781509064779

One important application in the field of adaptive antenna array processing used in recent wireless communications systems, such as cognitive radio applications, is the direction of arrival (DoA) estimation. The existing works suggest that the N-x x N-y, two dimensional (2 - D) antenna array is almost surely able to recover up to [N-x/2] [N-y/2] two dimensional (2 - D) DoA. In this paper, a new 2 - D (azimuth and elevation) DoA estimation method using a minimum sparse ruler based rectangular array of antenna is evaluated. The minimal sparse ruler is used to determine which antennas that have to be deactivated and which antennas that should be remain active. Therefore, it is possible to deactivate some antennas in the uniform rectangular array (URA) leading to a sparse rectangular array (SpRA). While minimizing the reduction in the quality of the resulting DoA estimation with SpRA, the selection and averaging procedure are adopted to tackle these elements. This approach is possible for uncorrelated sources as the covariance matrix of the impinging signals on the URA contains redundant elements. The selection and averaging procedures are adopted to tackle these elements. These steps are followed by the execution of the MUSIC algorithm to compute the 2-D DoA estimates. The simulation study shows that it is possible to employ only 25-antennas in SpRA in order to estimate the azimuth (phi) and the elevation (theta) angles of up to 19 sources. The combinations of (phi) and (theta) is drawn from the range of 0 degrees <= phi <= 180 degrees and 0(0) <= theta <= 90 degrees. The separation in azimuth and elevation angles between sources is at least 10 degrees.

关键词： 2-D DoA uniform rectangular array minimal sparse ruler sparse rectangular array MUSIC

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Joint Frequency and 2-D DOA Recovery with sub-Nyquist Difference Space-Time array 25

Joint Frequency and 2-D DOA Recovery with sub-Nyquist Differ...

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25th European Signal Processing Conference (EUSIPCO)

作者： Kumar, A. Anil Chandra, M. Girish Balamuralidhar, P. TCS Res & Innovat Bangalore Karnataka India

ISBN: (纸本)9780992862671

In this paper, joint frequency and 2-D direction of arrival (DOA) estimation at sub-Nyquist sampling rates of a multi-band signal (MBS) comprising of P disjoint narrowband signals is considered. Beginning with a standard uniform rectangular array (URA) consisting of M = M-x x M-y sensors, this paper proposes a simpler modification by adding a N - 1 delay channel network to only one of the sensor. A larger array is then formed by combining the sub-Nyquist sampled outputs of URA and the delay channel network, referred to as the difference space-time (DST) array. Towards estimating the joint frequency and 2-D DOA on this DST array, a new method utilizing the 3-D spatial smoothing for rank enhancement and a subspace algorithm based on ESPRIT is presented. Furthermore, it is shown that an ADC sampling frequency of f(s) >= B suffices, where B is the bandwidth of the narrow-band signal. With the proposed approach, it is shown that O(MN/4) frequencies and their 2-D DOAs can be estimated even when all frequencies alias to the same frequency due to sub-Nyquist sampling. Appropriate simulation results are also presented to corroborate these findings.

关键词： Joint frequency-direction of arrival estimation sub-Nyquist sampling Space-time array ESPRIT uniform rectangular array Multiple-delay architecture

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Interference Localization via Direction of arrival estimation for Satellite with Planar array 4

Interference Localization via Direction of arrival estimatio...

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4th International Conference on Intelligent System and Applied Material (GSAM)

作者： Qiu, Xiaofeng Zhang, Xiaofei PLA Univ Sci & Technol Inst Command Informat Syst Nanjing 210007 Jiangsu Peoples R China Nanjing Univ Key Lab Radar Imaging & Microwave Photon Nanjing 210016 Peoples R China

ISBN: (纸本)9783038353140

This paper presents the model of satellite planar array, and interference localization via direction of arrival(DOA) estimation. We derive a dimension reduction DOA estimaton algorithm therein. The proposed algorithm, which only requires a one-dimensional local searching, can avoid the high computational cost within two-dimensional multiple signal classification (2D-MUSIC) algorithm. We illustrate that the proposed algorithm has better angle estimation performance than estimation method of signal parameters via rotational invariance technique (ESPRIT) algorithm, and has very close angle estimation performance to 2D-MUSIC algorithm. Furthermore, our algorithm requires no extra pairing. Simulation results present the usefulness of our algorithm.

关键词： Satellite Planar array direction of arrival (DOA) uniform rectangular array

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