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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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Massive-MIMO Hybrid Precoder Design Using Few-Bit DACs for 2D Antenna array Structures

Massive-MIMO Hybrid Precoder Design Using Few-Bit DACs for 2...

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IEEE International Conference on Communications (ICC)

作者： Mahmood, Mobeen Koc, Asil Tho Le-Ngoc McGill Univ Dept Elect & Comp Engn Montreal PQ Canada

ISBN: (纸本)9781728171227

This paper investigates the performance of different antenna array structures for hybrid massive-MIMO precoding schemes using few-bit DACs. Particularly, the proposed hybrid scheme includes two precoding stages: the RF-beamforming stage is designed via the slowly time-varying channel second-order correlation matrix, while the baseband multi-user (MU) precoding stage is constructed via the regularized zero-forcing (RZF) technique to mitigating the MU-interference. For the same system cost and complexity, we examine the achieved sum-rate and energy efficiency of various 2D antenna array structures, namely, uniform linear array (ULA), uniform rectangular array (URA), uniform circular array (UCA), and concentric circular array (CCA), in serving multiple users at different angular locations. The Monte Carlo simulation results indicate the higher achievable rate and energy efficiency of CCA by using low-resolution DACs as compared to various 2D array structures. We also show that only (3-5)-bit DACs are sufficient to provide comparable spectral and energy efficiencies.

关键词： Hybrid precoding massive MIMO few-bit DACs uniform linear array uniform circular array uniform rectangular array concentric circular array

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DOA Estimation using Planar Sparse Fractal array 22

DOA Estimation using Planar Sparse Fractal Array

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22nd IEEE Statistical Signal Processing Workshop (SSP)

作者： Goel, Kretika Agrawal, Monika Kar, Subrat IIT Delhi SENSE New Delhi India IIT Delhi CARE New Delhi India IIT Delhi Dept Elect Engg New Delhi India

ISBN: (纸本)9781665452458

The term fractal refers to the fractional dimensions that have recursive nature and when clubbed with the properties of sparse arrays leads to the generation of a novel array called a sparse fractal array. In this paper, we extend our research to the 2D domain by introducing planar sparse arrays which generate hole-free difference coarray and have O(N-2) elements just like the OBA but here in the new closed box form, with the additional property of fractal arrays along with sparseness. To estimate azimuth and elevation angle we have designed planar sparse fractal arrays using nested arrays and coprime arrays as the fundamental basic generating array which helps in achieving a high degree of freedom which makes it useful for DOA estimation. Simulations show that the proposed planar arrays have the better estimation performance when compared with existing planar arrays like URA, OBA, and CPA.

关键词： uniform rectangular array DOA(direction of arrival) Estimation DOF(degree of freedom) Open box array Close box array Coprime planar array Sparse array Fractal array

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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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2D Antenna array Structures for Hybrid Massive MIMO Precoding

2D Antenna Array Structures for Hybrid Massive MIMO Precodin...

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IEEE Global Communications Conference (GLOBECOM) on Advanced Technology for 5G Plus

作者： Mahmood, Mobeen Koc, Asil Le-Ngoc, Tho McGill Univ Dept Elect & Comp Engn Montreal PQ Canada

ISBN: (纸本)9781728182988

This paper investigates the performance behaviours of various antenna array structures for hybrid massive-MIMO precoding schemes. In particular, the proposed hybrid scheme includes two cascaded stages: the RF-beamforming stage is designed via the eigen-decomposition of the massive-MIMO channel second-order correlation matrix while the baseband multi-user (MU) precoding stage is constructed via the regularized zero-forcing (RZF) technique to mitigating the MU-interference in the reduced-dimension effective MU-channel. A transfer block is introduced between the RF-beamforming and baseband precoding stages to significantly reduce the number of required RE chains. For the same number of antenna elements with half-wavelength spacing, we examine the achieved sum-rate performance of different 2D antenna array structures, namely, uniform linear array (ULA), uniform rectangular array (URA), uniform circular array (UCA), and concentric circular array (CCA), in serving multiple users in various angle-of-departure (AoD) settings. Simulation results indicate that, among the array structures, URA and CCA can offer both smaller array sizes and higher achieved sum-rate. Furthermore, for various user angular locations, the sum-rate of URA can vary about 2 bits/s/Hz while CCA can give an invariant sum-rate performance.

关键词： Hybrid precoding uniform linear array uniform circular array uniform rectangular array concentric circular array massive MIMO

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Detection of the Number of Signals in uniform arrays by Invariant-Signal-Subspace Matching

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2022年 70卷 1270-1281页

作者： Wax, Mati Adler, Amir Technion Israel Inst Technol IL-3200003 Haifa Israel Ort Braude Coll Engn Elect Engn Dept IL-2161002 Karmiel Israel

We present a novel and computationally simple solution to the problem of detecting the number of signals in the case of uniform linear arrays (ULA) and uniform rectangular arrays (URA), which is applicable to white and colored noise, and to a very small number of samples. The solution is based on novel and non-asymptotic goodness-of-fit metric, referred invariant signal subspace matching (ISSM), which is aimed at matching the signal subspaces of two subarrays which are translation invariant. We form a pair of projection matrices on the signal subspaces - one for each subarray - which are parameterized by the number of signals k and constructed from the k leading eigenvectors of the sample-covariance matrices of the subarrays. The value of k which minimizes this metric is selected as the number of signals. We prove the consistency of the ISSM criterion for the high signal-to-noise-ratio (SNR) limit, and also for the large-sample limit, conditioned on the noise being white. The evaluation of the ISSM criterion involves only the computation of eigenvectors of the sample-covariance matrix of the the array. Simulation results, demonstrating the improved performance of the ISSM criterion over existing criteria, especially for colored noise, are included.

关键词： Number of signals source enumeration uniform linear array uniform rectangular array colored noise signal subspace translation invariant subspace

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Hybrid virtual polarimetric massive MIMO measurements at 1.35 GHz

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IET MICROWAVES ANTENNAS & PROPAGATION 2019年第15期13卷 2610-2618页

作者： Challita, Frederic Laly, Pierre Lienard, Martine Tanghe, Emmeric Joseph, Wout Gaillot, Davy P. Univ Lille IEMN Batiment P3 F-59655 Villeneuve Dascq France Univ Ghent IMEC WAVES Ghent Belgium

The polarimetric massive multiple-input multiple-output (MIMO) radio channel of an indoor line-of-sight scenario is investigated at 1.35 GHz using a real-time radio channel sounder. The 8 x 12 massive MIMO transmitter is constructed using a hybrid architecture including a vertical uniform linear array translated at different horizontal positions forming a virtual, yet realistic, uniform rectangular array. The performance of the system is evaluated with six users distributed in the room for different polarisation schemes and receiver orientations using propagation channel-based metrics (such as receiver spatial correlation and Rician factor) and system-oriented metrics such as sum-rate capacity and signal to interference and noise ratio. The results show a clear dependence of the performance to the polarisation schemes and receiver orientation and showing that when facing the array, cross-polarisation can be very beneficial. Furthermore, it is concluded that the additional degree of freedom brought by the polarisation diversity can contribute to improve spectral efficiency (similar to 20% depending on the configuration), paving the way for further capacity enhancements in massive MIMO systems. It was also found that the receiver spatial correlation can be modelled using a Burr distribution.

关键词： Rician channels MIMO systems MIMO communication wireless channels antenna arrays indoor radio yet realistic array uniform rectangular array different polarisation schemes receiver orientation propagation channel-based metrics receiver spatial correlation system-oriented metrics sum-rate capacity signal cross-polarisation massive MIMO systems hybrid virtual polarimetric massive MIMO measurements polarimetric massive multiple-input multiple-output radio channel line-of-sight scenario GHz real-time radio channel sounder 8 x 12 massive MIMO transmitter hybrid architecture vertical uniform linear array different horizontal positions virtual array frequency 1 35 GHz

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Construction of Golay Complementary Matrices and Its Applications to MIMO Omnidirectional Transmission

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2021年 69卷 2100-2113页

作者： Li, Fengjie Jiang, Yi Du, Cheng Wang, Xin Fudan Univ Key Lab Informat Sci Electmagnet Waves MoE Dept Commun Sci & Engn Sch Informat Sci & Technol Shanghai 200433 Peoples R China

Golay complementary sequences (GCS) have found wide applications in radar and communications thanks to their prominent property of complementary autocorrelation. This paper studies the extension of Golay complementary sequences to Golay complementary matrices (GCM), i.e, a pair of matrices whose two-dimensional autocorrelations add to be a two-dimensional delta-function. While the construction of (real) binary GCM are available in the literature, how to construct the quaternary GCM (and the more general unimodular GCM) remains unknown. We put together this missing piece, and show the feasible size that allows for binary and quaternary GCM. The feasible sizes can be further expanded if the phases of the matrices' entries can be arbitrary. In addition, we consider the extension of the GCM to the set of N (N >= 2) matrices, whose two-dimensional autocorrelations add to be a two-dimensional d-function, which we refer to as autocorrelation complementary matrices (ACM). For N = 4, the ACM allows for matrices of arbitrary size. The GCM/ACM can be applied to omnidirectional transmission for a multi-input multi-output (MIMO) communication system with a uniform rectangular array (URA), which is useful for broadcasting cell-wide common messages. We propose two schemes for omnidirectional transmission, one is based on space-time block code (STBC) and the other is based on the dual cross-polarization of the antenna array. Both schemes can be implemented in the radio frequency (RF) analog domain, generating (theoretically) perfect omnidirectional beampattern with low hardware cost.

关键词： Complete complementary codes Golay complementary sequences omnidirectional precoding uniform rectangular array

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Beamforming with 2D-AOA estimation for pilot contamination reduction in massive MIMO

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TELECOMMUNICATION SYSTEMS 2019年第4期71卷 541-552页

作者： Ali, Ehab Ismail, Mahamod Nordin, Rosdiadee Abdulah, Nor Fadzilah Univ Kebangsaan Malaysia Fac Engn & Built Environm Dept Elect Elect & Syst Engn Bangi 43600 Selangor Malaysia

The upcoming fifth-generation wireless mobile systems are projected to be commercialized in the year 2020 and are set to play the main role in massive multiple input-multiple output (mMIMO) integrated with the technologies of beamforming antenna arrays. However, the performance of mMIMO is constrained by inter-cell interference from adjacent cells triggered by the reused pilot, an issue termed pilot contamination. To address this issue, this paper focuses on mitigating pilot contamination by implementing a suboptimal spatial source detection method based on the beamforming approach using a two-dimension-unitary estimation of the signal parameters through rotational invariance techniques algorithm. We jointly used 2D-AOA information (azimuth and elevation angles) and statistical channel estimations at the BSs to identify the channels correlation condition and evaluate the sum rate performance of users based on AOA. The detected signals from the uniform rectangular array are used to segregate the required signal from the interfering signal without any change to the pilot construction of the training signals. The performance of the minimum mean squared error beamforming (MMSE-beamforming) technique in the multi-cell mMIMO system of the aforementioned method is numerically evaluated and then compared with conventional methods that depend only on pilot identity information. The simulation reveals that the achievable sum rate gains of 2D-AOA and the pilot identity information techniques (best case) with respect to deterministic MMSE are 96.3% and 85.4%, respectively, thus showing the prospect of eliminating the majority of pilot contamination using the 2D-AOA estimation.

关键词： 2-D angle of arrival 2D-UESPRIT Massive MIMO MMSE-beamforming Pilot contamination uniform rectangular array

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Estimation of two-dimensional direction-of-arrival for uncorrelated and coherent signals with low complexity

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IET RADAR SONAR AND NAVIGATION 2010年第4期4卷 507-519页

作者： Zhang, Y. Ye, Z. Xu, X. Cui, J. Univ Sci & Technol China Dept Elect Engn & Informat Sci Hefei 230027 Anhui Peoples R China

In this study, a low complexity two-dimensional direction-of-arrival (2-D DOA) estimation method is proposed with uniform rectangular array (URA) when uncorrelated and coherent signals coexist. By using a new method of modified estimation of signal parameters via rotation invariance techniques (ESPRIT), the DOAs of uncorrelated signals are first estimated. Afterwards, the contributions of uncorrelated signals are eliminated, and then a new Toeplitz matrix without the information of uncorrelated signals is constructed. Using the product of the Toeplitz matrix and its conjugate transpose matrix, the remaining coherent signals can be resolved. With the two-step processing, the proposed method can resolve more signals with low computational complexity. Simulation results demonstrate the effectiveness and efficiency of the proposed method. The Cramer-Rao bound (CRB) for this signal scenario is also derived.

关键词： array signal processing Toeplitz matrices 2D DOA Signal processing theory ESPRIT computational complexity coherent signals uniform rectangular array Cramer-Rao bound uncorrelated signals direction-of-arrival estimation two-dimensional direction-of-arrival estimation Signal processing and detection signal parameters via rotation invariance techniques Algebra Toeplitz matrix

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