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doa estimation algorithm based on DFT and multiple regression

IET COMMUNICATIONS 2020年第22期14卷 4127-4134页

作者： Mao, Yuqian Zhang, Gong Nanjing Univ Aeronaut & Astronaut Key Lab Radar Imaging & Microwave Photon Minist Educ Nanjing 211106 Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Elect & Informat Engn Nanjing 211106 Peoples R China

In order to address the problem that the direction-of-arrival (doa) estimation is restricted by the number of array elements, this study comes up with a novel doa estimation algorithm based on discrete-Fourier-transformation (DFT) and multiple regression, which focuses on the direct data domain from each array element rather than the traditional covariance domain of the whole array. In this algorithm, the authors regard each channel of the array signal model as an independent form of multiple regression and achieve the doa by estimating the regression coefficient of the reconstructed source signal from each array element one by one iteratively. In addition, the doas estimated from the multiple array elements are averaged to improve the accuracy by exploiting the asymptotic normality. This algorithm is proposed, modelled, and developed theoretically at first. Then the capabilities that the authors' algorithm can estimate not only the very close doas since they distinguish the irrelevant sources by the DFT on temporal frequency but also the doas when the number of sources is larger than that of array elements are fully demonstrated by simulations. Furthermore, no requirement for the known number of sources brings the algorithm broader application foreground.

关键词： discrete Fourier transforms direction-of-arrival estimation array signal processing regression analysis covariance analysis signal reconstruction iterative methods multiple regression direction-of-arrival estimation discrete-Fourier-transformation DFT array signal model regression coefficient doa estimation algorithm covariance domain reconstructed source signal

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Widened nested array: configuration design, optimal array and doa estimation algorithm

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IET MICROWAVES ANTENNAS & PROPAGATION 2020年第5期14卷 440-447页

作者： Lin, Xinping Gong, Pan He, Lang Li, Jianfeng Nanjing Univ Aeronaut & Astronaut Coll Elect & Informat Engn Nanjing Peoples R China Nanjing Univ Aeronaut & Astronaut Minist Ind & Informat Technol Key Lab Dynam Cognit Syst Electromagnet Spectrum Nanjing Peoples R China

A generalised nested array (GNA) configuration with large minimum inter-element spacing is attractive to alleviate mutual coupling. In this study, by decomposing and rearranging the sub-arrays of GNA, the authors propose a new nested array configuration named as widened nested array (WNA). The WNA enables to provide the reduced mutual coupling, enhanced degrees of freedom (DOFs), extended array aperture and improved direction of arrival (doa) estimation performance compared to GNA. The closed-form expressions for sensor positions of WNA are given and the optimal array configuration for largest DOFs is derived. Meanwhile, the authors propose a partial angular compressed sensing(CS) based doa estimation algorithm for WNA. Specifically, discrete Fourier transform method is first derived for consecutive DOFs of WNA to obtain initial doa estimates. Subsequently, the initial estimates are utilised to compress the angular range of overcomplete dictionary of the CS algorithm, which is exploited to obtain the fine doa estimates. Extensive simulation results testify that the proposed algorithm has the same estimation accuracy as CS algorithm with lower complexity.

关键词： array signal processing discrete Fourier transforms direction-of-arrival estimation correlation methods matrix algebra widened nested array configuration design doa estimation algorithm generalised nested array configuration GNA minimum inter-element spacing WNA reduced mutual coupling extended array aperture arrival estimation performance optimal array configuration initial doa estimates initial estimates CS algorithm fine doa estimates estimation accuracy

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Improved doa estimation algorithm for co-prime linear arrays using root-MUSIC algorithm

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ELECTRONICS LETTERS 2017年第18期53卷 1277-1278页

作者： Zhang, Dong Zhang, Yongshun Zheng, Guimei Feng, Cunqian Tang, Jun Air Force Engn Univ Air & Missile Def Coll Xian 710051 Shaanxi Peoples R China Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China

The problem of direction of arrival (doa) estimation with co-prime linear arrays is researched. An improved doa estimation algorithm based on root-multiple signal classification (MUSIC) is proposed. The method can solve the matching error problem in Sun's algorithm. In addition, it can make full use of signal space and noise space to improve the estimation accuracy with low complexity. Experimental results verify the validity of the proposed algorithm.

关键词： array signal processing Signal processing theory Signal processing and detection doa estimation algorithm direction-of-arrival estimation direction of arrival estimation noise space Sun’s algorithm root-MUSIC algorithm signal space signal classification estimation accuracy coprime linear arrays

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Effect of spatial smoothing on the performance of doa estimation algorithm based on the largest Eigenvalue 3

Effect of spatial smoothing on the performance of DOA estima...

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2002 3rd International Conference on Microwave and Millimeter Wave Technology

作者： Wu Haitao Feng Zhenghe State Key Lab on Microwave ＆ Digital Communications Department of Electronics EngineeringTsinghua University

ISBN: (纸本)078037486X

＜正＞Focus on the smart antennas in DS-CDMA system,reference[1]offers a novel doa estimation algorithm based on the Largest Eigenvalue of the covariance *** with MUSIC estimation algorithm,the new one has quite good stability and robustness,and has better perfomiance under multi-path propagation *** paper presents further analysis of perfomiance of the later algorithm and gives a study on the effect of space smoothing.

关键词： direction-of-arrival estimation eigenvalues and eigenfunctions adaptive antenna arrays spread spectrum communication covariance matrices multipath channels code division multiple access spatial smoothing doa estimation algorithm eigenvalue smart antennas DS-CDMA system covariance matrix stability robustness multi-path propagation space smoothing

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STUDY OF doa estimation algorithm FOR UNDERDETERMINED CASE

STUDY OF DOA ESTIMATION ALGORITHM FOR UNDERDETERMINED CASE

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OCEANS - MTS/IEEE Kobe Techno-Oceans Conference (OTO)

作者： Gupta, Payal Agrawal, Monika Indian Inst Technol Ctr Appl Res Elect New Delhi 110016 India

ISBN: (纸本)9781538616543

Fourth order cumulant based sparse array enhances the degrees of freedom to estimate Direction of Arrival (doa). Various algorithms have been presented to estimate doa from the received data of these sparse array. In this paper, we conduct a study to understand the source resolving capabilities, and other performance metrics of cumulant based sparse array. All performance studies and comparisons are based on computer simulations.

关键词： doa estimation algorithm Sparse array Direct Augmentable Approach (DAA) Spatial smoothing Compressive sensing Fourth order cumulant

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doa estimation algorithms for low-angle targets with MIMO radar

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ELECTRONICS LETTERS 2016年第8期52卷 652-653页

作者： Shi, Junpeng Hu, Guoping Lei, Teng Air Force Engn Univ Air & Missile Def Coll Radar Engn Dept Xian 710051 Shaanxi Peoples R China PLA Unit 95899 Jiuquan 735018 Peoples R China

The direction of arrival estimation algorithm for low-angle targets with MIMO radar is discussed, and a novel peaks searching algorithm according to the multipath received signal model is derived. The proposed algorithm, which uses the multipath echo signal power and MIMO radar spatial diversity, can avoid the effects of complex multipath transmitter variable and targets glint. It is illustrated that the algorithm has a better performance with the increase of multipath variable or the transmit antennas. Simulation results verify the usefulness of the algorithm.

关键词： direction-of-arrival estimation MIMO radar echo transmitting antennas radar antennas radar detection doa estimation algorithm low-angle target MIMO radar direction of arrival estimation algorithm peaks searching algorithm multipath received signal model multipath echo signal power spatial diversity complex multipath transmitter variable effect targets glint effect transmit antenna

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Generalised algorithm for doa estimation in unknown correlated noise

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ELECTRONICS LETTERS 2000年第22期36卷 1893-1894页

作者： Zhao, YB Zhang, SH Xidian Univ Key Lab Radar Signal Proc Xian 710071 Peoples R China

A new method is proposed for doa estimation in the presence of unknown correlated noise fields when the array is linear with equispaced sensors. The proposed method, which employs the modified covariance differencing technique, can efficiently eliminate the effects of correlated noise on the array eigenstructure. The performance of this method is examined using simulations.

关键词： covariance differencing technique unknown correlated noise eigenstructure linear array array signal processing numerical simulation doa estimation algorithm direction-of-arrival estimation Signal processing and detection covariance matrices

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Computationally efficient high-resolution doa estimation in multipath environment

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ELECTRONICS LETTERS 2004年第14期40卷 908-910页

作者： Al-Ardi, EM Shubair, RM Al-Mualla, ME Etisalat Coll Engn Sharjah U Arab Emirates

A computationally efficient direction of arrival (doa) estimation algorithm using a linear array of equispaced sensors is proposed for a multipath environment with unknown correlated signals. The algorithm comprises two stages: a first stage for discriminating uncorrelated signals, and a second stage for resolving the directions of arrival of the correlated signals using covariance differencing and iterative spatial smoothing. Simulation results show that the proposed algorithm operates at a much lower computational cost compared to standard methods.

关键词： high-resolution algorithm covariance matrices array signal processing multipath environment uncorrelated signal discrimination linear array sensor correlated signals iterative spatial smoothing computational cost direction of arrival estimation algorithm doa resolution doa estimation algorithm smoothing methods direction-of-arrival estimation covariance differencing Signal detection iterative methods signal resolution computationally efficient algorithm

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doa estimation in the presence of unknown non-uniform noise with coprime array

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ELECTRONICS LETTERS 2017年第2期53卷 113-114页

作者： Tian, Ye Shi, Hongyin Xu, He Yanshan Univ Sch Informat Sci & Technol Qinhuangdao 066004 Peoples R China

The aim is to present a new direction-of-arrival (doa) estimation algorithm, which is better suited for dealing with unknown nonuniform noise, as well as estimating more sources with less sensors. To achieve this goal, three key steps are exploited: a first step is to extend the array aperture by using coprime array and conjugate symmetry strategy, a second step is to avoid phase ambiguity via vector element reorganisation and a third step is to obtain a full-rank covariance matrix through subvector division, which has the same form with the covariance matrix obtained in uniform Gaussian white noise. Simulation results show that the proposed algorithm can provide better doa estimation performance than the compared algorithms.

关键词： array aperture vector element reorganisation array signal processing unknown nonuniform noise conjugate symmetry strategy coprime array doa estimation algorithm uniform Gaussian white noise Algebra direction-of-arrival estimation Signal processing and detection direction-of-arrival estimation algorithm full-rank covariance matrix Signal processing theory covariance matrices phase ambiguity avoidance

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Non-circular signals for nested array: sum-difference co-array and direction of arrival estimation algorithm

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IET RADAR SONAR AND NAVIGATION 2020年第1期14卷 27-35页

作者： Wang Yunfei Shen Jinqing Zhang Xiaofei He Yi Dai Xiangrui Nanjing Univ Aeronaut & Astronaut Coll Elect & Informat Engn Nanjing 210016 Peoples R China Southeast Univ State Key Lab Millimeter Waves Nanjing 210096 Peoples R China Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Peoples R China

Nested array has aroused remarkable attention due to the capability to obtain both enhanced degrees of freedom (DOFs) and enlarged array aperture, whereas only difference co-array is employed. Here, the authors construct the sum co-array of nested array by utilising the non-circular (NC) characteristic and, subsequently, the sum-difference (SD) co-array is obtained by careful crafting of the sum co-array and the typical difference co-array, which doubles the resulting co-array aperture and, simultaneously, further increases the achievable DOF compared with the difference co-array of nested array. Moreover, to circumvent the time-consuming two-dimensional spectral search, the authors proposed the reduced-dimension multiple signals classification (MUSIC) algorithm with the SD (SD-RD-MUSIC) co-array of the nested array by discarding the NC phase. Resultantly, the proposed SD-RD-MUSIC co-array algorithm can resolve more signals and obtain more accurate direction of arrival estimates. In addition, the effectiveness and superiority of the proposed method are validated by numerical simulations.

关键词： array signal processing direction-of-arrival estimation signal classification nested array sum-difference co-array sum co-array typical difference co-array co-array algorithm noncircular signals direction of arrival estimation doa estimation algorithm enhanced degrees of freedom co-array aperture enlarged array aperture two-dimensional spectral search reduced-dimension multiple signals classification MUSIC algorithm SD-RD-MUSIC co-array algorithm

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