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Fast and Accurate Approach for DOA Estimation of Coherent Signals

Yuhong Liu, Hui Cao, Yuntao Wu, Kehao Wang, Abdul Basit
2022 Wireless Communications and Mobile Computing  
An algorithm for estimation of direction of arrival (DOA) based on QR decomposition is proposed for coherent signals in this paper.  ...  Based on the resulting data matrix, whereafter, QR decomposition with the iteratively weighted least squares (IWLS) as solver is proposed to reduce the computational complexity of DOA estimation.  ...  Acknowledgments This work was jointly supported by the Hubei Key Laboratory of Intelligent Robot (HBIR202005), Natural Science Foundation of Hubei Province (2020CFB439), the Three Gorges Laboratory Open  ... 
doi:10.1155/2022/3652936 fatcat:aihb5ssrfrggbbgbfe2btswa54

Fast sequential source localization using the Projected Companion Matrix approach

Mohammed Nabil El Korso, Remy Boyer, Sylvie Marcos
2009 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)  
Of Arrival) to form an intermediate array gain matrix and project both the array manifold and the signal subspace estimate into its orthogonal complement.  ...  based on the root-MUSIC algorithm does not exist.  ...  A variety of high-resolution algorithms are based on the singular/ eigen value decomposition and are referred to as subspace based methods and they split the range space associated with sample covariance  ... 
doi:10.1109/camsap.2009.5413288 fatcat:vpaxvtdj3jgijlk53mrl7nv2im

MUSIC 2D-DOA Estimation using Split Vertical Linear and Circular Arrays

Yasser Albagory, Amira Ashour
2013 International Journal of Computer Network and Information Security  
This technique is based on an array that is composed by a vertical uniform linear array located perpendicularly at the center of another uniform circular array.  ...  In this paper, the MUSIC 2D-DOA estimation is estimated by splitting the angle into elevation and azimuth components.  ...  However, conventional subspace techniques for 2-D DOA estimation such as MUSIC [22] necessitate eigen decomposition of the sample covariance matrix or the singular value decomposition of the data matrix  ... 
doi:10.5815/ijcnis.2013.08.02 fatcat:2bavlxw56jf2bdx3udwnlupgim

Parallel Implementation of the Wideband DOA Algorithm on Single Core, Multicore, Gpu and Ibm Cell be Processor

Mohammad Wadood Majid
2013 Science Journal of Circuits Systems and Signal Processing  
The Multiple Signal Classification (MUSIC) algorithm is a powerful technique for determining the Direction of Arrival (DOA) of signals impinging on an antenna array.The algorithm is serial based, mathematically  ...  The algorithm has also been implemented on single core for comparison purposes. Wideband DOA algorithm is implemented assuming 16 and 4 sensors using Uniform Linear Array (ULA).  ...  The eigenvector matrix is split into signal subspace and noise subspace using Akaike Information Criterion (AIC) [4] .  ... 
doi:10.11648/j.cssp.20130202.12 fatcat:hzf4apcq3bg4zjz3hghm5lzgym

A DOA Estimation Method with Kronecker Subspace for Coherent Signals

Masaaki Inoue, Kazunori Hayashi, Hiroki Mori, Toshihisa Nabetani
2018 IEEE Communications Letters  
Resulting algorithm estimates the DOA of a signal by iterations and can track the DOA in the presence of coherent signals.  ...  The simulation proves the possibility of estimating forward-backward averaged correlation matrix via proposed approach.  ...  S1 S2 Based on the matrices U and U calculate the matrix 12 22 G, of dimension 2M × 2M: (4) Decompose the matrix G with respect to its eigenvectors and eigenvalues and split the eigenvector matrix V into  ... 
doi:10.1109/lcomm.2018.2870824 fatcat:nt7d7jhv3raezhvfpdlppprhcm

Rational invariant subspace approximations with applications

M.A. Hasan, M.R. Azimi-Sadjadi, A.A. Hasan
2000 IEEE Transactions on Signal Processing  
In subspace methods, the data matrix or a matrix of some statistics of the data is normally decomposed into two orthogonal subspaces.  ...  Then, the direction of arrival (DOA) is estimated using the orthogonality of the noise subspace and the array manifold (MUSIC and MIN-NORM) or the rotation invariance over the signal subspace (ESPRIT).  ...  Estimation Based on Lagged Covariance Matrix As shown in [27] and [28] , subspace methods can be derived based on lagged covariances.  ... 
doi:10.1109/78.875461 fatcat:rkeokyfghfaaxlymptm6u563kq

Fast Target Localization Method for FMCW MIMO Radar via VDSR Neural Network

Jingyu Cong, Xianpeng Wang, Xiang Lan, Mengxing Huang, Liangtian Wan
2021 Remote Sensing  
Firstly, we propose a fast low-resolution imaging algorithm based on the Nystrom method.  ...  The approximate signal subspace matrix is obtained from partial data, and low-resolution imaging is performed on a low-density grid.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13101956 fatcat:fw2azzaenvgcvjjdwnnvgyqhpu

Tensor-Based Subspace Tracking for Time-Delay Estimation in GNSS Multi-Antenna Receivers

Caio C. R. Garcez, Daniel Valle de Lima, Ricardo Kehrle Miranda, Fábio Mendonça, João Paulo C. L. da Costa, André L. F. de Almeida, Rafael T. de Sousa Jr.
2019 Sensors  
In this work, we propose a tensor-based subspace tracking framework to reduce the overall computational complexity of the highly accurate tensor-based time-delay estimation process.  ...  State-of-the-art techniques for antenna array based GNSS receivers compute singular value decomposition (SVD) for each new sample, implying into a high computational complexity, being, therefore, prohibitive  ...  Algorithm A1. 3.1 When performing subspace-based DoA methods, emploŷ U s (t) as an estimated basis, instead of performing a full EVD/SVD on the array covariance matrix. end Table 1 .  ... 
doi:10.3390/s19235076 pmid:31757108 pmcid:PMC6928862 fatcat:y6aieaseavhuhfj5arx7bxo4du

Joint Doppler and DOA Estimation Using (Ultra-)Wideband FMCW Signals

Shengzhi Xu, Bert Jan Kooij, Alexander Yarovoy
2019 Signal Processing  
Acknowledgment The authors would like to thank the China Scholarship Council (CSC) for the funding support.  ...  The authors thank the editor and the anonymous referees for their valuable suggestions and comments.  ...  Conclusions In this paper, a novel joint Doppler-DOA estimation using the UWB FMCW array-based radar for moving targets is proposed.  ... 
doi:10.1016/j.sigpro.2019.107259 fatcat:xvwadakeyfeonhie27awvtpstm

Improved Source Number Detection and Direction Estimation With Nested Arrays and ULAs Using Jackknifing

Keyong Han, Arye Nehorai
2013 IEEE Transactions on Signal Processing  
We consider the problem of source number detection and direction-of-arrival (DOA) estimation, based on uniform linear arrays (ULAs) and the newly proposed nested arrays.  ...  Numerical simulations demonstrate the superiority of our strategy when applied to source number detection and DOA estimation, both for ULAs and nested arrays.  ...  MUSIC DOA estimation is based on the condition that we already know, or have already estimated the source number. MUSIC is one of the earliest proposed subspace-based algorithms for DOA estimation.  ... 
doi:10.1109/tsp.2013.2283462 fatcat:dhur3gsprrhzjestid5byrswam

Subspace Tracking Based On The Constrained Projection Approximation Approach

Amir Valizadeh, Mahmood Karimi
2007 Zenodo  
Publication in the conference proceedings of EUSIPCO, Poznan, Poland, 2007  ...  The estimation of the signal subspace is commonly based on the traditional eigenvalue decomposition (EVD) or singular value decomposition (SVD).  ...  A large number of methods such as SVD or EVD use covariance matrix of data to estimate the signal subspace.  ... 
doi:10.5281/zenodo.40225 fatcat:2kzvhnhw4zeuvoesvgopgn6aua

Direction finding algorithms based on joint iterative subspace optimization

Lei Wang, Rodrigo C. de Lamare, Martin Haardt
2014 IEEE Transactions on Aerospace and Electronic Systems  
Subspace algorithms to estimate the rank-reduction matrix and the auxiliary vector are proposed.  ...  A rank-reduction matrix and an auxiliary reduced-rank parameter vector are jointly optimized to calculate the output power with respect to each scanning angle.  ...  We use the matrix inversion lemma to develop an algorithm based on recursive least squares (RLS) for DOA estimation.  ... 
doi:10.1109/taes.2014.120395 fatcat:rxhiwkhc7rhnhjgfxoujonwwzq

Utilizing Principal Singular Vectors for 2D DOA Estimation in Single Snapshot Case with Uniform Rectangular Array

Yuntao Wu, Xiaobing Pei, Hing Cheung So
2015 International Journal of Antennas and Propagation  
The problem of azimuth and elevation directions of arrival (DOAs) estimation using a uniform rectangular array (URA) in single snapshot case is addressed in this paper.  ...  Using the principal singular vectors of the observed data matrix, an iterative procedure based on the linear prediction property, and weighted least squares is proposed for finding the DOAs with lower  ...  Acknowledgments The work described in this paper was jointly supported by a grant from the National Natural Science Foundation of China (Project no. 61172156), the Program for New Century Excellent Talents  ... 
doi:10.1155/2015/681251 fatcat:7tef4csp3vg2xfbfczmfwcl7wu

One-dimensional MUSIC-type Algorithm for Spherical Microphone Arrays

Qinghua Huang, Tingwei Chen
2020 IEEE Access  
The mapping matrix only depends on the array configuration and can be calculated prior to DOA estimation.  ...  The two-dimensional angle search can be transformed into two onedimensional angle findings based on the mapping matrix.  ...  By using the fast subspace decomposition technique [39] , the complexity to find D-dimensional noise subspace V.  ... 
doi:10.1109/access.2020.2972069 fatcat:dgdi467p6nb45dt2yn4ozmvu6m

Two decades of array signal processing research: the parametric approach

H. Krim, M. Viberg
1996 IEEE Signal Processing Magazine  
The introduction of subspace-based estimation techniques [ 13, 1051 marked the beginning of a new era in the sensor array signal processing literature.  ...  Sensor array signal processing emerged as an active area of research and was centered on the ability tofuse data collected at several sensors in order to carry out a given estimation task (space-time processing  ...  One of us is also grateful to Prof. A.S. Willsky of MIT for his constant encouragement and never ending enthusiasm.  ... 
doi:10.1109/79.526899 fatcat:zjzfnicxfzbyjgxhnqdgou3fvu
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