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Generalized Minimum Noise Subspace For Array Processing
2017
IEEE Transactions on Signal Processing
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Based on the minimum noise subspace (MNS) method previously introduced in the context of blind channel identification, generalized minimum noise subspace (GMNS) is proposed in this paper for array processing ...
Different batch and adaptive algorithms are then introduced for fast and parallel computation of signal (principal) and noise (minor) subspaces. ...
MINIMUM NOISE SUBSPACE: A REVIEW Let us consider a general linear system with p inputs and n outputs (p < n), which obeys the following model for the input-output relationship: x(t) = As(t) + n(t), (1) ...
doi:10.1109/tsp.2017.2695457
fatcat:q32ks5h6zjfhzpro6ijrztdoye
Direction of Arrival Estimation using Conventional Subspace Algorithms
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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The self adaption and spatial spectrum are the broad research area in array processing. ...
To maintain accuracy in DOA estimation for the antenna array the basic knowledge is required for main beam, and side lobes pattern must be small to suppress signal from other direction. ...
matrix is used to generate a signal and noise subspace by using eigen structure of it. ...
doi:10.35940/ijitee.h7503.078919
fatcat:6rszqmqwe5ftzlntiqdmi2yane
Low-Complexity MDL Method for Accurate Source Enumeration
2007
IEEE Signal Processing Letters
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Index Terms-Array signal processing, direction of arrival (DOA), eigenvalue decomposition (EVD), minimum description length (MDL), multistage Wiener filter (MSWF), Wiener filter. ...
The noise components are then used to calculate the total description length required to encode the array data. The model with the minimum description length (MDL) is chosen as the best model. ...
By projecting the array data onto the signal and noise subspaces, one may obtain the signal and noise components. ...
doi:10.1109/lsp.2006.885286
fatcat:qmpwpsa2fze35fdbpjeqgubepy
On the relationship between minimum norm and linear prediction for spatial spectrum estimation
2005
Signal Processing
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The derivation consists of replacing the correlation with its noise subspace component and setting all noise eigenvalues to unity. ...
The minimum norm method for spatial spectrum estimation is derived from the linear prediction method in exactly the same way as the MUSIC method is derived from the minimum variance method. ...
The method was generalized to an arbitrary array geometry in [3] . ...
doi:10.1016/j.sigpro.2004.10.010
fatcat:g3gdwe2kvfbbbgwumrpjjkljwi
Adaptive Beamforming Algorithm for Interference Suppression in GNSS Receivers
2011
International Journal of Computer Science & Information Technology (IJCSIT)
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Antenna arrays with space-time adaptive processing (STAP) have been widely used in Global Navigation Satellite System (GNSS) to suppress interference in spatial domain as well as temporal domain, its performance ...
Firstly, the interferences are cancelled by using subspace orthogonal projection. Then the maximum C/N 0 constraint algorithm is employed to enhance the post-correlation signal. ...
The received signal multiplied with weights in the stage of adaptive processing, and then enters baseband module for further processing. ...
doi:10.5121/ijcsit.2011.3502
fatcat:tqzb42kapvbotjfv4ns4rpyv3e
Rational invariant subspace approximations with applications
2000
IEEE Transactions on Signal Processing
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In this paper, new fast algorithms for approximating signal and noise subspaces and that do not require exact eigendecomposition are presented. ...
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). ...
if the noise process is an MA process, e.g., white noise. ...
doi:10.1109/78.875461
fatcat:rkeokyfghfaaxlymptm6u563kq
A Rank Based High Resolution Bearing Estimation Method in Passive Arrays
2011
Modern Applied Science
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The peaks of the function give us the best candidate for location of the main targets. An array of three sensors with two independent targets is simulated to demonstrate the qualification. ...
A rank based bearing estimation method of a passive array is proposed in this paper. ...
Computing the M+1 signals of the array we have the following data model (5) Now as general model, we arrange the equation to consider P emitters for an array of M+ 1 sensor. ...
doi:10.5539/mas.v5n1p169
fatcat:f6op4uzd6nhg3p4dbgewkbau5i
A subspace-tracking approach to interference nulling for phased array-based radio telescopes
2002
IEEE Transactions on Antennas and Propagation
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Several next-generation radio telescopes, now in the planning stages, are based on phased-array technology. ...
., "minimum variance"), namely power inversion and pattern rumble, which create serious problems for radio astronomy. ...
Cazemier of Astron for his helpful suggestions. ...
doi:10.1109/8.992558
fatcat:cwr3zljkrfgatnzvb4ychyviti
Array Signal Processing in Wireless Sensor Networks
2014
International Journal of Sensor Networks and Data Communications
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In general, location estimates are derived from two types of measurements: angle and range. ...
in Integrated Circuits (IC) and Micro Electro Mechanical Systems (MEMS) technologies have allowed the design and construction of low-cost low-power smart sensor nodes with sensing, computing, signal processing ...
Once the noise subspace has been estimated, a search for AOA estimates is made by looking for steering vectors that are as orthogonal to the noise subspace as possible. ...
doi:10.4172/2090-4886.1000e102
fatcat:ftde3wqgbrc2teovtwtdohngdi
Minimum Array Elements for Resolution of Several Direction of Arrival Estimation Methods in Various Noise-Level Environments
2018
Journal of Telecommunications and Information Technology
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In this paper, authors present and discuss the minimum number of array elements needed for the resolution of nearby sources in several DOA estimation methods. ...
In the real world, the informative signals are corrupted by Additive White Gaussian Noise (AWGN). Thus, a higher signal-to-noise ratio (SNR) offers a better resolution. ...
of the two subspaces: the signal subspace and the noise subspace. ...
doi:10.26636/jtit.2018.119417
fatcat:n74ldi2o2vchfgtezhxwxtxoze
Reduced-Rank MDL Method for Source Enumeration in High-Resolution Array Processing
2007
IEEE Transactions on Signal Processing
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noise subspace. ...
Index Terms-Direction-of-arrival (DOA), eigenvalue decomposition (EVD), high resolution, minimum description length (MDL), multistage Wiener filter (MSWF), reduced rank, sensor array signal processing, ...
Leyman, for careful review, insightful comments, and valuable suggestions. ...
doi:10.1109/tsp.2007.899344
fatcat:rxhacd3hhvcqxhcmzkpy3hu3jm
High Resolution Methods Based On Rank Revealing Triangular Factorizations
2007
Zenodo
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In this paper, we propose a novel method for subspace estimation used high resolution method without eigendecomposition where the sample Cross-Spectral Matrix (CSM) is replaced by upper triangular matrix ...
Simulation results demonstrates that the new algorithm outperform the Householder rank-revealing QR (RRQR) factorization method and the MUSIC in the low Signal to Noise Ratio (SNR) scenarios. ...
PROBLEM FORMULATION Consider an array of N sensors receiving the wavefield generated by P N P narrow-band sources in the presence of an additive noise. ...
doi:10.5281/zenodo.1060562
fatcat:4xt4tcwey5gltdniigf4sgkisi
ON ADAPTIVE BEAMFORMING FOR COHERENT INTERFERENCE SUPPRESSION VIA VIRTUAL ANTENNA ARRAY
2012
Electromagnetic Waves
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Using the subspace projection concept, this paper establishes an interference subspace spanned by the interference steering vectors of the virtual antenna array, and then the interference direction information ...
Employing the Minimum Variance Distortionless Response (MVDR) beam forming method, the interference inhibition gain and Signal to Interference and Noise Ratio (SINR) performance can be significantly improved ...
Namely, the interference and noise produce the minimum output power. ...
doi:10.2528/pier12010802
fatcat:ljp2anu5rje3jfefembuphz6vu
Enhanced Minimum Variance Beamforming
[chapter]
1989
Underwater Acoustic Data Processing
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INTRODUCTION The minimum variance distortionless response (MVDR) criterion for achieving maximum wavefront signal-to-noise ratio (SNR) gain with a spatial sensor array beamformer is well established. ...
The process of estimating the CSOM matrix of Eq. (2) involves a decision as to the dimension P of the source subspace. ...
doi:10.1007/978-94-009-2289-1_31
fatcat:n7y2j77infbzrgz62ggp4muqym
Coherent Target Direction-of-Arrival Estimation for Coprime Arrays: From Spatial Smoothing Perspective
2021
Wireless Communications and Mobile Computing
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For the rank deficit problem caused by the coherent signal, the FBSS algorithm is used for signal preprocessing before the MUSIC algorithm. ...
Theoretical analysis and simulation results show that the algorithm can effectively solve the rank deficiency and phase ambiguity problems caused by coherent signals and sparse arrays in the coprime arrays ...
Usually, the minimum optimization search process is used to find the minimum value to realize the direction-ofarrival estimation. ...
doi:10.1155/2021/9983615
fatcat:k45qiyygwnbqdlo5n4k7ci7aha
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