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检索条件"主题词=Sensor array processing"
74 条 记 录,以下是1-10 订阅
排序:
A STOCHASTIC GEOMETRIC APPROACH TO sensor array processing
A STOCHASTIC GEOMETRIC APPROACH TO SENSOR ARRAY PROCESSING
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IEEE Workshop on Statistical Signal processing (SSP)
作者: Vo, Ba Ngu Vo, Ba Tuong Curtin Univ Dept Elect & Comp Engn Perth WA Australia
A new unified mathematical framework for sensor array processing is proposed. The proposed framework combines Bayesian estimation with stochastic geometry to accommodate prior information, uncertainty in array paramet... 详细信息
来源: 评论
Self-Calibration of Acoustic Scalar and Vector sensor arrays
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IEEE TRANSACTIONS ON SIGNAL processing 2023年 71卷 61-75页
作者: Ramamohan, Krishnaprasad Nambur Chepuri, Sundeep Prabhakar Comesana, Daniel Fernandez Leus, Geert Microflown NL-6824 BV Arnhem Netherlands Indian Inst Sci Dept Elect Commun Engn Bengaluru 560012 Karnataka India Delft Univ Technol Fac EEMCS NL-2628 CD Delft Netherlands
In this work, we consider the self-calibration problem of joint calibration and direction-of-arrival (DOA) estimation using acoustic sensor arrays. Unlike many previous iterative approaches, we propose solvers that ca... 详细信息
来源: 评论
Effect of Approximate Planar Wavefront on Far-Field Direction Finding
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IEEE COMMUNICATIONS LETTERS 2022年 第3期26卷 657-661页
作者: He, Jin Shu, Ting Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai Key Lab Intelligent Sensing & Recognit Shanghai 200240 Peoples R China
Existing sensor array direction-finding algorithms in the open literature simplify the far-field source wavefront as exactly planar in order to facilitate the algorithmic development. In fact, since the wavefront of a... 详细信息
来源: 评论
Asymptotically Optimal Blind Calibration of Uniform Linear sensor arrays for Narrowband Gaussian Signals
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IEEE TRANSACTIONS ON SIGNAL processing 2020年 68卷 5322-5333页
作者: Weiss, Amir Yeredor, Arie Weizmann Inst Sci Fac Math & Comp Sci Dept Comp Sci & Appl Math IL-7610001 Rehovot Israel Tel Aviv Univ Fac Engn Sch Elect Engn IL-69978 Tel Aviv Israel
An asymptotically optimal blind calibration scheme of uniform linear arrays for narrowband Gaussian signals is proposed. Rather than taking the direct Maximum Likelihood (ML) approach for joint estimation of all the u... 详细信息
来源: 评论
Structured autocorrelation matrix estimation for coprime arrays
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SIGNAL processing 2021年 183卷 107987-107987页
作者: Chachlakis, Dimitris G. Markopoulos, Panos P. Rochester Inst Technol Dept Elect & Microelect Engn Rochester NY 14623 USA
A coprime array receiver processes a collection of received-signal snapshots to estimate the autocorrelation matrix of a larger (virtual) uniform linear array, known as coarray. By the received-signal model, this matr... 详细信息
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Adaptive filtering algorithm for direction-of-arrival (DOA) estimation with small snapshots
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DIGITAL SIGNAL processing 2019年 94卷 84-95页
作者: Liu, Beiyi Gui, Guan Matsushita, Shin-ya Xu, Li Akita Prefectural Univ Dept Intelligent Mechatron Akita 0150055 Japan Nanjing Univ Posts & Telecommun Coll Telecommun & Informat Engn Nanjing 210003 Jiangsu Peoples R China
The direction-of-arrival (DOA) estimation problem with a few noisy snapshots can be formulated as a problem of finding a joint sparse representation of multiple measurement vectors (MMV), and some algorithms based on ... 详细信息
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Blind Gain and Phase Calibration via Sparse Spectral Methods
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IEEE TRANSACTIONS ON INFORMATION THEORY 2019年 第5期65卷 3097-3123页
作者: Li, Yanjun Lee, Kiryung Bresler, Yoram Univ Illinois Urbana IL 61801 USA Ohio State Univ Dept Elect & Comp Engn Columbus OH 43210 USA Univ Illinois Coordinated Sci Lab Urbana IL 61801 USA Univ Illinois Dept Elect & Comp Engn Urbana IL 61801 USA
Blind gain and phase calibration (BGPC) is a bilinear inverse problem involving the determination of unknown gains and phases of the sensing system, and the unknown signal, jointly. BGPC arises in numerous application... 详细信息
来源: 评论
Blind Calibration of sensor arrays for Narrowband Signals with Asymptotically Optimal Weighting  27
Blind Calibration of Sensor Arrays for Narrowband Signals wi...
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27th European Signal processing Conference (EUSIPCO)
作者: Weiss, Amir Yeredor, Arie Tel Aviv Univ Sch Elect Engn Tel Aviv Israel
We revisit the problem of blind calibration of uniform linear sensors arrays for narrowband signals and set the premises for the derivation of the optimal blind calibration scheme. In particular, instead of taking the... 详细信息
来源: 评论
Anti-jamming DOA Estimation Based on Compressive Sensing via Blocking Matrix  23
Anti-jamming DOA Estimation Based on Compressive Sensing via...
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23rd IEEE International Conference on Digital Signal processing (DSP)
作者: Liu, Beiyi Gui, Guan Matsushita, Shin-ya Xu, Li Akita Prefectural Univ Dept Elect & Informat Syst Akita 0150055 Japan Nanjing Univ Posts & Telecommun Coll Telecommun & Informat Engn Nanjing 210003 Jiangsu Peoples R China
Disturbed by strong jamming, the compressive sensing (CS) based direction-of-arrival (DOA) estimation methods in colocated multiple-input-multiple-output (MIMO) radars are distorted easily. In this paper, a CS based a... 详细信息
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Identifiability in Bilinear Inverse Problems With Applications to Subspace or Sparsity-Constrained Blind Gain and Phase Calibration
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IEEE TRANSACTIONS ON INFORMATION THEORY 2017年 第2期63卷 822-842页
作者: Li, Yanjun Lee, Kiryung Bresler, Yoram Univ Illinois Dept Elect & Comp Engn Coordinated Sci Lab Champaign IL 61801 USA Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA
Bilinear inverse problems (BIPs), the resolution of two vectors given their image under a bilinear mapping, arise in many applications. Without further constraints, BIPs are usually ill-posed. In practice, the propert... 详细信息
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