Sparse Bayesian Learning for DOA Estimation with Mutual Coupling

اسناد مشابه

• Sparse Bayesian Learning Aided Estimation of Doubly-Selective MIMO Channels for Filter Bank Multicarrier Systems

  مقاله‌ی دسترسی آزاد۲۰۲۲IEEE Transactions on Communications['Prem Singh', 'Suraj Srivastava', 'Amrita Mishra', 'Aditya K. Jagannatham', 'Lajos Hanzo', '']

  Sparse Bayesian learning (SBL)-based channel state information (CSI) estimation schemes are developed for filter bank multicarrier (FBMC) systems using offset quadrature amplitude modulation (OQAM). Initially, an SBL-based scheme is designed a frequency-selective quasi-static sin

• Sparse Bayesian Learning for DOA Estimation with Mutual Coupling

  سند علمی۲۰۱۵SensorsJisheng Dai, Nan Hu, Weichao Xu, Chunqi Chang

  Sparse Bayesian learning (SBL) has given renewed interest to the problem of direction-of-arrival (DOA) estimation. It is generally assumed that the measurement matrix in SBL is precisely known. Unfortunately, this assumption may be invalid in practice due to the imperfect manifol

• Underdetermined Wideband DOA Estimation for Off-Grid Sources with Coprime Array Using Sparse Bayesian Learning

  سند علمی۲۰۱۸SensorsYanhua Qin, Yumin Liu, Jianyi Liu, Zhongyuan Yu

  Sparse Bayesian learning (SBL) is applied to the coprime array for underdetermined wideband direction of arrival (DOA) estimation. Using the augmented covariance matrix, the coprime array can achieve a higher number of degrees of freedom (DOFs) to resolve more sources than the nu

• Multi Snapshot Sparse Bayesian Learning for DOA Estimation

  سند علمی۲۰۱۶CoRRPeter Gerstoft, Christoph F. Mecklenbräuker, Angeliki Xenaki

  March 1, 2016 The directions of arrival (DOA) of plane waves are estimated from multi-snapshot sensor array data using Sparse Bayesian Learning (SBL). The prior source amplitudes is assumed independent zero-mean complex Gaussian distributed with hyperparameters the unknown varian

• Wideband DOA Estimation via Sparse Bayesian Learning over a Khatri-Rao Dictionary

  سند علمی۲۰۱۵YUJIAN PAN, NING TAI, Yujian PAN, Ning TAI

  This paper deals with the wideband directionof-arrival (DOA) estimation by exploiting the multiple measurement vectors (MMV) based sparse Bayesian learning (SBL) framework. First, the array covariance matrices at different frequency bins are focused to the reference frequency by

• DOA and Range Estimation for FDA-MIMO Radar with Sparse Bayesian Learning

  مقاله‌ی دسترسی آزاد۲۰۲۱Remote Sensing['Qi Liu', 'Xianpeng Wang', 'Mengxing Huang', 'Xiang Lan', 'Lu Sun', '']

  Due to grid division, the existing target localization algorithms based on sparse signal recovery for frequency diverse array multiple-input multiple-output (FDA-MIMO) radar not only suffer from high computational complexity but also encounter significant estimation performance d