Sparse methods for direction-of-arrival estimation
Abstract Direction-of-arrival (DOA) estimation refers to the process of retrieving the direction
information of several electromagnetic waves/sources from the outputs of a number of …
information of several electromagnetic waves/sources from the outputs of a number of …
Enhancing sparsity and resolution via reweighted atomic norm minimization
The mathematical theory of super-resolution developed recently by Candès and Fernandes-
Granda states that a continuous, sparse frequency spectrum can be recovered with infinite …
Granda states that a continuous, sparse frequency spectrum can be recovered with infinite …
Fast inverse-scattering reconstruction for airborne high-squint radar imagery based on Doppler centroid compensation
Y Zhang, J Luo, J Li, D Mao, Y Zhang… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
Cross-resolution enhancement for airborne high-squint radar (AHSR) imagery is
mathematically equivalent to the ill-conditioned problem of inverse-scattering reconstruction …
mathematically equivalent to the ill-conditioned problem of inverse-scattering reconstruction …
Weighted SPICE algorithms for range-Doppler imaging using one-bit automotive radar
We consider the problem of range-Doppler imaging using one-bit automotive LFMCW 1 or
PMCW radar that utilizes one-bit ADC sampling with time-varying thresholds at the receiver …
PMCW radar that utilizes one-bit ADC sampling with time-varying thresholds at the receiver …
A Compact Formulation for the Mixed-Norm Minimization Problem
Parameter estimation from multiple measurement vectors (MMVs) is a fundamental problem
in many signal processing applications, eg, spectral analysis and direction-of-arrival …
in many signal processing applications, eg, spectral analysis and direction-of-arrival …
An adaptive radar signal processor for UAVs detection with super-resolution capabilities
This paper is focused on the detection and resolution of Unmanned Aerial Vehicles (UAVs)
via a multi-channel phased-array radar with emphasis on the challenging situation where …
via a multi-channel phased-array radar with emphasis on the challenging situation where …
An efficient off-grid DOA estimation approach for nested array signal processing by using sparse Bayesian learning strategies
J Yang, G Liao, J Li - Signal Processing, 2016 - Elsevier
In this paper, we address the problem of sparsity-inducing direction-of-arrival (DOA)
estimation in the context of array covariance vectors when a recently proposed nested array …
estimation in the context of array covariance vectors when a recently proposed nested array …
Mixed-ADC based PMCW MIMO radar angle-doppler imaging
Phase-modulated continuous-wave (PMCW) multiple-input multiple-output (MIMO) radar
systems are known to possess excellent mutual interference mitigation capabilities, but …
systems are known to possess excellent mutual interference mitigation capabilities, but …
Sparse Bayesian DOA estimation using hierarchical synthesis lasso priors for off-grid signals
J Yang, Y Yang - IEEE Transactions on Signal Processing, 2020 - ieeexplore.ieee.org
Within the conventional sparse Bayesian learning (SBL) framework, only Gaussian scale
mixtures have been adopted to model sparsity-inducing priors that guarantee the exact …
mixtures have been adopted to model sparsity-inducing priors that guarantee the exact …
A novel time-frequency model, analysis and parameter estimation approach: Towards multiple close and crossed chirp modes
Y Wang, W Yang, D Li, JQ Zhang - Signal Processing, 2022 - Elsevier
In this paper, a novel model for online time-frequency representation and analysis with
multiple close and crossed chirp modes is proposed. It is shown that, when a signal is …
multiple close and crossed chirp modes is proposed. It is shown that, when a signal is …