Sparse Bayesian learning approach for outlier-resistant direction-of-arrival estimation
Conventional direction-of-arrival (DOA) estimation methods are sensitive to outlier
measurements. Therefore, their performance may degrade substantially in the presence of …
measurements. Therefore, their performance may degrade substantially in the presence of …
-MUSIC: Robust Direction-of-Arrival Estimator for Impulsive Noise Environments
A family of algorithms, named ℓ p-MUSIC, for direction-of-arrival (DOA) estimation in
impulsive noise is proposed. The ℓ p-MUSIC estimator adopts the ℓ p-norm (1≤ p 2) of the …
impulsive noise is proposed. The ℓ p-MUSIC estimator adopts the ℓ p-norm (1≤ p 2) of the …
DOA estimation in impulsive noise via low-rank matrix approximation and weakly convex optimization
Conventional direction-of-arrival (DOA) estimators are vulnerable to impulsive noise. In this
paper, to tackle this issue, a class of weakly convex-inducing penalties is introduced for …
paper, to tackle this issue, a class of weakly convex-inducing penalties is introduced for …
Robustness of difference coarrays of sparse arrays to sensor failures—Part I: A theory motivated by coarray MUSIC
CL Liu, PP Vaidyanathan - IEEE Transactions on Signal …, 2019 - ieeexplore.ieee.org
In array processing, sparse arrays are capable of resolving O (N 2) uncorrelated sources
with N sensors. Sparse arrays have this property because they possess uniform linear array …
with N sensors. Sparse arrays have this property because they possess uniform linear array …
Probabilistic tensor canonical polyadic decomposition with orthogonal factors
Tensor canonical polyadic decomposition (CPD), which recovers the latent factor matrices
from multidimensional data, is an important tool in signal processing. In many applications …
from multidimensional data, is an important tool in signal processing. In many applications …
Subspace identification for DOA estimation in massive/full-dimension MIMO systems: Bad data mitigation and automatic source enumeration
In this paper, the direction-of-arrival (DOA) estimation problem for massive multiple-input
multiple-output (MIMO) systems with a two dimensional (2D) array (also known as full …
multiple-output (MIMO) systems with a two dimensional (2D) array (also known as full …
Emergency response person localization and vital sign estimation using a semi-autonomous robot mounted SFCW radar
The large number and scale of natural and man-made disasters have led to an urgent
demand for technologies that enhance the safety and efficiency of search and rescue teams …
demand for technologies that enhance the safety and efficiency of search and rescue teams …
Robust spectral analysis of multi-channel sinusoidal signals in impulsive noise environments
Z Zhou, L Huang, MG Christensen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Robust spectral analysis of the sinusoidal signals corrupted by impulsive noise poses a big
challenge in the signal processing community. In this paper, we address the issue of robust …
challenge in the signal processing community. In this paper, we address the issue of robust …
Maximum a Posteriori Based Fundamental Frequency and Order Estimation in Impulsive Noise
Z Zhou, B Liao - IEEE Transactions on Signal Processing, 2023 - ieeexplore.ieee.org
In this article, we present a maximum a posteriori (MAP) based framework to deal with the
challenging problem of joint fundamental frequency and order estimation for harmonic …
challenging problem of joint fundamental frequency and order estimation for harmonic …
Low-rank and row-sparse decomposition for joint DOA estimation and distorted sensor detection
Distorted sensors could occur randomly and may lead to the breakdown of a sensor array
system. In this article, we consider an array model within which a small number of sensors …
system. In this article, we consider an array model within which a small number of sensors …