Huiping Huang

Huiping Huang
Technische Universität Darmstadt | TU · Department of Electrical Engineering and Information Technology (Dept.18)

Master of Science

About

21
Publications
2,812
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
117
Citations
Introduction
Currently, I am a Ph.D. candidate of the Signal Processing Group at Darmstadt University of Technology, Germany. My research interests lie in statistical and array signal processing, including direction-of-arrival estimation, source localization, robust adaptive beamforming, sparse array design, compressed sensing, and optimization theory, with applications to radar, sonar, navigation, wireless communications, and so on. More information: http://huipinghuang.work

Publications

Publications (21)
Preprint
In this letter, we analyze the convergence properties of the consensus-alternating direction method of multipliers (ADMM) for solving general quadratically constrained quadratic programs. We prove that the consensus-ADMM converges under a mild condition, namely, the augmented Lagrangian parameter is chosen to be sufficiently large. It is shown that...
Article
The problem of off-grid direction-of-arrival (DOA) estimation is investigated. We develop a grid-based method to jointly estimate the closest spatial frequency (the sine of DOA) grids, and the gaps between the estimated grids and the corresponding frequencies. By using a second-order Taylor approximation, the data model under the framework of joint...
Preprint
Full-text available
The problem of off-grid direction-of-arrival (DOA) estimation is investigated in this paper. We develop a grid-based method to jointly estimate the closest spatial frequency (the sine of DOA) grids, and the gaps between the estimated grids and the corresponding frequencies. By using a second-order Taylor approximation, the data model under the fram...
Conference Paper
Full-text available
Many works have been done in direction-of-arrival (DOA) estimation in the presence of sensor gain and phase uncertainties in the past decades. Most of the existing approaches require either auxiliary sources with exactly known DOAs or perfectly partly calibrated arrays. In this work, we consider sparsely contaminated arrays in which only a few sens...
Conference Paper
Full-text available
This paper introduces a compressive sensing approach for single-snapshot adaptive beamforming. The observation data model is considered as source components in additive white noise, and then a compressive sensing formulation is introduced to estimate the parameters of the interference signals. That is, a LASSO regression problem is proposed and sol...
Conference Paper
Full-text available
The problem of row-sparse signal reconstruction for complex-valued data with outliers is investigated in this paper. First, we formulate the problem by taking advantage of a sparse weight matrix, which is used to down-weight the outliers. The formulated problem belongs to LASSO-type problems, and such problems can be efficiently solved via cyclic c...
Conference Paper
This paper investigates the problem of direction-of-arrival (DOA) estimation in the presence of unknown sensor gain and phase uncertainties. A novel method based on a block sparse representation is proposed to estimate the directions of sources. The data model is constructed under the framework of block sparse signal representation. Then, a convex...
Article
In this paper, the problem of direction-of-arrival (DOA) estimation with a new nested array is addressed. It is known that the original two-level nested array is composed of two uniform linear arrays (ULAs), and there exist some redundant elements in their difference co-array. In order to reduce the redundancy, a new array configuration which consi...
Article
Full-text available
Coprime arrays and coprime time samplers have been receiving attractive attention recently due to their advantages of large apertures and achievable degrees of freedom (DoFs) with low cost. In this paper, different from traditional airborne radar with uniform transmitting pulses, the considered radar is configured with a coprime array in receiver a...
Article
This paper investigates the problem of direction-of-arrival (DOA) estimation of rectilinear or strictly second-order noncircular signals with a partly calibrated uniform linear array (ULA). Consider that the uncalibrated portion of the array suffers from unknown gains and phases, an extended data model corresponding to a virtual (extended) array is...
Article
In this paper, a new linear array configuration based on the concept of two-level nested array is proposed. Specifically, the proposed array configuration consists of two uniform linear arrays (ULAs) plus a separate sensor with appropriate spacing apart. Compared with the original two-level nested array, the degrees of freedom (DOF) of our proposed...
Conference Paper
In this paper, the problem of adaptive beamformingin the presence of direction-of-arrival (DOA) mismatch is investi-gated. To develop a robust beamformer against such an imperfec-tion, a new approach is devised by formulating an output signal-to-interference-plus-noise ratio (SINR) maximization problem. Inparticular, the proposed robust beamforming...
Article
Multiple-input multiple-output (MIMO) radar has received much attention due to its potentials in offering improved performance for target detection and parameter estimation. It has been shown that the performance of direction finding techniques can be considerably enhanced in MIMO radar since an extended virtual array can be employed. In general, t...
Conference Paper
In this paper, the approach of robust Capon beamforming (RCB) in the presence of steering vector mismatch is studied. A new method to enhance the robustness is presented. More specifically, it is proposed herein to remove the component of the desired signal from the array covariance matrix by estimating the corresponding steering vector and signal...

Network

Cited By

Projects

Projects (2)
Project
The goal of this project is to introduce and expand existing robust techniques in array signal processing, and develop new ones.
Project
The aim of the project is to explore the opportunities provided by sparse arrays and develop novel structures for sparse array design and the associated signal processing methods and algorithms.