EMVS-MIMO radar with sparse Rx geometry: Tensor modeling and 2D direction finding

X Wang, Y Guo, F Wen, J He… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The electromagnetic vector sensor (EMVS) embedded multiple-input–multiple-output
(MIMO) radar, named EMVS-MIMO radar, offers a unique perspective on target localization …

Covariance recovery for one-bit sampled stationary signals with time-varying sampling thresholds

A Eamaz, F Yeganegi, M Soltanalian - Signal Processing, 2023 - Elsevier
One-bit quantization, which relies on comparing the signals of interest with given threshold
levels, has attracted considerable attention in signal processing for communications and …

Sparse logistic regression based one-bit sar imaging

S Ge, D Feng, S Song, J Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
One-bit synthetic aperture radar (SAR) imaging has garnered significant interest due to its
ability to lower the cost of storing enormous amounts of data during sampling and …

UNO: Unlimited sampling meets one-bit quantization

A Eamaz, KV Mishra, F Yeganegi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Recent results in one-bit sampling provide a framework for a relatively low-cost, low-power
sampling, at a high rate by employing time-varying sampling threshold sequences. Another …

On the performance of one-bit DoA estimation via sparse linear arrays

S Sedighi, M Soltanalian… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Direction of Arrival (DoA) estimation using Sparse Linear Arrays (SLAs) has recently gained
considerable attention in array processing thanks to their capability to provide enhanced …

One-bit phase retrieval: More samples means less complexity?

A Eamaz, F Yeganegi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The classical problem of phase retrieval has found a wide array of applications in optics,
imaging and signal processing. In this paper, we consider the phase retrieval problem in a …

Harnessing the power of sample abundance: Theoretical guarantees and algorithms for accelerated one-bit sensing

A Eamaz, F Yeganegi, D Needell… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
One-bit quantization with time-varying sampling thresholds (also known as random
dithering) has recently found significant utilization potential in statistical signal processing …

Modified arcsine law for one-bit sampled stationary signals with time-varying thresholds

A Eamaz, F Yeganegi… - ICASSP 2021-2021 IEEE …, 2021 - ieeexplore.ieee.org
One-bit quantization has attracted considerable attention in signal processing for
communications and sensing. The arcsine law is a useful relation often used to estimate the …

Covariance matrix recovery from one-bit data with non-zero quantization thresholds: Algorithm and performance analysis

YH Xiao, L Huang, D Ramírez, C Qian… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Covariance matrix recovery is a topic of great significance in the field of one-bit signal
processing and has numerous practical applications. Despite its importance, the …

An off-grid iterative reweighted approach to one-bit direction of arrival estimation

L Feng, L Huang, Q Li, ZQ He… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article addresses the problem of direction of arrival (DOA) estimation only relying on the
sign bits of the array signal. A new optimization model is formulated to realize the …