A novel distorted Born iterative method (DBIM) algorithm is proposed for microwave breast
imaging based on the two-step iterative shrinkage/thresholding method. We show that this …

We propose a new image recovery method to improve the resolution in microwave imaging
applications. Scattered field data obtained from a simplified breast model with closely …

As the number of radar sensors on the road increases rapidly and many of these sensors
share the same frequency spectrum, mutual interference cannot be avoided. This paper …

This paper is concerned with designing efficient algorithms for recovering sparse signals
from noisy underdetermined measurements. More precisely, we consider minimization of a …

Automotive radar plays an important role in advanced driver assistant systems to support
level-2 automated driving functions. However, the mutual interference between automotive …

In this letter, we propose a new accurate approach for target localization in multiple-input
multiple-output (MIMO) radars, which exploits the sparse spatial distribution of targets to …

In this paper, a coherent multistatic radar network with a novel system architecture is
presented, which circumvents the general problems of clock distribution and phase noise …

Compressive sensing has attracted considerable attention in automotive radar interference
mitigation. However, these algorithms usually cannot be applied directly to commercial …

Conventional sampling techniques are based on Shannon-Nyquist theory which states that
the required sampling rate for perfect recovery of a band-limited signal is at least twice its …

The authors propose asynchronous level crossing (LC) A/D converters for low redundancy
voice sampling. They propose to utilise the family of iterative methods with adaptive …