Fighting Earth's degradation and safeguarding the environment are subjects of topical
interest and sources of hot debate in today's society. According to the United Nations, there …

In this paper, a framework that combines an M-estimation and information-theoretic-learning
(ITL)-based Kalman filter under impulsive noises is presented. The ITL-based methods …

Recently, the matrix information geometry (MIG) detectors have been speedily developed
and demonstrated satisfactory performance in numerous applications. However, the MIG …

Due to their shorter operating range and large bandwidth, automotive radars can resolve
many reflections from their targets of interest, mainly vehicles. This calls for the use of …

Recently, affine projection algorithm has been extensively studied in the Gaussian noise
environment. However, the performance of affine projection algorithm will deteriorate rapidly …

The paper addresses the design of adaptive radar detectors with desired behavior, in
Gaussian disturbance with unknown statistics. Specifically, based on detection probability …

The problem of data-driven joint design of transmitted waveform and detector in a radar
system is addressed in this article. We propose two novel learning-based approaches to …

This work addresses the problem of range–Doppler multiple target detection in a radar
system in the presence of slow-time correlated and heavy-tailed distributed clutter …

Target detection played a vital role in radar image interpretation. The early studies usually
relied on the model-driven strategy, such as the constant false alarm rate technique. This …

Detecting objects of interest is one of the core functions of radar systems and doing so in the
presence of interference is an ongoing challenge in the domain. Clutter is an especially …