49 citations · 68 across the 7 of their papers we have counts for
8 papers
Adaptive Radar Detection in joint Range and Azimuth based on the Hierarchical Latent Variable Model
Linjie Yan, Chengpeng Hao, Sudan Han +3
This paper focuses on the design of a robust decision scheme capable of operating in target-rich scenarios with unknown signal signatures (including their range positions, angles o…
Complex Electromagnetic Space Combat System-of-systems Modeling and Key Node Identification Method
Xiao Liu, Sudan Han, Jinlin Peng
With the application of advanced science and technology in the military field, modern warfare has developed into a confrontation between systems. The combat system-of-systems (CSoS…
Innovative Cognitive Approaches for Joint Radar Clutter Classification and Multiple Target Detection in Heterogeneous Environments
Linjie Yan, Sudan Han, Chengpeng Hao +2
The joint adaptive detection of multiple point-like targets in scenarios characterized by different clutter types is still an open problem in the radar community. In this paper, we…
EM-based Solutions for Covariance Structure Detection and Classification in Polarimetric SAR Images
Pia Addabbo, Filippo Biondi, Carmine Clemente +3
This paper addresses the challenge of classifying polarimetric SAR images by leveraging the peculiar characteristics of the polarimetric covariance matrix (PCM). To this end, a gen…
Adaptive Radar Detection and Classification Algorithms for Multiple Coherent Signals
Sudan Han, Linjie Yan, Yuxuan Zhang +3
In this paper, we address the problem of target detection in the presence of coherent (or fully correlated) signals, which can be due to multipath propagation effects or electronic…
A Unifying Framework for Adaptive Radar Detection in the Presence of Multiple Alternative Hypotheses
Pia Addabbo, Sudan Han, Fillippo Biondi +2
In this paper, we develop a new elegant framework relying on the Kullback-Leibler Information Criterion to address the design of one-stage adaptive detection architectures for mult…
A Sparse Learning Approach to the Design of Radar Tunable Architectures with Enhanced Selectivity Properties
Sudan Han, Luca Pallotta, Xiaotao Huang +2
This paper considers the design of tunable decision schemes capable of rejecting with high probability mismatched signals embedded in Gaussian interference with unknown covariance…
Learning Strategies for Radar Clutter Classification
Pia Addabbo, Sudan Han, Danilo Orlando +1
In this paper, we address the problem of classifying clutter returns in order to partition them into statistically homogeneous subsets. The classification procedure relies on a mod…