98 citations · 177 across the 9 of their papers we have counts for
9 papers
RIS-aided Radar Detection Architectures with Application to Low-RCS Targets
Fabiola Colone, Filippo Costa, Yiding Gao +4
In this paper, we address the radar detection of low observable targets with the assistance of a reconfigurable intelligent surface (RIS). Instead of using a multistatic radar netw…
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…
Joint ML-Bayesian Approach to Adaptive Radar Detection in the presence of Gaussian Interference
Chaoran Yin, Tianqi Wang, Linjie Yan +3
This paper addresses the adaptive radar target detection problem in the presence of Gaussian interference with unknown statistical properties. To this end, the problem is first for…
EM-based Algorithm for Unsupervised Clustering of Measurements from a Radar Sensor Network
Linjie Yan, Pia Addabbo, Nicomino Fiscante +4
This paper deals with the problem of clustering data returned by a radar sensor network that monitors a region where multiple moving targets are present. The network is formed by n…
Classification Schemes for the Radar Reference Window: Design and Comparisons
Chaoran Yin, Linjie Yan, Chengpeng Hao +4
In this paper, we address the problem of classifying data within the radar reference window in terms of statistical properties. Specifically, we partition these data into statistic…
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…
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 Sparse Learning Approach to the Detection of Multiple Noise-Like Jammers
Linjie Yan, Pia Addabbo, Yuxuan Zhang +4
In this paper, we address the problem of detecting multiple Noise-Like Jammers (NLJs) through a radar system equipped with an array of sensors. To this end, we develop an elegant a…
New ECCM Techniques Against Noise-like and/or Coherent Interferers
Linjie Yan, Pia Addabbo, Chengpeng Hao +2
Multiple-stage adaptive architectures are conceived to face with the problem of target detection buried in noise, clutter, and intentional interference. First, a scenario where the…