activity
20192022
most citedAdaptive Radar Detection and Classification Algorithms for Multiple Coherent Signals

49 citations · 73 across the 4 of their papers we have counts for

collaborators
Showing eess.SPShow all

5 papers · 1 filter

eess.SP202212 cited

Clutter Edges Detection Algorithms for Structured Clutter Covariance Matrices

Tianqi Wang, Da Xu, Chengpeng Hao +2

This letter deals with the problem of clutter edge detection and localization in training data. To this end, the problem is formulated as a binary hypothesis test assuming that the…

eess.SP2021

Adaptive Detection of Dim Maneuvering Targets in Adjacent Range Cells

Sheng Yan, Pia Addabbo, Chengpeng Hao +1

This letter addresses the detection problem of dim maneuvering targets in the presence of range cell migration. Specifically, it is assumed that the moving target can appear in mor…

eess.SP202049 cited

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…

eess.SP20201 cited

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…

eess.SP2019

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…