output
20142025
most citedNew ECCM Techniques Against Noise-like and/or Coherent Interferers

98 citations

5 papers

eess.SP2025★ 1 cited

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…

eess.SP2023★ 9 cited

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…

eess.SP2020★ 57 cited

Radar Adaptive Detection Architectures for Heterogeneous Environments

Jun Liu, Davide Massaro, Danilo Orlando +1

In this paper, four adaptive radar architectures for target detection in heterogeneous Gaussian environments are devised. The first architecture relies on a cyclic optimization exp…

eess.SP2019★ 98 cited

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…

math-ph2014★ 12 cited

Numerical proof of existence of fractional powers of Wiener processes

Marco Frasca, Alfonso Farina

Using the Euler--Maruyama technique, we show that a class of Wiener processes exist that are obtained by computing an arbitrary positive power of them. This can be accomplished wit…