95 citations · 207 across the 6 of their papers we have counts for
6 papers
Multichannel adaptive signal detection: Basic theory and literature review
Weijian Liu, Jun Liu, Chengpeng Hao +2
Multichannel adaptive signal detection jointly uses the test and training data to form an adaptive detector, and then make a decision on whether a target exists or not. Remarkably,…
Novel Parameter Estimation and Radar Detection Approaches for Multiple Point-like Targets: Designs and Comparisons
Pia Addabbo, Jun Liu, Danilo Orlando +1
In this work, we develop and compare two innovative strategies for parameter estimation and radar detection of multiple point-like targets. The first strategy, which appears here f…
Composite Signalling for DFRC: Dedicated Probing Signal or Not?
Li Chen, Fan Liu, Jun Liu +1
Dual-functional radar-communication (DFRC) is a promising new solution to simultaneously probe the radar target and transmit information in wireless networks. In this paper, we stu…
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…
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…
Multichannel signal detection in interference and noise when signal mismatch happens
Weijian Liu, Jun Liu, Yongchan Gao +2
In this paper, we consider the problem of detecting a multichannel signal in interference and noise when signal mismatch happens. We first propose two selective detectors, since th…