Multichannel adaptive signal detection: Basic theory and literature review
W Liu, J Liu, C Hao, Y Gao, YL Wang - Science China Information …, 2022 - Springer
Multichannel adaptive signal detection uses test and training data jointly to form an adaptive
detector to determine whether a target exists. The resulting adaptive detectors typically …
detector to determine whether a target exists. The resulting adaptive detectors typically …
Detector design and performance analysis for target detection in subspace interference
W Liu, J Liu, T Liu, H Chen… - IEEE Signal Processing …, 2023 - ieeexplore.ieee.org
It is often difficult to obtain sufficient training data for adaptive signal detection, which is
required to calculate the unknown noise covariance matrix. Additionally, interference is …
required to calculate the unknown noise covariance matrix. Additionally, interference is …
Adaptive radar detection in the presence of multiple alternative hypotheses using Kullback-Leibler information criterion-part i: Detector designs
In this paper, we develop a new elegant systematic framework relying on the Kullback-
Leibler Information Criterion to approach the design of one-stage adaptive detection …
Leibler Information Criterion to approach the design of one-stage adaptive detection …
[BOOK][B] Coherence: In Signal Processing and Machine Learning
This book organizes principles and methods of signal processing and machine learning into
the framework of coherence. The book contains a wealth of classical and modern methods …
the framework of coherence. The book contains a wealth of classical and modern methods …
Radar adaptive detection architectures for heterogeneous environments
In this paper, four adaptive radar architectures for target detection in heterogeneous
Gaussian environments are devised. The first architecture relies on a cyclic optimization …
Gaussian environments are devised. The first architecture relies on a cyclic optimization …
Multichannel signal detection based on Wald test in subspace interference and Gaussian noise
W Liu, J Liu, H Li, Q Du, YL Wang - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper investigates the problem of detecting a multichannel signal embedded in
subspace interference and Gaussian noise. The interference lies in a known subspace but …
subspace interference and Gaussian noise. The interference lies in a known subspace but …
Radar detection of distributed targets in homogeneous interference whose inverse covariance structure is defined via unitary invariant functions
In this paper we deal with the problem of detecting an extended target embedded in
homogeneous Gaussian interference with unknown but structured covariance matrix. We …
homogeneous Gaussian interference with unknown but structured covariance matrix. We …
Adaptive radar detection of a subspace signal embedded in subspace structured plus Gaussian interference via invariance
A De Maio, D Orlando - IEEE Transactions on Signal …, 2015 - ieeexplore.ieee.org
This paper deals with adaptive radar detection of a subspace signal competing with two
sources of interference. The former is Gaussian with unknown covariance matrix and …
sources of interference. The former is Gaussian with unknown covariance matrix and …
Knowledge-based adaptive detection: Joint exploitation of clutter and system symmetry properties
C Hao, D Orlando, G Foglia… - IEEE Signal Processing …, 2016 - ieeexplore.ieee.org
We address adaptive radar detection of targets embedded in clutter characterized by a
symmetrically structublack power spectral density (PSD) and persymmetric covariance …
symmetrically structublack power spectral density (PSD) and persymmetric covariance …
Rao tests for distributed target detection in interference and noise
This paper deals with the problem of detecting a distributed target in interference and noise.
The target signal and interference are assumed to lie in two linearly independent …
The target signal and interference are assumed to lie in two linearly independent …