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[HTML][HTML] Current development and future prospects of multi-target assignment problem: A bibliometric analysis review
S Liu, Z Lin, W Huang, B Yan - Defence Technology, 2024 - Elsevier
The multi-target assignment (MTA) problem, a crucial challenge in command control,
mission planning, and a fundamental research focus in military operations, has garnered …
mission planning, and a fundamental research focus in military operations, has garnered …
Model-aided deep neural network for source number detection
Source number detection is a critical problem in array signal processing. Conventional
model-driven methods eg, Akaikes information criterion and minimum description length …
model-driven methods eg, Akaikes information criterion and minimum description length …
DOA estimation in impulsive noise via low-rank matrix approximation and weakly convex optimization
Conventional direction-of-arrival (DOA) estimators are vulnerable to impulsive noise. In this
paper, to tackle this issue, a class of weakly convex-inducing penalties is introduced for …
paper, to tackle this issue, a class of weakly convex-inducing penalties is introduced for …
Autonomous vehicle source enumeration exploiting non-cooperative UAV in software defined internet of vehicles
The traffic congestion and accidents can be relieved by deploying the software defined
internet of vehicles (SDN-IoV). However, the traffic of pedestrians and vehicles is particularly …
internet of vehicles (SDN-IoV). However, the traffic of pedestrians and vehicles is particularly …
Enhanced PUMA for direction-of-arrival estimation and its performance analysis
Direction-of-arrival (DOA) estimation is a problem of significance in many applications. In
practice, due to the occurrence of coherent signals and/or when the number of available …
practice, due to the occurrence of coherent signals and/or when the number of available …
Detection of number of components in CANDECOMP/PARAFAC models via minimum description length
Detecting the number of components of the CANDECOMP/PARAFAC (CP) model, also
known as CP model order selection, is an essential task in signal processing and data …
known as CP model order selection, is an essential task in signal processing and data …
Source Enumeration Utilizing Adaptive Diagonal Loading and Linear Shrinkage Coefficients
Source enumeration is typically studied under the assumption of white noise, which may not
be suitable for real-world applications. In this article, a source enumeration algorithm robust …
be suitable for real-world applications. In this article, a source enumeration algorithm robust …
MUSIC with capped Frobenius norm: Efficient robust direction-of-arrival estimator
Direction-of-arrival (DOA) estimation is a frequent need in the field of array signal
processing. While many conventional algorithms achieve excellent performance in …
processing. While many conventional algorithms achieve excellent performance in …
Enumeration for a large number of sources based on a two-step difference operation of linear shrinkage coefficients
A novel and computationally efficient source enumeration algorithm is proposed for large-
scale arrays with a small number of samples, by employing a two-step difference operation …
scale arrays with a small number of samples, by employing a two-step difference operation …
Three-dimensional near-field passive localization considering propagation attenuation based on trilinear decomposition
In this article, a cumulant-based temporal–spatial localization algorithm for near-field (NF)
sources is presented, which considers NF sources' propagation attenuation, to estimate 3-D …
sources is presented, which considers NF sources' propagation attenuation, to estimate 3-D …