Neural-Network-Based False Alarm Controllable Detector for Weak Targets via a Differentiable NP Loss
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2025.3572501
Abstract: Weak target detection has been a vital challenge due to the low signal-to-noise ratio. Traditional detectors based on statistical characteristics may suffer from the difficulty of precise model estimation. On the other hand, existing neural… read more here.
Keywords: loss; weak targets; detector; neural network ... See more keywords
Source localization based on matrix filter and sparse asymptotic minimum variance
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the Acoustical Society of America"
DOI: 10.1121/1.5068678
Abstract: Wideband direction of arrival (DOA) estimation plays an important role in passive sonar signal processing. Recently, sparsity-based DOA estimation method has attracted considerable attention because of its high resolution in the condition of few snapshots… read more here.
Keywords: asymptotic minimum; weak targets; sparse asymptotic; minimum variance ... See more keywords
Correlation Filtering Algorithm of Infrared Spectral Data for Dim Target Tracking
Sign Up to like & getrecommendations! Published in 2023 at "Advances in Mathematical Physics"
DOI: 10.1155/2023/1240426
Abstract: The correlation filtering algorithm of infrared spectral data for dim and small target tracking is studied to improve the tracking accuracy of small and weak targets and to track small and weak targets in real… read more here.
Keywords: algorithm infrared; weak targets; filtering algorithm; small weak ... See more keywords