Domain-Adaptive Direction of Arrival (DOA) Estimation in Complex Indoor Environments Based on Convolutional Autoencoder and Transfer Learning

Direction of arrival (DOA) estimation for signal sources in indoor environments has become increasingly important in wireless communications and smart home applications. However, complex indoor conditions, such as multipath effects and noise interference, pose significant challenges to estimation ac...

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Vydáno v:	Sensors (Basel, Switzerland) Ročník 25; číslo 10; s. 2959
Hlavní autoři:	Shen, Lingyu, Li, Jianfeng, Pan, Jingjing, Shi, Junpeng, Xu, Rui, Wang, Hao, Deng, Weiming
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 08.05.2025 MDPI
Témata:	Adaptation Algorithms Datasets Deep Learning Design DOA domain adaptation indoor scenes Location-based systems Machine learning Methods Mobile communication systems Neural networks Signal processing Support vector machines Wireless communication systems China domain adaptation Deep Learning indoor scenes DOA
ISSN:	1424-8220, 1424-8220
On-line přístup:	Získat plný text
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