Cargando…
The Time-of-Arrival Offset Estimation in Neural Network Atomic Denoising in Wireless Location
With the increasing demand for wireless location services, it is of great interest to reduce the deployment cost of positioning systems. For this reason, indoor positioning based on WiFi has attracted great attention. Compared with the received signal strength indicator (RSSI), channel state informa...
Autores principales: | Hu, Yunbing, Peng, Ao, Tang, Biyu, Ou, Guojian, Lu, Xianzhi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317736/ https://www.ncbi.nlm.nih.gov/pubmed/35891044 http://dx.doi.org/10.3390/s22145364 |
Ejemplares similares
-
Sparse Method for Direction of Arrival Estimation Using Denoised Fourth-Order Cumulants Vector
por: Fan, Yangyu, et al.
Publicado: (2018) -
Artificial Neural Network for Location Estimation in Wireless Communication Systems
por: Chen, Chien-Sheng
Publicado: (2012) -
A secondary EWMA-based dictionary learning algorithm for polynomial phase signal denoising
por: Ou, Guojian, et al.
Publicado: (2022) -
Joint frequency offset, time offset, and channel estimation for OFDM/OQAM systems
por: Baghaki, Ali, et al.
Publicado: (2018) -
IEEE 802.15.4 ZigBee-Based Time-of-Arrival Estimation for Wireless Sensor Networks
por: Cheon, Jeonghyeon, et al.
Publicado: (2016)