- -

Support Vector Regression for Mobile Target Localization in Indoor Environments

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

  • Estadisticas de Uso

Support Vector Regression for Mobile Target Localization in Indoor Environments

Show full item record

Jondhale, SR.; Mohan, V.; Sharma, BB.; Lloret, J.; Athawale, SV. (2022). Support Vector Regression for Mobile Target Localization in Indoor Environments. Sensors. 22(1). https://doi.org/10.3390/s22010358

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/201813

Files in this item

Item Metadata

Title: Support Vector Regression for Mobile Target Localization in Indoor Environments
Author: Jondhale, Satish R. Mohan, Vijay Sharma, Bharat Bhushan Lloret, Jaime Athawale, Shashikant V.
UPV Unit: Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia
Issued date:
Abstract:
[EN] Trilateration-based target localization using received signal strength (RSS) in a wireless sensor network (WSN) generally yields inaccurate location estimates due to high fluctuations in RSS measurements in indoor ...[+]
Subjects: Trilateration , Received signal strength (RSS) , Wireless sensor network (WSN) , Localization and tracking (L&T) , Support vector regression (SVR) , Kalman filter (KF) , Generalized regression neural network (GRNN)
Copyrigths: Reconocimiento (by)
Source:
Sensors. (eissn: 1424-8220 )
DOI: 10.3390/s22010358
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/s22010358
Type: Artículo

recommendations

 

This item appears in the following Collection(s)

Show full item record