This paper proposes a sensor-less temperature and humidity measurement technique. Objective of the proposed work is to design an observer to estimate the temperature and humidity from transmitted signal. Transmitted signal through the cable is analyzed for computing the effect of temperature and humidity. For analysis an observer is designed to estimate the temperature and humidity from the derived output of transmission lines and model of transmission lines. In the proposed work a neural network based non parametric model is designed. Once the model is designed it is subjected to test in both simulation and real life. Results show successful implementation of proposed work.
|Title of host publication
|Proceedings of IEEE International Conference on Signal Processing and Communication, ICSPC 2017
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 01-03-2018
|2017 IEEE International Conference on Signal Processing and Communication, ICSPC 2017 - Coimbatore, India
Duration: 28-07-2017 → 29-07-2017
|2017 IEEE International Conference on Signal Processing and Communication, ICSPC 2017
|28-07-17 → 29-07-17
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Signal Processing