Abstract
In this technical survey, we introduce the state-of-the-art signal-to-noise rate (SNR) estimation techniques for direct sequence ultra-wide bandwidth (DS-UWB) system. The SNR estimation is important to improve the system performance in a multiuser wireless sensor network (WSN). We demonstrate the effectiveness of using regression analysis of features extracted from code mapping to derive a new SNR estimator. And compared the result with another estimator derived by long short-time memory (LSTM) recurrent neural networks (RNN) in terms of their root-mean-squared error. Numerical result show that with a proper length of sequence the proposed method can reach an excellent performance when operating in a DS-UWB system.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: DEStech Transactions on Computer Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
