Abstract
Compressed sensing (CS) is a promising technique to realize sub-Nyquist sampling ultra-wideband (UWB) receivers. In practice, the dynamically varying narrowband interference (NBI) may degrade the performance of UWB receivers badly. Thus, it is an important issue to detect and suppress the NBI precisely. In this paper, a CS-based NBI estimation algorithm is proposed and an improved generalized likelihood ratio test (GLRT) UWB receiver with NBI suppression is presented. Simulation results show that the proposed algorithm estimates the NBI accurately and the improved GLRT UWB receiver outperfoms its rivals in terms of bit error rate (BER).
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
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.