Please use this identifier to cite or link to this item:
|Title:||Performance study of diversity combining algorithms in FFH/BFSK systems||Authors:||Yang, Ruiqi||Keywords:||Engineering::Electrical and electronic engineering::Wireless communication systems||Issue Date:||2021||Publisher:||Nanyang Technological University||Source:||Yang, R. (2021). Performance study of diversity combining algorithms in FFH/BFSK systems. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/154516||Abstract:||As a kind of spread spectrum technology, fast frequency hopping (FFH) system has good anti-jamming and anti-fading ability and has become the hot spot of frequency hopping communication research. The diversity combining technology is an indispensable key technical problem in FFH systems. This dissertation mainly studies the diversity combining technology of Fast Frequency Hopping/Binary Frequency Shift Keying (FFH/BFSK) system, focusing on the performance analysis and simulation of diversity combining algorithms in different communication environments. Firstly, this dissertation introduces the models of AWGN and Rayleigh fading channel, as well as the influence of PBNJ (Partial Band Noise Jamming) and MTJ (Multitone Jamming) on the channel. And this dissertation introduces some commonly used diversity combining algorithms and analyzes their pros and cons. Then the performance of these algorithms with different diversity order values and comparison over different channel environments are studied. The performance of Noise-Normalised (NNORM) combining algorithm over Rayleigh channel with PBNJ and MTJ is studied in depth in this dissertation. The theoretical bit error rate expression and MATLAB simulation results are given. And the factors that affect the performance of the NNORM combining method are discussed. The performance of the NNORM combining receiver is compared with other receivers.||URI:||https://hdl.handle.net/10356/154516||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Theses|
Files in This Item:
|Performance Study of Diversity Combining Algorithms in FFH:BFSK Systems.pdf|
|1.21 MB||Adobe PDF||View/Open|
Updated on Jan 20, 2022
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.