Open AccessCyclostationarity‐based joint sensing and equalisation of fast convolution‐based DWPT block‐filtered orthogonal frequency division multiplexing for fifth‐generation wireless systems
Author(s) -
Datta Jayanta,
Lin HsinPiao
Publication year - 2018
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2018.5455
Subject(s) - joint (building) , convolution (computer science) , block (permutation group theory) , orthogonal frequency division multiplexing , computer science , wireless , division (mathematics) , multiplexing , mathematics , algorithm , electronic engineering , telecommunications , channel (broadcasting) , arithmetic , artificial intelligence , engineering , architectural engineering , geometry , artificial neural network
Traditional cyclic prefix‐orthogonal frequency division multiplexing is a popular multicarrier modulation (MCM) scheme, which provides advantages of good bandwidth utilisation and simplicity in transceiver design. However, the waveform suffers from poor spectral utilisation due to the utilisation of rectangular window and lack of flexibility. Hence, an alternative MCM scheme based on wavelet filter‐bank architecture is considered in this study for fifth‐generation wireless access systems. Cyclostationarity‐based joint sensing and channel equalisation is applied at the receiver side, which demonstrates improved signal detection performance. Adaptive line enhancement adaptive line enhancement (ALE)‐based noise cancellation is explored to improve the sensing performance. The combined noise cancellation and sensing scheme improve the cyclostationarity‐based equalisation and demodulation performance.