Channel equalisation and data detection for SEFDM over frequency selective fading channels

Baoxian Yu; Han Zhang; Xudong Hong; Changjian Guo; Alan Pak Tao Lau; Chao Lu; Xianhua Dai

Channel equalisation and data detection for SEFDM over frequency selective fading channels

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Author(s): Baoxian Yu^{1, 2} ; Han Zhang³ ; Xudong Hong¹ ; Changjian Guo^{2, 4} ; Alan Pak Tao Lau⁵ ; Chao Lu² ; Xianhua Dai¹
- Affiliations: 1: School of Electronics and Information Technology , Sun Yat-sen University , Guangzhou , People's Republic of China ;
  2: Department of Electronic and Information Engineering , The Hong Kong Polytechnic University , Hung Hom, Hong Kong , People's Republic of China ;
  3: School of Physics and Telecommunication Engineering , South China Normal University , Guangzhou , People's Republic of China ;
  4: South China Academy of Advanced Optoelectronics , South China Normal University , Guangzhou , People's Republic of China ;
  5: Department of Electrical Engineering , The Hong Kong Polytechnic University , Hung Hom, Hong Kong , People's Republic of China
Source: Volume 12, Issue 18, 20 November 2018, p. 2315 – 2323
DOI: 10.1049/iet-com.2018.5114 , Print ISSN 1751-8628, Online ISSN 1751-8636

Received 18/03/2018, Accepted 11/07/2018, Revised 14/06/2018, Published 13/08/2018

Spectrally efficient frequency division multiplexing (SEFDM) has been recognised as a promising multi-carrier technology since it can offer a higher spectral efficiency than orthogonal frequency division multiplexing (OFDM). In this study, the authors provide a framework for SEFDM transceiver design and investigate the techniques of channel equalisation and data detection of SEFDM over frequency selective fading scenarios. Specifically, they first demonstrate through mathematical analysis that SEFDM with the proposed frequency-domain equalisation scheme can benefit from the frequency diversity, and thus, performs more robust to the frequency selective fading environment than OFDM. To effectively mitigate inter-carrier interference raised by the non-orthogonality between sub-carriers of SEFDM, they then propose a low-computational data detection scheme based on the Viterbi principle and maximum a posteriori criterion. The proposed detector can provide an indistinguishable performance from the maximum likelihood detection using sphere decoding while entailing a much lower computation. Numerical results validate the superiority of SEFDM to OFDM over frequency selective fading channels.

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