Iterative sparse channel estimation and demodulation for blind equalisation. Issue 21 (1st October 2017)

• Record Type: Journal Article
• Authors: Kim, Geumbee; Lee, Jeongwon; Nam, Haewoon; Park, Daeyoung
• Is Part Of: Electronics letters. Volume 53:Issue 21(2017)
• Page Start: 1435
• Page End: 1437
• Publication Date: 2017-10-01
• Subjects: channel estimation -- iterative methods -- demodulation -- blind equalisers -- transient response -- wireless channels; iterative sparse channel estimation -- demodulation -- blind equalisation problem -- residual minimization -- received signal -- predicted signal -- channel impulse responses -- transmitted symbols -- dictionary learning problem -- demodulated symbols -- wireless channels -- sparse multipath structure -- compressive sensing technique -- channel estimation subproblem -- Genie‐aided lower‐bound performance; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2017.2917
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : The authors formulate a blind equalisation problem minimising the residual that is difference between the received signal and the predicted signal. Since both channel impulse responses and transmitted symbols are unknown, the authors regard the problem as a kind of dictionary learning problem. The authors divide the problem into two sub‐problems and iteratively find the channel impulse response and the demodulated symbols. Since the wireless channels with a large bandwidth tend to have a sparse multipath structure, the authors apply the compressive sensing technique to the channel estimation sub‐problem. Numerical results show that the proposed algorithm achieves the Genie‐aided lower‐bound performance.