Channel Estimation and Symbol Detection with ICI Cancellation Based on Superimposed Training for OFDM Systems

Qinjuan ZHANG  Muqing WU  Qilin GUO  Rui ZHANG  Chao Yi ZHANG  

Publication
IEICE TRANSACTIONS on Communications   Vol.E95-B   No.9   pp.2926-2930
Publication Date: 2012/09/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E95.B.2926
Print ISSN: 0916-8516
Type of Manuscript: LETTER
Category: Fundamental Theories for Communications
Keyword: 
OFDM,  doubly selective channel,  DDST,  ICI,  

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Summary: 
Channel estimation using data-dependent superimposed training (DDST) is developed to doubly selective channels of Orthogonal Frequency Division Multiplexing (OFDM) systems; it consumes no extra bandwidth. An Inter-carrier interference (ICI) Self-cancelation method based on DDST scheme, IS-DDST, is designed which mitigates the interference from adjacent subcarriers to estimation. Moreover, a dual-iteration detection method is proposed to mitigate the ICI for IS-DDST scheme. Theoretical analysis and simulations show that the proposed scheme can achieve better Mean Square Error (MSE) and Bit Error Ratio (BER) performance than the existing DDST based scheme.