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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, Full Text: PDF>>
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. | |||||
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