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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
IEICE TRANSACTIONS on Communications
Publication Date: 2012/09/01
Online ISSN: 1745-1345
Print ISSN: 0916-8516
Type of Manuscript: LETTER
Category: Fundamental Theories for Communications
OFDM, doubly selective channel, DDST, ICI,
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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.