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论文类型：期刊论文

发表时间：2022-06-29

发表刊物：大连理工大学学报

所属单位：电子信息与电气工程学部

卷号：51

期号：6

页面范围：916-921

ISSN号：1000-8608

摘要：A soft-iterative channel estimation approach using superimposed training
   sequence was proposed. A periodic training sequence was added
   (superimposed) to user′s information sequence at the transmitter. In the
   channel estimation process the soft-iterative approach was adopted. By
   utilizing the soft output of channel decoder from receiver to calculate
   the one-order statistical quantity and return it to channel estimator,
   the channel estimation accuracy and the utility rate were improved due
   to eliminating the interference from the unknown data. Simulation
   results show the benefits of the proposed approach on the channel
   estimator, bit error rate (BER) performance and power efficiency.

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