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Indexed by:期刊论文

Date of Publication:2022-06-29

Journal:大连理工大学学报

Affiliation of Author(s):电子信息与电气工程学部

Volume:51

Issue:6

Page Number:916-921

ISSN No.:1000-8608

Abstract: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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