naa a22 4500 510797148 CHVBK 20180411083340.0 cr unu---uuuuu 180411e20131201xx s 000 0 eng 10.1007/s11277-013-1215-8 doi (NATIONALLICENCE)springer-10.1007/s11277-013-1215-8 Doubly-Selective Channel Estimation Using Superimposed Training and Weighted First-Order Statistics [Elektronische Daten] [Gaoqi Dou, Xianfeng Zhang, Chunquan He, Jun Gao] Doubly-selective channel estimation using superimposed training and complex exponential basis expansion model is considered. By taking a weighted averaging operation of the received data, a weighted first-order statistical estimator is proposed, where the time-varying channel estimation is reduced to the simple average-based solution of time-invariant coefficients and the dominant effect of information-induced interference on channel estimation can be suppressed. To further improve the estimation performance with a limited training power, a joint iterative channel estimation and symbol detection scheme is developed where the detected symbol is exploited to enhance estimation performance instead of being viewed as interference. Theoretical analysis and simulation results show that the proposed scheme is superior to data-dependent superimposed training scheme and competitive with the conventional time-multiplexed training in terms of symbol error rate over doubly-selective channels. Springer Science+Business Media New York, 2013 Channel estimation nationallicence Basis expansion model nationallicence First-order statistics nationallicence Doubly selective channel nationallicence Superimposed training nationallicence Dou Gaoqi College of Electronic Engineering, Naval University of Engineering, Wuhan, China aut Zhang Xianfeng College of Electronic Engineering, Naval University of Engineering, Wuhan, China aut He Chunquan College of Electronic Engineering, Naval University of Engineering, Wuhan, China aut Gao Jun College of Electronic Engineering, Naval University of Engineering, Wuhan, China aut Wireless Personal Communications Springer US; http://www.springer-ny.com 73/3(2013-12-01), 767-778 0929-6212 73:3<767 2013 73 11277 https://doi.org/10.1007/s11277-013-1215-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-013-1215-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Dou Gaoqi College of Electronic Engineering, Naval University of Engineering, Wuhan, China aut NATIONALLICENCE 700 1- Zhang Xianfeng College of Electronic Engineering, Naval University of Engineering, Wuhan, China aut NATIONALLICENCE 700 1- He Chunquan College of Electronic Engineering, Naval University of Engineering, Wuhan, China aut NATIONALLICENCE 700 1- Gao Jun College of Electronic Engineering, Naval University of Engineering, Wuhan, China aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 73/3(2013-12-01), 767-778 0929-6212 73:3<767 2013 73 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer