caa a22 4500 605469598 CHVBK 20210128100323.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s00500-014-1446-y doi (NATIONALLICENCE)springer-10.1007/s00500-014-1446-y Chang Jhih-Chung Department of Information Technology, Ling Tung University, 408, Taichung, Taiwan aut CFO estimation based on Taylor MVDR approach using particle swarm optimization for interleaved OFDMA uplink systems [Elektronische Daten] [Jhih-Chung Chang] The problem of carrier frequency offset (CFO) estimation based on the Taylor minimum variance distortionless response (MVDR) criterion in interleaved orthogonal frequency division multiple access uplink systems was investigated. However, in the presence of large CFOs, more iteration is required for the iterative search technique. Therefore, a new CFO vector, based on the Taylor series expansion of the vector initially given, is proposed. The problem of finding the new CFO vector is formulated as the closed form of a generalized eigenvalue problem, which is readily solved. A two-stage method for increasing the accuracy of the residual CFO estimation featuring a low computational load is presented in this paper. A proper initial CFO estimate is required for the Taylor MVDR estimator. First, an initial CFO estimate is determined using a particle swarm optimization estimator. The predominant CFO estimate is then sent to the Taylor MVDR estimator to form an estimate. The proposed estimator can estimate CFOs with a lower computational load. Several computer simulation results are provided to illustrate the effectiveness of the proposed estimation approach. Springer-Verlag Berlin Heidelberg, 2014 Carrier frequency offset nationallicence Minimum variance distortionless response nationallicence Orthogonal frequency division multiple access nationallicence Particle swarm optimization nationallicence Soft Computing Springer Berlin Heidelberg 19/10(2015-10-01), 2845-2859 1432-7643 19:10<2845 2015 19 500 https://doi.org/10.1007/s00500-014-1446-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00500-014-1446-y text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Chang Jhih-Chung Department of Information Technology, Ling Tung University, 408, Taichung, Taiwan aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/10(2015-10-01), 2845-2859 1432-7643 19:10<2845 2015 19 500