基于压缩感知理论的频偏估计算法-journalofnortheasternuniversity.pdf

第33 卷第7期 东 北 大 学 学 报 ( 自 然 科 学 版 ) Vol33,No.7 2012 年 7 月 Journal of Northeastern niversity( Natural Science) Jul. 2 0 12 杜瑞燕, 汪晋宽, 刘福来 ( , 110819) : OFDMA , , , ; ,OFDMA CVX ; , : ;; ;; : TG 335.58 : A : 1005-3026( 2012) 07-0938-04 Carrier Frequency Offset Estimation Algorithm Based on Compressive Sensing Theory D U Rui-yan , WA N G Jin-kuan, LI U Fu-lai ( School of Information Science Engineering, Northeastern niversity, Shenyang 110819, China. Corresponding author: WANG Jin-kuan, E-mail: wjk @ ) Abstract: T he carrier frequency offset ( CFO) estimation problem was investigated for interleaved orthogonal frequency-division multiple-access ( OFDMA) uplink systems. A CFO estimation algorithm was proposed on the compressive sensing theory. First, a CFO estimation model was given by using the sparse property of the CFO distribution. According to compressive sensing theory, the CFO estimation problem was transformed into convex optimization problem and the optimum sparse vector was obtained via CVX. T he CFOs of all users could be effectively estimated by exploiting the location of non-zero elements in the sparse vector. T he presented method could avoid the eigenvalue decomposition in the subspace methods, and would be more practical. Simulation results were presented to verify the efficiency of the proposed approach. Key ords: OFDMA( orthogonal frequency-division multiple-access) ; carrier frequency offset; uplink system; compressive sensing; sparse representation OFDMA [4- 7] ,