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Vol. 174, Issue 7, July 2014, pp. 150-155




Improved Frequency-offset Estimation Research for MIMO Systems

1 Wang Min, 2 Xiao Bin

1 School of Electrical and Information Engineering Southwest Petroleum University Cheng Du, China
2 School of Computer Science Southwest Petroleum University Cheng Du, China
1 Tel.: 1328247716,

1 E-mail: wangmin80616@163.com


Received: 7 February 2014 /Accepted: 30 June 2014 /Published: 31 July 2014

Digital Sensors and Sensor Sysstems


Abstract: ML frequency-offset estimation is hardly be widely used in practical communication systems because of the computational complexity. There is loss of SNR by using low complexity frequency offset estimation based on correlation relative. A novel frequency-offset estimator based on best-weighted correlations is proposed in the paper. By using periodic training sequences the algorithm calculates the correlations of received signals and weights the results properly to estimate the frequency-offset. Theory and simulation show that the method with less complexity makes the mean square error estimator asymptotically optimal performance, and can effectively overcome the SNR loss.


Keywords: Multiple input multiple output, Frequency synchronization, Frequency-offset estimation.


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