基于循环正交序列和广义AIC的信道估计

doi:10.3969/j.issn.1001-2400.2010.03.009

Abstract

Abstract:

Circularly orthogonal training sequences are designed for multiple-input multiple-output single carrier frequency domain equalization (MIMO-SCFDE) systems, which can be used in time-domain channel estimation. By using the perfect auto-correlation and cross-correlation properties of the training sequences, the proposed algorithm not only suppresses the interference between the antennas but also reduces the variance of the additive white Gaussian noise. Then the time delay of each subpath can be determined by using the generalized Akaike information criterion (GAIC), which helps to further improve the accuracy of the channel estimaton. Simulation results in sparse MIMO channels show that the GAIC based channel estimation algorithm using circularly orthogonal sequences can decrease the effect of noise on the channel estimation and reduce the mean square error greatly.

Key words: channel estimation, circularly orthogonal sequences, generalized Akaike information criterion, MIMO, SCFDE

LI Dan-ping;ZHANG Hai-lin. Generalized AIC based channel estimation using circularly orthogonal sequences[J].J4, 2010, 37(3): 436-440+486.

References

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Generalized AIC based channel estimation using circularly orthogonal sequences

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