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- W2115873129 abstract "The intercarrier interference (ICI) matrix for the orthogonal frequency division multiplexing (OFDM) systems usually has a fairly large dimension and changes over time for mobile communications. Obviously, the traditional least-square solution for the ICI matrix estimation based on the pseudo-inverse operation has its limitation. In addition, the provision of a sufficiently long training sequence to estimate the complete ICI matrix is not feasible, since it will result in severe throughput reduction. In this paper, we design padded maximum-length shift-register sequences (pm-sequences) to serve as the training sequences for the ICI estimation. Such new training sequences will induce the diagonal correlation matrices which can lead to the optimal estimation. We propose a new distributive allocation scheme of short pm-sequences for the ICI estimation with a linear ICI estimate interpolation, which can lead to the multi-ICI-vector estimation to combat the realistic non-circulant ICI matrix problem, where almost all other existing schemes such as the ICI matrix estimation using the Hadamard sequences, the convolutional coder/decoder and the ICI self-cancellation coder/decoder could not perform effectively" @default.
- W2115873129 created "2016-06-24" @default.
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- W2115873129 date "2006-01-01" @default.
- W2115873129 modified "2023-09-26" @default.
- W2115873129 title "New robust ICI estimation using distributive PM-sequences in OFDM systems" @default.
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- W2115873129 doi "https://doi.org/10.1109/wcnc.2006.1696515" @default.
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