Yen-Chang Pan

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The estimation of carrier frequency offset (CFO) is an important topic in broadband communication systems. It is known that the accuracy of CFO estimation will be affected by the existence of the in-phase and quadrature-phase (I/Q) imbalance. This paper proposes a novel algorithm for CFO estimation in the presence of I/Q imbalance. The estimation problem is(More)
Recently, a blind subspace channel estimation algorithm in which using only a few received OFDM blocks is proposed. Based on this earlier work, we introduce a novel subspace-based blind carrier frequency offset (CFO) estimation method for OFDM systems. The CFO is obtained by solving the nullspace of the proposed rank-reduced matrix and the CFO estimate is(More)
The estimation of carrier frequency offset (CFO) is an important issue in the study of OFDM systems. In the past, many CFO estimation methods have been proposed. In particular, the ESPRIT-based blind CFO estimation method is attractive because of its bandwidth efficiency. It can yield accurate estimates and it works for non constant modulus modulation(More)
Recently, several subspace-based algorithms for blind channel identification in zero-padded orthogonal frequency division multiplexing (ZP-OFDM) systems were introduced. These subspace-based methods are attractive because highly accurate estimate of the channel can be obtained by using only a few received blocks. However, these subspace-based methods do not(More)
An iterative source-channel decoding scheme which exploits the source residual redundancies on symbol-basis is proposed. We first derive a modified BCJR algorithm based on the sectionalized code trellis for symbol decoding of the convolutional codes. This is used in conjunction with a softbit source decoder that computes the interpolative a posteriori(More)
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