Article

Exact error-rate analysis of diversity 16-QAM with channel estimation error.

IEEE Transactions on Communications 01/2004; 52:1019-1029.
Source: DBLP

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    • "The performance of MPSK with GSC in Nakagami fading channel was studied in [11]. The effects of noise and estimator decorrelation on the received BER of multilevel QAM were examined in [12]. "

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    • "In [12] the effect of channel estimation error on the performance of the Viterbi equalizer is studied in a SIMO framework. In [13] the bit-error rate (BER) performance of multilevel quadrature amplitude modulation with pilotsymbol-assisted modulation channel estimation in static and Rayleigh fading channels is derived, both for single branch reception and maximal ratio combining diversity receiver systems. However, in [14] it is shown that the(practical) ML channel estimator preserves the diversity order of MRC (Maximum Ratio Combining), see also [15] for a more thorough analysis. "
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    ABSTRACT: Traditionally, the performance of blind SIMO channel estimates has been characterized in a deterministic fashion, by identifying those channel realizations that are not blindly identifiable. In this paper, we focus instead on the performance of Zero-Forcing (ZF) Linear Equalizers (LEs) or Decision-Feedback Equalizers (DFEs) for fading channels when they are based on (semi-)blind channel estimates. Although it has been known that various (semi-)blind channel estimation techniques have a receiver counterpart that is matched in terms of symbol knowledge hypotheses, we show here that these (semi-)blind techniques and corresponding receivers also match in terms of diversity order: the channel becomes (semi-)blindly unidentifiable whenever its corresponding receiver structure goes in outage. In the case of mismatched receiver and (semi-blind) channel estimation technique, the lower diversity order dominates. Various cases of (semi-)blind channel estimation and corresponding receivers are considered in detail. To be complete however, the actual combination of receiver and (semi-)blind channel estimation lowers somewhat the diversity order w.r.t. the ideal picture.
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    • "There are many approaches to analyzing the BER of digital modulation schemes over fading channels [4], [24], [31]. "
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    ABSTRACT: In this paper, we study the effects of channel estimation error on the bit-error-rate (BER) of orthogonal frequency division multiplexing (OFDM) systems in frequency-selective slowly Rayleigh fading channels. Due to the additive white Gaussian noise (AWGN) and the intercarrier interference (ICI) caused by the residual carrier frequency offset (CFO), the channel estimation based on the training symbols is not perfect. We characterize the performance degradation resulting from imperfect channel state information (CSI) by deriving the BER formulas for BPSK, QPSK, 16-QAM, and 64-QAM modulation schemes. The derived BER formulas contain no numerical integrals and can be evaluated easily and accurately. Simulation results validate the correctness of our theoretical analysis.
    Preview · Article · Jul 2008 · Journal of Communications
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