2008 IEEE Wireless Communications and Networking Conference 2008
DOI: 10.1109/wcnc.2008.84
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Joint Frequency-Domain Equalization and Channel Estimation Using Superimposed Pilots

Abstract: SC modulations (Single-Carrier) with FDE (Frequency-Domain Equalization) are promising candidates for future broadband wireless systems. These modulations allow excellent performances in severely time-dispersive channels, provided that accurate channel estimates are available at the receiver. For this purpose, pilot symbols and/or training sequences are usually multiplexed with data symbols. Since this leads to overhead and some spectral degradation, the use of superimposed pilots (i.e., pilots added to data) … Show more

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Cited by 24 publications
(26 citation statements)
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“…From (6), it is clear that the ISR method compensates for the loss data tones in an iterative manner to improve the accuracy of the data estimates. However, the incorrect or imperfect compensation for the loss data tones will have a negative effect on the data estimates and may incur the problem of error propagation, which will be clarified in the simulations.…”
Section: System Modelmentioning
confidence: 99%
“…From (6), it is clear that the ISR method compensates for the loss data tones in an iterative manner to improve the accuracy of the data estimates. However, the incorrect or imperfect compensation for the loss data tones will have a negative effect on the data estimates and may incur the problem of error propagation, which will be clarified in the simulations.…”
Section: System Modelmentioning
confidence: 99%
“…In addition, the method in [15][16][17] is mainly for systems with a training block [15,17] or with superimposed pilots [15] in the frame. Therefore, it is not obvious how to directly apply the concept in [15][16][17] to a pilot-assisted OFDM system, such as the WiMAX system. For this problem, we have a clear explanation (see also Section 4).…”
Section: Related Workmentioning
confidence: 99%
“…From (15) to (17), it is clear that we are unable to obtain the correct impulse response because of non-uniform sampling. If uniform sampling was used, the term e −j(2π/7M )(3m − 3.5n) in (14) would be ±1, and thus correct result could be obtained.…”
Section: Dft-based Channel Interpolationmentioning
confidence: 99%
“…For a reader interested in a pure SI training with iterative reception, a good starting point is, for example, [23]. In this article a computationally efficient, iterative frequency-domain equalization and channel estimation is presented.…”
Section: Iterative Receiver Algorithmsmentioning
confidence: 99%
“…Nonetheless, when there is symbol level limiter involved, we could feedback the cyclic mean of the limiter error estimate in order to improve the channel estimates with LDDST. In addition, in SISO case or in spatially multiplexed MIMO case, the feedback filtering used also in [23], is of great interest and provides interesting topics for future research.…”
Section: Iterative Receiver Algorithmsmentioning
confidence: 99%