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In both cases, maximum likelihood channel estimation was considered.
In [25], a maximum likelihood channel tracking algorithm has been proposed.
This article has addressed the problem of maximum likelihood channel estimation for OFDM systems in the presence of unknown interference.
The combination of MAP decoding and maximum likelihood channel estimation can be justified using the EM principle.
Therefore, each dominating BG is replaced by the PROSPECT CG with the largest Φ-value so the maximum likelihood channel estimation of [23] can be readily applied.
In [15], the complex maximum likelihood channel estimation is presented for narrowband channels, where the channel gains for the both users are estimated at the relay, and, then, the power allocation algorithm is applied to allocate the power to different channel components so that the detection or CE at the user terminals is optimized.
Similar(54)
joint maximum-likelihood channel and frequency estimation.
In addition, a generalized maximum-likelihood channel estimation scheme is presented.
A joint communication and positioning system based on maximum-likelihood channel parameter estimation is proposed.
In this paper, a joint communication and positioning system based on maximum-likelihood channel parameter estimation is suggested [4].
To overcome the local extrema difficulty, a viable approach is to use mathematical approximation as done in the expectation-maximization (EM -based algorithm of[12, 24, 25] and thEM -basedalgorithmkelihof[12hannel and frequency estimation (JML-CFE) algorithm of[124.
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