Expectation-Maximization (EM) based channel estimation and interpolation in OFDM systems

Ustunel, Eser

doi:10.1109/iscc.2012.6249287

Cited by 1 publication

(1 citation statement)

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“…However, in practice, some useful information carried by the sampling data is usually well-hidden, namely the data that is closely related to the results but not observed intuitively, this causes in the likelihood function cannot be manipulated directly, which means ML detection cannot be explored [17]. The EM algorithm can effectively solve this type of problem with unobserved data by constructing a local lower-bound of the likelihood function with the expectation step (E step) and maximize it with the maximum step (M step) in an iterative manner, and as a result, it has been widely applied to the field of wireless communications [18][19][20]. Motivated by this and to further explore the BER performance of the MM-OFDM-IM system with unknown channel since the detectors currently designed for MM-OFDM-IM system are under perfect channel, in this paper, we propose an EM detector to estimate the parameters of MM-OFDM-IM signals under the unobserved data, namely channel impulse response (CIR), in two stages.…”

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confidence: 99%

A novel detector based on EM algorithm for multiple-mode OFDM with index modulation

Qing

Wen

et al. 2020

J Wireless Com Network

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Multiple-mode orthogonal frequency division multiplexing with index modulation (MM-OFDM-IM) is a promising multiple-carrier modulation technique, which activates all OFDM subcarriers to transmit multiple distinguishable modes (or signal constellations, alternatively) and carries additional information with the full permutation of the modes, enjoying superior error performance and high spectral efficiency. In this paper, we propose a novel detector tailored to MM-OFDM-IM based on the expectation maximization (EM) algorithm to further improve the detection performance. The idea is to first select the signal constellation points candidates for any given mode permutation by applying the EM algorithm and then determine the most-likely mode permutation as well as the associated signal constellation points by minimizing the Euclidean distance. The effectiveness of the EM detector has been verified in terms of bit error rate (BER) performance by Monte Carlo simulations.

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