[PDF] Efficient OFDM Channel Estimation via an Information Criterion | Semantic Scholar (2024)

The proposed receiver constructs typical receiver models and resorts to the model selection technique to choose the best-matched receiver model to improve the channel estimation and signal detection and achieves a significant performance gain compared to the existing methods.

A new intelligent and different method has been presented for channel estimation using learning Automata, entitled LA estimator, where the learning automata are search agents, and each pair is responsible for searching 1 complex coefficient of the channel frequency response.

Numerical results demonstrate that the proposed STE scheme with TF of adaptively optimized length can work properly, even in the presence of cochannel interference.

This paper proposes to use RRT for MOS in linear regression models and provides rigorous mathematical analysis of RRT and analytically establishes an interesting interpretation for RRT based on ITC thereby linking these two model selection principles.

GGWO, a hybrid method that includes grey wolf optimization (GWO) and genetic algorithms (GA) for estimate the channel in MIMO–OFCDM schemes, demonstrates that the proposed scheme is superior to conventional MMSE and LS in terms of BER and SNR.

Numerical results show that the proposed PUEA detection method performs well although the difference in channel characteristics between the PU and PUE is small, and a modified subspace-based blind channel estimation method is presented to estimate the CIR.

A novel algorithm for pilot-aided channel estimation in frequency domain is given by the approximate estimation of PM based on LS, which has much lower implementation complexity compared with some well-known algorithms and achieves a good performance on channel estimation even when COS gets the maximum SE.

An empirical mode decomposition (EMD) based adaptive filter for channel estimation in OFDM system uses decimated version of one of the decomposed IMFs of received OFDM symbol as initial weight vector, which makes the proposed EMD based AF method converge to minimum mean square error (MMSE) in less number of iterations resulting in almost 50% saving of computations.

To reduce the false alarms effectively, the proposed Chi-square distribution-based CM channel estimation method in cyclic prefix OFDM (CP-OFDM) system is proposed and performance comparison is shown to verify the effectiveness.

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A decision directed channel estimation method, consisting of two main steps, that aims to obtain robustness against the introduction of incorrect data symbols in the channel estimation process for Orthogonal Frequency Division Multiplexing (OFDM) systems.

IP Network Design presents the principles of good IP network design and is focused on planning corporate networks from the routing point of view, and suggests a threelayer network topology, consisting of core, distribution, and access layers, and presents the design goals for each layer.

This work shows how to cope with performance requirements, low latency and complexity, firstly reducing the problem to a series of easier single input-single output problems, and finally exploiting the correlation between adjacent tones to refine the previously obtained estimations.

The analysis and the simulation results show that the mean square error (MSE) and bit error rate (BER) performance of the proposed method is much better than the conventional correlation estimation (CCE) method both in the case with 16 QAM and QPSK modulation schemes under the same conditions.

A novel estimation algorithm based on maximum-likelihood principles and the generalized Akaike information criterion are proposed for orthogonal frequency-division multiplexing access technique.

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