Abstract: In order to meet future communication system requirements, channel estimation over fast fading and frequency selective channels is crucial.
The results show that multipath delay positions can be tracked successfully for every time instant using the proposed SAGE-MAP based approach.
Abstract—In order to meet future communication system requirements, channel estimation over fast fading and frequency selective channels is crucial.
The main motivation of the using Kalman filter for this problem is that sparse multipath channel coefficients are modeled as an AR process and Kalman filter ...
In order to meet future communication system requirements, channel estimation over fast fading and frequency selective channels is crucial.
Data-Aided Autoregressive Sparse Channel Tracking for OFDM Systems. A Büyükşar, H ŞENOL, S Erküçük, H Çırpan. 2016. The system can't perform the operation now.
In the paper, an iterative group sparse channel estimation and decoding algorithm is proposed for OFDM communication systems. The group basis pursuit de-noising ...
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In this thesis we will focus on parametric and data aided channel estimation problem for OFDM systems. Our subject mainly based on Autoregressive (AR) model ...
Oct 7, 2024 · Data-aided autoregressive sparse channel tracking for OFDM systems. ... Pilot-aided Bayesian MMSE channel estimation for OFDM systems ...
In this paper, we derive and analyze the performance of data aided channel tracking algorithms in both uplink and downlink of a massive MIMO system. B. Related ...