首页|Research from National Taipei University of Technology Has Provided New Study Fi ndings on Machine Learning (Machine Learning-Based Channel Estimation Techniques for ATSC 3.0)
Research from National Taipei University of Technology Has Provided New Study Fi ndings on Machine Learning (Machine Learning-Based Channel Estimation Techniques for ATSC 3.0)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting from Taipei, Taiwan, by NewsRx jo urnalists, research stated, “Channel estimation accuracy significantly affects t he performance of orthogonal frequency-division multiplexing (OFDM) systems.” Financial supporters for this research include National Science And Technology C ouncil, Taiwan. The news journalists obtained a quote from the research from National Taipei Uni versity of Technology: “In the literature, there are quite a few channel estimat ion methods. However, the performances of these methods deteriorate considerably when the wireless channels suffer from nonlinear distortions and interferences. Machine learning (ML) shows great potential for solving nonparametric problems. This paper proposes ML-based channel estimation methods for systems with comb-t ype pilot patterns and random pilot symbols, such as ATSC 3.0. We compare their performances with conventional channel estimations in ATSC 3.0 systems for linea r and nonlinear channel models. We also evaluate the robustness of the ML-based methods against channel model mismatch and signal-to-noise ratio (SNR) mismatch. ”
National Taipei University of TechnologyTaipeiTaiwanAsiaCyborgsEmerging TechnologiesMachine Learning
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