Symbol Rate and Carries Estimation in OFDM Framework: A high Accuracy Technique under Low SNR
Zetian Qin, Yubai Li, Benye Niu, Qingyao Li, Renhao Xue

TL;DR
This paper introduces a high-accuracy technique for estimating symbol rate and carrier count in OFDM systems operating under low SNR conditions, addressing limitations of existing algorithms.
Contribution
It proposes a novel algorithm that enhances carrier and symbol rate estimation accuracy in low SNR environments by using correlation and FFT methods.
Findings
Reduced error rate in carrier estimation under low SNR
Improved OFDM symbol time estimation accuracy
Enhanced performance over existing algorithms
Abstract
Under a low Signal-to-Noise Ratio (SNR), the Orthogonal Frequency-Division Multiplexing (OFDM) signal symbol rate is limited. Existing carrier number estimation algorithms lack adequate methods to deal with low SNR. This paper proposes an algorithm with a low error rate under low SNR by correlating the signal and applying a Fast Fourier Transform (FFT) operation. By improving existing algorithms, we improve the performance of the OFDM carrier count algorithm. The performance of the OFDM's useful symbol time estimation algorithm is improved by estimating the number of carriers and symbol rate.
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Taxonomy
TopicsAdvanced Wireless Communication Techniques · PAPR reduction in OFDM · Blind Source Separation Techniques
