Impact of Phase Noise on Orthogonal Frequency Division Multiplexing (OFDM) Systems with Correction Algorithms
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Resource Overview
This paper analyzes the effects of phase noise on OFDM systems, revealing that phase noise induces both Common Phase Error (CPE) and Inter-Carrier Interference (ICI), significantly degrading system performance. To address these issues, we propose a CPE correction method based on the Mean Squared Error (MSE) criterion and an adaptive ICI cancellation technique using the Least Mean Squares (LMS) algorithm, which leverages the dominant interference from adjacent subcarriers. The implementation involves calculating CPE compensation factors through pilot symbol analysis and applying LMS-based adaptive filtering to mitigate adjacent-channel ICI. Simulation results demonstrate that our computationally efficient algorithm substantially enhances OFDM performance.
Detailed Documentation
This article provides a detailed analysis of phase noise impacts on Orthogonal Frequency Division Multiplexing (OFDM) systems. Phase noise not only generates Common Phase Error (CPE) but also causes Inter-Carrier Interference (ICI), both of which severely degrade OFDM system performance. Consequently, correcting both CPE and ICI is essential.
We propose a CPE correction method based on the Mean Squared Error (MSE) criterion, implemented by estimating phase rotation using known pilot symbols and applying a phase compensation factor to all subcarriers. Recognizing that ICI primarily originates from adjacent subcarriers, we develop an adaptive adjacent-channel interference cancellation approach using the Least Mean Squares (LMS) algorithm. The LMS implementation involves iteratively adjusting filter weights to minimize interference through real-time error feedback.
The complete algorithm is computationally simple and efficient, requiring only basic arithmetic operations for phase correction and low-complexity adaptive filtering. Simulation results confirm that the proposed methodology significantly improves OFDM system performance by effectively mitigating both CPE and ICI distortions.
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