研究目的
To develop an SNR analysis and estimation algorithm for efficient phase noise mitigation in millimetre-wave SC-FDE systems, enhancing the performance of MMSE equalisation and phase noise mitigation without iterative processes.
研究成果
The proposed SNR estimation algorithm effectively mitigates phase noise in millimetre-wave SC-FDE systems, reducing packet error rates without iterative processes. It outperforms conventional methods in accuracy and stability, as validated through simulations. Future work could focus on hardware implementation and testing in diverse scenarios.
研究不足
The study is based on simulations and may not account for all real-world variations in hardware or channel conditions. The phase noise model is simplified (one-pole/one-zero), and the algorithm's performance in highly dynamic environments is not extensively tested. Complexity analysis is theoretical and may vary with implementation.
1:Experimental Design and Method Selection:
The study uses a simulation-based approach to analyze the effect of phase noise on SC-FDE systems, proposing an SNR estimation algorithm. Theoretical models include the IEEE
2:11ad specification for system parameters and a one-pole/one-zero model for phase noise. Sample Selection and Data Sources:
8 Simulations are performed using 20,000 NLOS channels in a living room environment based on IEEE
3:11ad channel models. List of Experimental Equipment and Materials:
8 No physical equipment is used; simulations are conducted with specified parameters such as sampling rate, sequence lengths, and modulation schemes.
4:Experimental Procedures and Operational Workflow:
Link-level simulations are conducted under various phase noise levels (PSD0) and SNR ranges. The proposed algorithm involves channel estimation, SNR estimation, and phase noise mitigation using moving-average filters.
5:Data Analysis Methods:
Performance is evaluated through packet error rate (PER) comparisons, standard deviation of estimated SNR, and complexity analysis using computational metrics.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容