数字自干扰取消器与联合通道估计器,用于同时传输和接收系统
Shiyu Song1, Yanqun Tang1, Xianjie Lu1
1School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen 518107, China.
Sensors (Basel, Switzerland)
|April 27, 2024
概括
本研究介绍了自干扰取消 (SIC) 的自适应算法,用于同时发送和接收的无线系统. 这些方法改善了通道估计,并降低了比特错误率,提高了光谱效率.
科学领域:
- 无线通信无线通信
- 信号处理 信号处理
背景情况:
- 同时发送和接收 (STAR) 无线系统提供双倍的频谱效率,但需要有效的自我干扰 (SI) 缓解.
- 准确估计SI和远程传输 (RT) 通道对于信号均等至关重要.
研究的目的:
- 为线性和非线性自我干扰取消 (SIC) 提出新的自适应算法.
- 通过共同估计道和执行SIC来提高STAR系统的性能.
- 为了提高算法对冲动噪声的稳定性.
主要方法:
- 基于多层联合通道估计器结构的两个自适应算法的开发.
- 实现一个M-estimate函数,以提高强度.
- 为非线性SIC引入一个概括的汉默斯坦多项式基础函数.
主要成果:
- 拟议的算法有效地估计了在SIC.期间的RT通道.
- 在一系列干扰-信号比率中观察到更好的性能.
- 与现有方法相比,非线性SIC算法显示出更高的收速度和更低的正常化平均二次差异.
- 通过拟议的方法实现了降低系统位误差率.
结论:
- 开发的多层联合通道估计结构和自适应算法显著提高了STAR系统中的SIC性能.
- M-estimate功能提供了对冲动噪声的稳定性.
- 非线性SIC算法为先进的无线通信系统提供了更高效和有效的解决方案.
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