在使用一位ADC的MIMO系统中提高了概率概率
1Department of Electronic Engineering, Gachon University, Seongnam 13120, Republic of Korea.
Sensors (Basel, Switzerland)
|July 8, 2023
概括
这项研究提高了使用一位模拟数字转换器 (ADC) 的多输入多输出 (MIMO) 系统的概率概率. 新方法通过改进概率概率估计来提高信号噪声比,提高系统性能.
科学领域:
- 电气工程 电气工程
- 信号处理 信号处理
- 无线通信无线通信
背景情况:
- 带有单位模拟数字转换器 (ADC) 的多输入多输出 (MIMO) 系统由于不准确的概率概率而遭受性能退化.
- 准确的概率概率估计对于MIMO系统中可靠的信号检测至关重要.
研究的目的:
- 开发一种改进的方法来估计一个位ADC MIMO系统中的概率概率.
- 为了减轻不准确的概率估计造成的性能恶化.
主要方法:
- 利用检测到的符号,通过将其与初始的概率概率相结合来估计真正的概率概率.
- 制定一个优化问题,以最大限度地减少真和组合概率概率之间的平均平方误差.
- 使用最小平方法推导一个解决方案.
主要成果:
- 拟议的方法实现了约0.3dB的信号对噪声增益,误率为10-1.
- 与传统方法相比,在一位ADC MIMO系统中表现出更好的性能.
结论:
- 概率概率的增强可靠性是观察到的性能改善的关键.
- 拟议的方法提供了一种可行的解决方案,用于提高MIMO系统性能,使用一位ADC.
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