一种基于MIMO OFDM系统的格子缩小辅助算法的新代检测方法
Haitao Liu1,2, Xuchao Cheng3, Wenqing Li4
1College of Information and Communication Engineering, Dalian Minzu University, Dalian, China.
Scientific reports
|February 2, 2024
概括
一个新的代检测算法提高了多输入多输出直角频率分割复杂化系统的性能. 这种格子减少辅助方法提高了准确性并减少了错误传播,比现有方法提供了显著的收益.
科学领域:
- 无线通信无线通信
- 信号处理 信号处理
背景情况:
- 多输入多输出直角频率划分多重复合 (MIMO-OFDM) 系统对于高速无线通信至关重要.
- 最大概率 (ML) 接收器提供最佳性能,但计算密集.
- 格子减少辅助 (LRA) 算法提供了接近ML的性能,并降低了复杂性.
研究的目的:
- 为MIMO-OFDM系统提出一种新的代检测算法.
- 为了提高并行干扰取消 (PIC) 算法的准确性和稳定性.
- 为了减少与MIMO-OFDM接收器中的软信息交换相关的计算开销.
主要方法:
- 在一个新的代检测框架内集成格子减小辅助 (LRA) 算法.
- 在探测器内实现内部软信息交换,以最大限度地降低与轮解码器的交换成本.
- 修改并行干扰取消 (PIC) 算法以整合LRA,以提高初始检测准确度和减轻错误传播.
主要成果:
- 拟议的代LRA-PIC算法证明了与标准PIC相比,检测准确度的提高.
- 内部软信息交换显著降低了MIMO-OFDM检测器和轮解码器之间的成本.
- 模拟结果显示,与其他算法相比,在10^-4的比特错误率下,性能提高了0.8-2 dB.
结论:
- 拟议的LRA增强的代检测算法为MIMO-OFDM系统提供了性能和复杂性之间的优越权衡.
- 这种新的方法有效地减轻了传统PIC算法固有的错误传播问题.
- 这种方法在实际的MIMO-OFDM接收器中实现接近ML的性能方面取得了重大进展.
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