一个计算效率高的MUSIC算法,用于交叉双极阵列的增强DOA估计性能
Hao Nan1, Xiaofeng Ma1, Yubing Han1
1School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Sensors (Basel, Switzerland)
|September 19, 2025
概括
一个改进的实值缩小尺寸MUSIC (IRDR-MUSIC) 算法增强了交叉双极阵列的信号处理. 这种新的方法显著降低了计算复杂性,并改善了多目标分辨率,性能损失最小.
科学领域:
- 信号处理 信号处理
- 阵列信号处理 阵列信号处理
- 电磁学 电磁学 电磁学 电磁学
背景情况:
- 在计算复杂性和性能方面,MUSIC算法的局限性.
- 在阵列信号处理中需要高效的算法.
- 复杂共变矩阵的实值处理的挑战.
研究的目的:
- 提出一个改进的实值维度减小算法MUSIC (IRDR-MUSIC).
- 为了提高交叉双极数组的计算效率和多目标分辨率.
- 为了解决传统的实值共变矩阵构造中的信息丢失问题.
主要方法:
- 在多元向量的空间元件中导出并联对称性.
- 构建实值的和和差异共变矩阵.
- 开发一个联合总和差异共变矩阵,以保存完整的信息.
- 在实值领域应用单数值分解.
主要成果:
- IRDR-MUSIC算法显著降低了计算复杂度.
- 拟议的算法实现了增强的性能,可与复杂值方法相比较.
- 在多目标分辨率和计算效率方面表现出优越性.
- 空间频谱搜索范围减少了一半.
结论:
- IRDR-MUSIC算法为阵列信号处理提供了一个计算效率高和高性能解决方案.
- 它有效地克服了现有的缩小维度MUSIC算法的局限性.
- 联合总和差异共变矩阵保留了关键信息,以提高准确性.
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