在高度动态的场景中研究导航接收器的零扩展算法
Yuanfa Ji1,2, Tao He1,2, Yu Chen3
1Information and Communication School, Guilin University of Electronic Technology, Guilin 541004, China.
Sensors (Basel, Switzerland)
|March 17, 2025
概括
这项研究引入了一种新的零扩展算法,用于在动态环境中改进干扰抑制. 固有值排序方法有效地扩大了零值,而不需要干扰方向,增强了信号采集和性能.
科学领域:
- 信号处理 信号处理
- 适应性过是一种自适应性过.
- 阵列信号处理 阵列信号处理
背景情况:
- 传统的功率倒置 (PI) 算法表现出狭窄的零值,限制了动态场景中的干扰抑制有效性.
- 现有的方法往往需要先前了解干扰信号方向,这限制了它们的适用性.
- 有效的干扰信号抑制对于在复杂的电磁环境中保持信号完整性至关重要.
研究的目的:
- 提出和评估一种新的零扩展算法,用于增强干扰信号抑制.
- 开发一种不需要事先了解干扰信号方向的方法.
- 在动态和具有挑战性的信号环境中提高自适应光束成型的性能.
主要方法:
- 拟议的算法使用采样共变矩阵的自身值排序.
- 它通过重新排序固有值,建立在共变矩阵缩短 (CMT) 算法之上.
- 该方法涉及向前和向后均算重构的协差矩阵的平均值.
主要成果:
- 该算法有效地扩大了零值,超过了CMT算法.
- 干扰方向的零深度增加了大约22dB,信号增益增加了15dB.
- 即使在低干扰-信号比率 (ISR) 和很少的快照的情况下,也可以成功获得信号.
结论:
- 拟议的固有值排序无扩展算法与现有方法相比,提供了优越的干扰抑制.
- 它在动态场景中表现出稳定性和有效性,而不需要干扰器方向信息.
- 该算法在信号与干扰加噪声比率 (SINR) 性能上提供了显著的改进.
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