基于级联DOA-TDOA的多源加权定位
Jinshen Fang1, Jianfeng Li1, Shenghui Zhao1
1College of Electronic and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Sensors (Basel, Switzerland)
|March 14, 2026
概括
这项研究引入了一种新的级联到达方向 (DOA) 和到达时间差异 (TDOA) 定位算法,以准确确定多个信号源. 该方法增强了多源分离,并通过代权重改进了定位,提高了准确性和稳定性.
科学领域:
- 信号处理 信号处理
- 在本地化算法算法.
- 阵列信号处理 阵列信号处理
背景情况:
- 时间差距到达 (TDOA) 定位提供了稳定性和准确性.
- 多源场景通过纠测量来使TDOA复杂化.
- 准确的来源分离和关联对于可靠的本地化至关重要.
研究的目的:
- 提出一个级联的DOA-TDOA算法,以实现强大的多源本地化.
- 为了利用DOA进行信号分离和TDOA进行精确定位.
- 在复杂的环境中增强本地化准确性和稳定性.
主要方法:
- 对于初始粗位置的DOA估计和几何一致性匹配.
- 最小变异无扭曲响应 (MVDR) 空间过用于信号分离和SNR增强.
- 使用差异几何稀释精度 (D-GDOP) 进行代加权最小平方 (WLS) 定位以进行精细化.
主要成果:
- 拟议的算法有效地分离多源信号.
- 基于D-GDOP的代权重显著提高了定位的准确性.
- 与现有方法相比,模拟显示出更高的性能.
结论:
- 级联DOA-TDOA方法为多源本地化提供了一个强大的解决方案.
- MVDR过和代的WLS改进提高了估计精度.
- 该方法在具有挑战性的多源环境中提供了更高的准确性和稳定性.
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