摘要
针对低空测向,提出了一种基于多径衰落特性的快速波达方向估计算法。先给出了一种新的基于时域数据块平滑(TDBS)解相干方法,无阵列孔径损失,对阵列结构无要求,再分步分辨相干和非相干信源,用少数阵元进行迭代解相干处理,降低了算法的运算量,可分辨更多信源。算法无需特征值分解,有较强的实时性。仿真结果表明算法理论正确且有效。
A fast DOA estimation algorithm based on multi-path fading characteristic was put forward for the need of low-angle bearing in this paper.A new de-correlation method based temporal data block smoothing was proposed firstly,which was no array aperture losing and had no requirements to the aperture structure.Then the correlated sources and incoherent sources were resolved separately,and the temporal data block smoothing was performed iteratively utilizing smaller sensor arrays,which could reduce the computational complexity and estimate more sources.The algorithm needn't eigen-value decomposition and high ability of realization.The simulation results showed that the algorithm was correct and effective.
出处
《上海航天》
2012年第3期6-10,53,共6页
Aerospace Shanghai
基金
国家自然科学基金项目(60601016)
关键词
低空测向
波达方向估计
特征值分解
时域数据块平滑
Low-angle bearing
Direction-of-arrive estimation
Eigen-value decomposition
Temporal data block smoothing