Abstract:
针对轮换迭代算法在混合互耦误差和幅相误差条件下存在估计精度不高的问题,提出了一种改进非迭代多重信号分类(improved non-iterative multiple signal classification, INI-MUSIC)算法.改进算法利用误差系数在均匀圆阵下的特殊性质和矩阵向量转换定理,将幅相误差和互耦误差与波达方向(direction of arrival, DOA)估计角度分离,从而实现混合误差下的降维操作,进而通过重新构造代价谱峰函数对亏损的秩进行补偿,实现对DOA角度的估计和对误差系数的联合估计.此算法降低了混合误差条件下错误谱峰出现的概率,具有更好的二维DOA估计精度,...
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北京工业大学学报
Year: 2022
Issue: 01
Volume: 48
Page: 32-40
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 3
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