1. Estimation for Two-Dimensional Incoherently Distributed Source in Double L-Shape Arrays
- Author
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Jiwei Xu, Tao Wu, Zhenghong Deng, and Qingyue Gu
- Subjects
Matching (graph theory) ,Computer science ,generalized steering vectors ,General Engineering ,Elevation ,Direction of arrival ,020206 networking & telecommunications ,incoherently distributed sources ,TL1-4050 ,02 engineering and technology ,direction of arrival ,symbols.namesake ,0202 electrical engineering, electronic engineering, information engineering ,Taylor series ,symbols ,Rotational invariance ,020201 artificial intelligence & image processing ,Point (geometry) ,Rotation (mathematics) ,Algorithm ,Signal subspace ,double l-shape arrays ,Motor vehicles. Aeronautics. Astronautics - Abstract
Distributed sources can be regarded as an assembly of point sources within a spatial distribution. In this paper, we explore the estimation of the two-dimensional incoherently distributed sources using double L-shape arrays. The rotational invariance properties of the nominal elevation and nominal elevation are firstly obtained by taking first-order Taylor series expansions with regard to the generalized steering vectors of two pairs of parallel subarrays. The rotation operators can be solved based on signal subspace. Then the nominal elevation and nominal elevation can be obtained from parameters matching method. Estimation of direction of arrival can be used in multi-source scenario and needn't peak-finding search. Lastly the angular spreads can be solved through two-dimensional Capon search based on nominal angles. The simulation experiments show that the proposed method has good performance on the estimation of two-dimensional incoherently distributed sources. Investigating different experimental conditions, sources with different angular spreads, simulations are conducted to validate better estimation accuracy of the proposed method.
- Published
- 2019