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作 者:GUO XianSheng WAN Qun YANG WanLin LEI XueMei
出 处:《Science in China(Series F)》2009年第5期835-842,共8页中国科学(F辑英文版)
基 金:Supported by the National Natural Science Foundation of China (Grant No. 60772146);the Program for New Century Excellent Talents in University (Grant No. NCET-05-0806)
摘 要:The existing directions-of-arrival (DOAs) estimation methods for two-dimensional (2D) coherently distributed sources need one- or two-dimensional search, and the computational complexities of them are high. In addition, most of them are designed for special angular signal distribution functions. As a result, their performances will degenerate when deal with different sources with different angular signal distribution functions or unknown angular signal distribution functions. In this paper, a low-complexity decoupled DOAs estimation method without searching using two parallel uniform linear arrays (ULAs) is proposed for coherently distributed sources, as well as a novel parameter matching method. It can resolve the problems mentioned above efficiently. Simulation results validate the effectiveness of our approach.The existing directions-of-arrival (DOAs) estimation methods for two-dimensional (2D) coherently distributed sources need one- or two-dimensional search, and the computational complexities of them are high. In addition, most of them are designed for special angular signal distribution functions. As a result, their performances will degenerate when deal with different sources with different angular signal distribution functions or unknown angular signal distribution functions. In this paper, a low-complexity decoupled DOAs estimation method without searching using two parallel uniform linear arrays (ULAs) is proposed for coherently distributed sources, as well as a novel parameter matching method. It can resolve the problems mentioned above efficiently. Simulation results validate the effectiveness of our approach.
关 键 词:2D coherently distributed source uniform linear array direction-of-arrival (DOA) decoupled estimation quadric rotational invariance property (QRIP)
分 类 号:TP13[自动化与计算机技术—控制理论与控制工程] X831[自动化与计算机技术—控制科学与工程]
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