【摘要】 提出一种基于对称均匀线阵与二阶循环统计量相结合的远近场混合源定位新方法。该方法首先将均匀线阵划分为两个对称子阵,获得仅包含方位角信息的旋转矩阵,以此为基础,构造谱峰搜索函数,实现远场源和近场源角度的同时估计,将获得的方位角信息代入二维MUSIC谱函数,实现近场源距离估计。所提算法计算复杂度低,估计精度较高,且无需参数配对及二维搜索。均方根误差的仿真结果验证了该算法的有效性。更多还原

【Abstract】 Based on the symmetric Uniform Linear Array(ULA)and the second-order cyclic statistic,an efficient algorithm is proposed to deal with the localization of the mixed far-field and near-field cyclostationary sources.First,by exploiting the symmetric property of the divided subarrays,a rotational matrix is constructed,in which only the Direction-of-Arrival(DOA)information is contained.Then,the DOA estimations for both far-field and near-field sources are performed from a spectral search procedure.Finally,by substituting the obtained azimuth back into the twodimensional MUSIC spectral function,the range estimations for the near-field sources is performed.Compared with previous works,the proposed algorithm saves computation cost,provides high estimation accuracy,and requires neither two-dimensional search nor parameter-pairing procedure.Computer simulations confirm the feasibility of the proposed algorithm.更多还原