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作 者:刘声[1,2] 赵静 曹海林 田昌海[2] 吴德成 LIU Sheng;ZHAO Jing;CAO Hailin;TIAN Changhai;WU Decheng(Chongqing Key Laboratory of Space Information Network and Intelligent Information Fusion,Chongqing University,Chongqing 400044,P.R.China;School of Data Science,Tongren University,Tongren,Guizhou 554300,P.R.China)
机构地区:[1]重庆大学空天地网络互连与信息融合重庆市重点实验室,重庆400044 [2]铜仁学院大数据学院,贵州铜仁554300
出 处:《重庆大学学报》2021年第1期20-28,共9页Journal of Chongqing University
基 金:国家自然科学基金资助项目(51877015,U1831117);贵州省科技厅联合基金资助项目(LH[2017]7320,LH[2017]7321);贵州省教育厅科技拔尖人才资助项目(KY[2018]075);贵州省教育厅重大资助项目(KY[2016]051)。
摘 要:为了减小阵元之间的互耦效应,首先提出一种阵元间距可调节的互素嵌套阵列。这种阵列由2个不同的嵌套子阵列组成,2个子阵的最小阵元间距由一对互素的正整数确定。只要这对正整数足够大,2个子阵的最小阵元间距便可远超过入射信号的半个波长,从而将阵元间的互耦效应减小到可忽略的程度。然后,为了解决大间距阵列所引起的角度模糊问题,提出了一种基于四阶累积量的无模糊波达方向(DOA,direction of arrival)估计算法。仿真实验表明,此算法具有较好的估计性能,相比一些经典的自校正DOA估计算法,此算法具有更高的角度分辨力和估计精确度。In order to reduce the mutual coupling between sensors,a kind of co-prime nested array with adjustable element spacing is proposed.The proposed array consists of two nested arrays with different element spacing and the smallest intervals of two sub-arrays are determined by two co-prime positive integers.As long as the positive integers are big enough,the smallest intervals of each sub-array can be far more than half the wave length of incident signal,hence the reduction of the mutual coupling effect between sensors to a negligible level.To eliminate the direction ambiguity caused by large element spacing,a direction of arrival(DOA)estimation algorithm based on fourth-order cumulants is proposed to get unambiguous direction estimation.Compared with some classical self-correcting methods,the proposed algorithm has a higher angle resolution and estimation precision.Simulation results have proved the improved performance of proposed algorithm.
分 类 号:TN957[电子电信—信号与信息处理]
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