摘要
天线间存在幅度与相位误差时,到达角估计精度会显著降低。研究了存在幅度与相位误差时均匀线性阵列的到达角估计问题,通过引入对角阵来描述幅相误差,基于压缩感知理论提出了稀疏系统模型,并将到达角估计问题转换为稀疏重构问题。提出了基于原子范数的稀疏重构算法,该原子范数方法可以有效挖掘信号的空域稀疏特征,降低了幅相误差对到达角估计性能的影响,通过稀疏重构理论可以实现高精度的到达角估计。仿真结果表明,存在幅相误差时,所提算法可以有效提高相关信号的达角估计性能。
With gain-phase errors among antennas*the accuracy of the direction of arrival(DOA)estimation is reduced significantly.The problem of DOA estimation for uniform linear arrays with gain-phase errors is studied.Based on the theory of compressed sensing,the gain-phase errors are introduced by introducing diagonal arrays.The sparse system model is proposed and the DOA estimation problem is transformed into sparse reconstruction problem.A sparse reconstruction algorithm based on atomic norm is proposed,which can exploit the target sparsity in the spatial domain and reduces the influence of gain-phase errors on the estimation performance.The sparse reconstruction theory can realize the high resolution of DOA estimation.The simulation results show that the proposed algorithm can effectively improve the angle estimation performance for the correlated signals when there are gain-phase errors.
作者
陈鹏
陈志敏
方兰婷
曹振新
吴乐南
Chen Peng;Chen Zhimin;Fang Langting;Cao Zhenxin;Wu Lenan(State Key Laboratory of Millimeter Waves,Southeast University,Nanjing 210096,China;Shanghai Dianji University,Shanghai 201306,China;School of Cyber Science and Engineering,Southeast University,Nanjing 210096,China;School of Information Science and Engineering,Southeast University,Nanjing 210096,China)
出处
《国外电子测量技术》
2019年第12期41-44,共4页
Foreign Electronic Measurement Technology
