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基于NYFR采样均匀线阵结构的参数估计方法

Parameter estimation method based on NYFR sampling uniform linear array structure
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摘要 为了克服传统奈奎斯特采样带来的庞大数据量的影响,且有效解决更宽频带范围内信号接收以及信号载频(carrier frequency,CF)、波达方向(direction of arrival,DOA)参数估计问题,提出了一种基于Nyquist折叠接收机(Nyquist folding receiver,NYFR)采样的均匀线阵结构。首先,构造多通道NYFR采样阵列结构完成入射信号的接收和折叠采样处理;然后,分析并验证多通道NYFR采样信号的相位一致性;最后,分别在信号源原始奈奎斯特区间(Nyquist zone,NZ)未知和已知的情况下进行仿真实验。仿真实验结果表明,所提阵列结构下的信号模型不仅适用于CF与DOA联合估计方法,同时还适用于多种DOA估计算法,验证了所提阵列结构的正确性和有效性。 In order to overcome the influence of huge data volume caused by traditional Nyquist sampling,and to solve the problem of signal reception effectively in the wider band range and the estimation of signal carrier frequency(CF)and direction of arrival(DOA)parameters.An uniform linear array structure based on sampling of Nyquist folding receiver(NYFR)is proposed.Firstly,a multi-channel NYFR sampling array structure is constructed to receive the incident signal and process the fold sampling.Secondly,the phase consistency of the multi-channel NYFR sampling signal is analyzed and verified.Finally,simulation experiments are carried out in the unknown and known original Nyquist zone(NZ)of sigal source.The simulation experimental results show that the signal model under the array structure proposed in this paper is not only suitable for the CF and DOA joint estimation method,but also suitable for multiple DOA estimation algorithms,which verifies the correctness and effectiveness of the array structure.
作者 陈涛 梁曜鹏 余玉威 CHEN Tao;LIANG Yaopeng;YU Yuwei(College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China;AVIC United Technology Center for Electromagnetic Spectrum Collaborative Detection and Intelligent Cognition,Aviation Industry Corporation of China,Harbin 150001,China)
出处 《系统工程与电子技术》 EI CSCD 北大核心 2024年第12期3965-3972,共8页 Systems Engineering and Electronics
基金 国家自然科学基金(62071137) 中央高校基本科研业务费专项资金(3072024CFJ0801)资助课题。
关键词 均匀线阵 奈奎斯特折叠接收机 折叠采样 载频与波达方向联合估计 uniform linear array Nyquist folding receiver(NYFR) folding sampling carrier frequency(CF)and direction of arrival(DOA)joint estimation
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