A Low Complexity Mixed-Field Sources Parameter Estimation Framework at Sub-Nyquist Sampling Rates

被引：0
作者：
Liang, Baoqiang [1 ]
Xu, Qian [1 ]
Wang, Chen [1 ]
Gao, Yulong [1 ]
机构：
[1] Harbin Inst Technol, Dept Commun Engn, Harbin, Peoples R China
来源：
2023 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, IWCMC | 2023年
基金：
中国国家自然科学基金;
关键词：
mixed-field; joint parameter estimation; sub-Nyquist sampling; automatically paired; low complexity; NEAR-FIELD; FREQUENCY ESTIMATION; JOINT DOA; FAR-FIELD; LOCALIZATION; MUSIC;
D O I：
10.1109/IWCMC58020.2023.10183209
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In order to solve the problem of multi-parameter joint estimation of multi-band signals in mixed-field (MF), a sub-Nyquist sampling structure is designed and a multi-parameter joint estimation framework based on symmetric uniform linear array (ULA) is proposed. Under this framework, multi-parameter estimation of MF signals can be achieved at sub-Nyquist sampling rates. The frequency, direction of arrival (DOA) and distance parameters of the MF signals are automatically paired and each step is the estimation of one-dimensional parameters, which simplifies calculation complexity while avoiding parameter pairing ambiguity.
引用
收藏
页码：1046 / 1051
页数：6
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