| 载频重频联合捷变雷达目标参数估计方法 |
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| 引用本文： | 刘智星,全英汇,沙明辉,方文,高霞,邢孟道. 载频重频联合捷变雷达目标参数估计方法[J]. 系统工程与电子技术, 2023, 45(2): 401-406. DOI: 10.12305/j.issn.1001-506X.2023.02.10 |
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| 作者姓名： | 刘智星 全英汇 沙明辉 方文 高霞 邢孟道 |
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| 作者单位： | 1. 西安电子科技大学电子工程学院, 陕西 西安 7100712. 北京无线电测量研究所, 北京 1008543. 西安电子科技大学前沿交叉研究院, 陕西 西安 710071 |
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| 基金项目： | 国家自然科学基金(61772397);陕西省科技创新团队(2019TD-002) |
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| 摘 要： | 针对载频-重频联合捷变体制雷达目标参数估计问题，提出了一种新的基于多重信号分类(multiple signal classification, MUSIC)算法的载频-重频联合捷变雷达目标参数估计方法。通过信号模型的空时等效，将时域信号的处理等效成空域阵列信号的处理，并将超分辨阵列信号处理方法应用到目标的参数估计中，从而把目标距离和速度的估计等效成阵列中二维参数的估计，解决了由于载频-重频联合捷变所带来的目标参数估计难题。仿真实验表明，所提方法能有效实现对目标距离和速度的超分辨估计。
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| 关 键 词： | 载频-重频联合捷变 多重信号分类算法 参数估计 超分辨 |
| 收稿时间： | 2021-01-26 |
Target parameter estimation method for frequency agility and pulse repetition frequency agility radar |
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| Zhixing LIU,Yinghui QUAN,Minghui SHA,Wen FANG,Xia GAO,Mengdao XING. Target parameter estimation method for frequency agility and pulse repetition frequency agility radar[J]. System Engineering and Electronics, 2023, 45(2): 401-406. DOI: 10.12305/j.issn.1001-506X.2023.02.10 |
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| Authors: | Zhixing LIU Yinghui QUAN Minghui SHA Wen FANG Xia GAO Mengdao XING |
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| Affiliation: | 1. School of Electronic Engineering, Xidian University, Xi'an 710071, China2. Beijing Institute of Radio Measurement, Beijing 100854, China3. Academy of Advanced Interdisciplinary Research, Xidian University, Xi'an 710071, China |
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| Abstract: | Aiming at the target parameter estimation problem of the frequency agility and pulse repetition frequency (PRF) agility radar system, a target parameter estimation method for the frequency agile and agile radar based on the multiple signal classification (MUSIC) algorithm is proposed. The processing of the time domain signal is equivalent to that of the space domain array signal by space-time equivalence of the signal model, and the super resolution array signal processing method is applied to the parameter estimation of the target. Therefore, range and velocity estimation of the target is equivalent to 2-D parameter estimation in array signals, which solves the problem of parameter estimation caused by frequency agility and PRF agility. The simulation results verify that the method can effectively realize the super resolution estimation of range and velocity. |
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| Keywords: | frequency agility and pulse repetition frequency agility multiple signal classification (MUSIC) algorithm parameter estimation super resolution |
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