Micro-Doppler parameter estimation based on super-resolution modulation spectrum reconstruction

被引：0
|
作者：
Zhao Q. [1 ]
Zhao Z. [1 ]
Ye C. [1 ]
Lu Y. [1 ]
机构：
[1] Beijing Institute of Radio Measurement, Beijing
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2023年 / 45卷 / 02期
关键词：
modulation spectrum interval; short dwell; sparse iterative covariance-based estimation; staggered pulse repetition frequency;
D O I：
10.12305/j.issn.1001-506X.2023.02.11
中图分类号：
学科分类号：
摘要：
Modulation spectrum interval is an important feature of aerodynamic target recognition. However, its estimation encounters the problem of poor estimation accuracy and weak noise robustness in cases of limited radar waveform resources. In order to solve this problem, sparse iterative covariance spectrum estimation algorithm is introduced to carry out super-resolution of the modulation spectrum, and the power accumulation ratio of the fundamental frequency group is proposed to characterize the fundamental frequency according to the generation theory of modulation spectrum interval, and then the super-resolution estimation of the fundamental frequency is realized. Based on the analysis of the simulation and measured data of very high frequency band radar, it is proved that the proposed method has strong noise robustness, and can effectively improve the accuracy of modulation spectrum interval parameter estimation when the phase-coherent accumulation time is greater than 1.5 times of micro-motion period, and with modulation spectrum folding and pulse repetition frequency stagger. © 2023 Chinese Institute of Electronics. All rights reserved.
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页码：407 / 415
页数：8
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