Stochastic Radiation Radar High-Resolution Reconstruction Based on Interpulse Frequency Hopping Accumulation Method

被引:1
|
作者
Zhang, Yin [1 ]
Qin, Qianyang [1 ,2 ]
Liu, Meiting [1 ]
Mao, Deqing [1 ]
Huang, Yulin [1 ]
Yang, Jianyu [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China
[2] Huawei Technol Co Ltd, Dongguan 523000, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Imaging; Time-frequency analysis; Stochastic processes; Superresolution; Signal to noise ratio; Transmitting antennas; Radar imaging; High-resolution imaging; interpulse frequency hopping accumulation (IFHA); stochastic radiation radar (SRR);
D O I
10.1109/LGRS.2022.3213485
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Stochastic radiation radar (SRR) transmits space-time two-dimensional stochastic signals to achieve superresolution imaging and can overcome the geometric acquisition limitations of traditional synthetic aperture radar (SAR). However, the resolution of an SRR system is limited by the number of effective singular values of its stochastic radiation field (SRF). In this letter, an interpulse frequency hopping accumulation (IFHA) method is proposed to improve the resolution of an SRR system. First, an SRR signal model is introduced. The rank of the traditional SRF generation method is quantitatively analyzed and is limited by the number of transmitting array elements. Second, an IFHA method is proposed to increase the number of effective singular values of the SRF matrix, which can improve the superresolution imaging performance of SRR. Finally, the simulation results verify the effectiveness of the proposed method.
引用
收藏
页数:5
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