Waveform design of radar coincidence imaging radiation field based on image entropy

被引:0
|
作者
Zhang, Qian [1 ]
Zhang, Gong [1 ]
Chen, Ningwei [1 ]
Xiong, Qing [1 ]
Xie, Jun [1 ]
He, Yansen [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Elect & Informat Engn, Nanjing, Peoples R China
基金
中国国家自然科学基金;
关键词
MIMO radar; radar coincidence imaging; image entropy; waveform design;
D O I
10.1049/ell2.13201
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Radar coincidence imaging (RCI) is a high-resolution radar imaging mode which constructs a temporal spatial stochastic radiation field (TSSRF) and uses the correlation between reference signal and echoes for imaging. The correlation between the reference matrix and the echoes is the main factor affecting the imaging performance. In fact, radar target characteristics cause fluctuations in the radar cross section and variations in the scattering intensity of each resolution element. The latter degrades the correlation between the reference matrix and the echoes, seriously affecting the image reconstruction. This paper designs the waveform based on image entropy under fixed transmitting and receiving arrays. The targets with fluctuating scattering intensity at each resolution element are statistically modelled. Simulation results show this approach can improve the imaging performance and reduce the energy dissipation degree of the target grid. Radar target characteristics cause fluctuations in the scattering intensity of each resolution element and degrades the correlation between the reference matrix and the echoes in radar coincidence imaging. This paper statistically models the targets with fluctuating scattering intensity at each resolution element and designs the waveform based on image entropy under fixed transmitting and receiving arrays. Simulation results show this approach can improve the imaging performance and reduce the energy dissipation degree of the target grid. image
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页数:4
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