Paper Info
Title
An Advanced Nonlinear Frequency Modulation Waveform for Radar Imaging With Low Sidelobe
Abstract
With the development of high-resolution radar satellite for global comprehensive environmental monitoring, day-and-night and all-weather surveillance has become an active and growing research field. However, in all cases, these applications require radar to have a high-efficiency radar module (e.g., T/R module), and high system transmitting power. These requirements may put an important limitation on the performance of a radar satellite with a high-power configuration. In this paper, we report a novel waveform optimization framework. Through this framework, an advanced nonlinear frequency modulation (NLFM) waveform with lower sidelobes and a smaller main lobe, which can significantly relieve the restriction of very limited satellite power, is constructed. In addition, we apply it in a real synthetic aperture radar (SAR) system with a bandwidth of 100 MHz at 9.6-GHz carrier frequency and the whole process of the NLFM waveform for radar imaging is discussed in detail, including the system architecture and configuration, a system error compensation method, and a modified chirp scaling algorithm (CSA). The imaging results demonstrate the excellent performance of the advanced NLFM waveform. Moreover, we observe that the SAR system with the advanced waveform has a higher signal-to-noise ratio (SNR) of 1.29 dB compared with the conventional linear frequency modulation (LFM) waveform. The improvement of 1.29-dB SNR means that the real radar system can reduce transmitting power with a ratio of 25%. This effect is likely to be a potential feature of NLFM waveform, which can reduce the transmitting power requirement, especially for radar satellite.
Year
DOI
Venue
2019
10.1109/tgrs.2019.2904627
IEEE Transactions on Geoscience and Remote Sensing
Keywords
DocType
Volume
Chirp scaling algorithm (CSA),nonlinear frequency modulation (NLFM) waveform,signal-to-noise ratio (SNR) improvement,synthetic aperture radar (SAR),waveform optimization
Journal
57
Issue
ISSN
Citations 
8
0196-2892
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Guodong Jin104.73
Yunkai Deng200.68
Robert Wang300.68
Wei Wang492.61
Pei Wang503.72
Yajun Long603.38
Zhimin Zhang7397.71
Yongwei Zhang802.70