A Novel Nonlinear Frequency Modulation Waveform Optimization Method Based on Time-Frequency structure Design
Conference: EUSAR 2021 - 13th European Conference on Synthetic Aperture Radar
03/29/2021 - 04/01/2021 at online
Proceedings: EUSAR 2021
Pages: 5Language: englishTyp: PDF
Authors:
Long, Yajun; Jin, Guodong (The Department of Space Microwave Remote Sensing System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China & The School of Electronics, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China)
Zhao, Fengjun; Wang, Robert (The Department of Space Microwave Remote Sensing System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China)
Abstract:
Commonly, weighted windows are employed to suppress range sidelobes in synthetic aperture radar (SAR) which transmits linear frequency modulation (LFM) waveform. However, it causes signal-to-noise ratio (SNR) loss of SAR images. Nonlinear frequency modulation (NLFM) waveform can provide lower range sidelobes without loss of SNR. Hence, we propose a novel NLFM waveform optimization method based on time-frequency structure design and augmented Lagrange particle swarm optimization (ALPSO) algorithm. Three groups of waveform optimization experiment were done, the sidelobe of our optimized NLFM waveform have a reduction of 6dB over the NLFM waveform generated by power spectral density (PSD) of window function while maintaining the same main lobe width.