Cognitive SAR Waveform Design Method Based on Joint Optimization Criteria

Abstract

Intelligence technology has been widely used in various radar applications in recent years. However, there are few studies on the combination of intelligence technology and synthetic aperture radar (SAR). In this paper, a cognitive SAR waveform design method based on joint optimization criteria is proposed. The proposed method constructs a criteria jointing the resolution of SAR transmitting waveform and output SCNR. Cognitive SAR waveform designed upon this criterion solves the problem of weak clutter suppression and poor cognitive ability of conventional SAR. Meanwhile, it also solves the problem that the resolution performance of waveform designed based on the traditional criterion of maximum output SCNR is too poor to be used in SAR for high resolution missions. Simulation results show that the waveform designed by this method has high SCNR and great resolution.