Performance analysis of moving ship target signal integration and detection in geosynchronous synthetic aperture radar

Abstract

Geosynchronous synthetic aperture radar (GEO SAR) has the characteristics of wide coverage and short revisit time, which makes GEO SAR moving target indication more valuable than other platforms. This article analyses the influence of moving target on ‘Stop-and-Go’ error in GEO SAR, and then the accurate slant range model of moving target is constructed. The signal-to-noise ratio of the raw data echoes for moving ship target is very low because of the high satellite orbit altitude, so it cannot be detected by constant false alarm detection. Based on the accurate slant range model of moving target in GEO SAR, three kinds of integration methods are reconstructed, including moving target detection, Radon transform and generalised Radon Fourier transform (GRFT). The performance of these methods is compared through numerical simulation. GRFT can provide the best detection performance in a reasonable integration time.

Keywords

• radar detection
• radar tracking
• fourier transforms
• spaceborne radar
• radar imaging
• radon transforms
• ships
• synthetic aperture radar
• object detection
• radar resolution
• performance analysis
• ship target signal integration
• geosynchronous synthetic aperture radar
• geo sar
• short revisit time
• target indication
• accurate slant range model
• signal-to-noise ratio
• constant false alarm detection
• target detection
• detection performance
• reasonable integration time