Simulation Analysis of the Impact of Parameter Errors in SAR Satellite False Signal Jamming

Synthetic Aperture Radar (SAR) satellite false signal jamming can generate highly realistic false scenes in SAR images and is difficult to detect and trace. However, actual interference signal parameter estimation inevitably contains deviations. Studying its impact on surface object recognition is crucial for suppressing such interference. This paper begins with the generation mechanism of SAR satellite false signal jamming, analyzes key parameters that affect false scene imaging quality in signals, and through point scatterer simulation analyzes position offset, defocus and blurring caused by the slant range, pulse delay, platform velocity, range modulation frequency, carrier frequency and PRF error. Combined with the actual surface object simulation, the influence of object position offset and defocus on object recognition in different scenarios was analyzed. Results show that for land objects with background reference information, identification is relatively easier. However, marine objects are difficult to distinguish from real objects. It is necessary to focus on conducting research and engineering application of activepassive cooperative anti-jamming for marine scenarios.