A Convolution Modulation Jamming Method Based on the Optimal Combination of Noise Templates
Ying Wang, Guikun Liu, Xile Ma, Chen Song, Guodong Jin, Liang Li
Abstract
The convolution modulation jamming method based on noise template has received widespread attention and application due to its advantages such as having the ability to obtain synthetic aperture radar (SAR) system processing gain. However, there are few studies on the evaluation analysis and optimization design of noise templates. In this letter, an optimal noise template generation method based on weighted combination is proposed and the multi-scale structural similarity (MS-SSIM) index is used to evaluate the jamming effect of the obtained optimal noise template. The experimental results show that the optimal combination noise template can achieve better jamming effect than traditional noise templates under the same jamming-to-signal ratio (JSR), which verifies the effectiveness of the proposed method.