无人机合成孔径雷达(SAR)的抗干扰性能是决定其能否适应现代战场环境的重要因素。为了提高SAR 的抗干扰性能,提出了一种随机变脉冲重复频率(PRF)和脉宽的噪声SAR 成像新体制。首先,在建立成像模型的基础上对成像算法进行了推导;然后,对随机PRF 和随机脉宽的实现方法进行了分析;最后,通过对发射线性调频信号的传统SAR 体制与随机变PRF 和脉宽的噪声SAR 体制在转发式干扰影响下的成像性能进行了仿真比较。仿真结果表明:文中提出的噪声SAR 体制相比传统SAR 体制具有较好的抗干扰性能。

The anti-jamming performance of unmanned aerial vehicles (UAV) synthetic aperture radar (SAR) is an important factor, which determines whether it can adapt to the modern battlefield environment. In order to improve the anti-jamming performance of SAR, a new noise SAR system with random variable PRF and pulse width is proposed in this paper. Firstly, the imaging model is established, and then the imaging algorithm of the system is derived. Secondly, the realization methods of random PRF and random pulse width are analyzed. Finally, the traditional SAR system for transmitting LFM signals and the noise SAR system with random variable PRF and pulse width are respectively simulated under the repeater jamming, and the comparison of their imaging performance demonstrate that the proposed noise SAR system has better anti-jamming performance.

TN959.1