基于人工智能技术的雷达目标检测

强杂波背景下的目标检测是各国争相研究的热点，传统的雷达目标检测技术无法实现，人工智能技术的出现，其在目标识别和特征提取方面的独特优势，使得强杂波背景下的目标检测成为可能，利用人工智能神经网络的强大非线性预测能力对海杂波的非线性动力方程进行逼近，实现了对海杂波的非线性预测，提出了一种基于神经网络技术的强海杂波背景下的脉冲多普勒雷达导引头小目标检测方法，使得强海杂波背景下的目标检测能力有2 dB到6 dB的提升。

The Radar Target Detection based on Artificial Intelligence Technology

The research on the target detection in heavy clutter is very hot in many countries,but the traditional radar target detection technology has shortage,can’t satisfy the complicated war,with the innovative technology of artificial intelligence on,because of the advantages of artificial intelligence in target recognition and feature extraction,the target detection in heavy clutter is practicable,the article accomplished the nonlinear prediction of sea clutter,by fitting the nonlinear dynamic of sea clutter based on the artificial intelligence technology,and provided a method of Pulse Doppler radar seeker small target detection in heavy sea clutter based on the neural network technology,and the ability of target detection in heavy sea clutter is developed by 2 dB to 6 dB.