中文摘要：

针对机载预警雷达在强地/海杂波环境下的微弱目标检测问题,研究了基于动态规划的空时自适应处理级联检测前跟踪（STAP-TBD）技术.首先建立了空时二维杂波数学模型并给出了STAP-TBD广义似然比检测模型,通过STAP处理获得单帧最优输出信杂噪比,并运用动态规划法对连续帧数据进行积累,最后利用广义似然比检测完成对目标的有效检测.仿真结果表明,STAP-TBD技术具有在强杂波背景下检测微弱目标的能力.

英文摘要：

Aimed at the weak target detection of the airborne early warning radar under the background of strong ground/sea clutter,the dynamic programming-based space-time adaptive processing cascaded track-be-fore-detection（STAP-TBD） technique is studied in this paper.First,a math model for space-time two dimensional clutter is set up and the STAP-TBD generalized likelihood ratio test（GLRT） model given,and then the single frame optimum signal-to-clutter-and-noise ratio is obtained through STAP.Next,the continuous frame data accumulation is carried out by using the dynamic programming scheme.Finally,the effective detection of targets is implemented by utilizing the GLRT.Simulation results show that the STAP-TBD technique possesses the capability of detecting the weak targets under the background of strong clutter.