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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.
Aiming at the weak target detection problem of airborne early warning radar in strong ground / sea clutter environment, STAP-TBD (Space-Time Adaptive Processing) is studied based on dynamic programming. Firstly, Clutter mathematical model and given STAP-TBD generalized likelihood ratio detection model, obtained by STAP single-frame optimal output signal-to-noise ratio, and the use of dynamic programming for continuous frame data accumulation, and finally the generalized likelihood ratio After the detection, the target is effectively detected.The simulation results show that STAP-TBD has the ability of detecting weak targets in the background of strong clutter.