雷达系统高机动目标检测的能量积累方法研究

Research on energy accumulation for detection of highly maneuverable targets for radar systems

研究了雷达系统检测和跟踪微弱目标的能量积累方法的性能,高速、变加速的机动性较强的目标在积累时间内不仅会出现距离徙动和多普勒模糊,不同时间段能量聚焦点还会发生偏移,因而传统的Keystone变换或者一般的频域补偿方法已不适合高机动目标能量的积累的问题,提出了一种结合先验信息进行实时补偿的频域滤波方法。该方法一方面利用不同参数构成的频域补偿函数消除距离徙动和多普勒模糊,参数的估计通过一步预测、精确搜索方法结合先验信息完成;另一方面根据不同脉冲时刻参数的变化对聚焦位置平移实现不同时间段的能量积累。仿真结果表明该方法能有效解决高机动目标的能量积累问题。

The performance of the energy accumulation means for radar systems＇ detecting and tracking weak targets was analyzed. Aiming at the problem that for more maneuverable targets with high-speed and variable acceleration, range migration and Doppler walk occur in the integration time, and the focus points of energy in different periods may shift, thus the traditional keystone transform or normal frequency compensation methods are not suitable for more maneuverable targets＇ energy accumulation, a frequency domain filtering method for realizing of real-time compensation based on prior information was proposed. The method can eliminate the range migration and Doppler walk by using the frequency domain compensation function composed of different parameters, in which parameters＇ estimation can be completed through the one-step prediction and the accurate searching combined with prior infor- mation. Moreover, it achieves the energy accumulation of different periods by shifting the focus position according to varying parameters. The simulation results show that the proposed method can solve the energy accumulation problem effectively.