一种机载雷达空时相邻多波束算法

Modified space-time multiple-beam approach for the airborne radar

利用空时相邻多波束算法(STMB)系统自由度低的优点和多级维纳滤波器(MWF)的广义旁瓣对消器结构,提出一种基于空时相邻多波束算法的机载雷达空时自适应处理(STAP)降维方法.首先利用STMB对空时信号进行预滤波,降低了杂波自由度.然后采用MWF处理预处理输出的信号,求解权向量,进一步降低了运算量.理论分析和实验仿真表明,所提算法具有很好的容差能力,是一种稳健的降维空时自适应处理方法.最后,基于实测数据的实验证明了算法的有效性.

For the low system degrees of freedom of the Space-Time Multiple-Beam （STMB） approach and the general sidelobe canceller structure of the multistage Wiener filter （ MWF）, a dimension-reducing space-time adaptive processing （STAP） based on the STMB approach for the airborne radar is proposed. Firstly, to reduce the degrees of freedom of the clutter, the space-time received data are pre-fihered by using the STMB approach; secondly, the output data after preprocessing are processed by the MWF to optimize the weight vector, which can further reduce both computational complexity and sample support requirement. Theoretical analysis and computer simulation results illustrate that the method can achieve a robust performance without a large loss in the presence of large random amplitude and phase errors existing in the array elements. Experimental results by using the measured data demonstrate the effectiveness of the proposed method.