毫米波调频引信的优化二维FFT信号处理算法

针对毫米波调频引信对目标距离速度信息联合估计的问题，提出一种基于相对距离评价函数优化的二维快速傅里叶变换（FFT）信号处理算法。首先，通过分析二维FFT算法实际测距测速精度与FFT点数的关系，建立了优化数学模型，利用相对距离评价函数对数学模型求解，得到FFT点数最优解；然后，采样将差频信号数据转换成二维数据矩阵，分别对矩阵的行列进行相应FFT变换；最后，通过提取峰值点的坐标估计目标的距离速度信息。结果表明:该算法有效提高了传统二维FFT算法的测距测速精度，并且满足实时性要求，能够同时提取毫米波调频引信的目标距离速度信息。 

Optimized two-dimensional FFT signal processing algorithm for millimeter-wave FM fuze

In this paper, a two-dimensional fast Fourier transform(FFT) signal processing algorithm based on relative distance evaluation function optimization is proposed for the joint estimation of target range and velocity information of millimeter-wave frequency modulated fuze. The relationship between the accuracy of the actual ranging and velocity measurement and the number of FFT points is analyzed first. Then an optimization mathematical model is established. The mathematical model is solved by utilizing relative distance evaluation function. After obtaining the optimal solution of the number of FFT points, the beat frequency signal is sampled into two-dimensional data matrix. The corresponding FFT transformation on the rows and columns of the matrix is performed respectively. Finally, the target range and velocity information is estimated by extracting the coordinates of the peak points. The simulation and discussion analysis demonstrate that the proposed algorithm can effectively improve the accuracy of the actual ranging and velocity measurement of the traditional two-dimensional FFT algorithm and meet the real-time requirements. The algorithm can extract the target range and velocity information of millimeter-wave frequency modulated fuze simultaneously.