| Citation: | GUO Chenxi, HAO Xinhong, LI Ping, et al. Optimized two-dimensional FFT signal processing algorithm for millimeter-wave FM fuze[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(1): 220-228. doi: 10.13700/j.bh.1001-5965.2019.0185(in Chinese)
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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.
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