The invention relates to the technical field of
radar signal processing, in particular to a
particle swarm optimization-based MTD
filter design method, which comprises the following steps of: S1, obtaining a Doppler
center frequency range and a normalized half width according to a
radar type and a
clutter type so as to obtain a constraint condition, obtaining filter information according to the constraint condition and the global
pilot vector matrix; s2, designing a
fitness function according to the nonlinear function and a
hard coding threshold; and S3, designing a filter according to the
fitness function, and iteratively updating the filter according to a
main lobe width dichotomy to obtain optimal filtering. According to the method, the linear and nonlinear multi-parameter
fitness function is constructed, so that the
optimal design is realized on the premise of meeting the requirements of
stopband attenuation, null depth and
clutter band width. The
main lobe width is subjected to dichotomy iterative optimization, so that higher robustness in different
clutter environments is realized, the design efficiency of the MTD filter is improved, the
main lobe broadening of the filter is reduced, and the
gain loss of the filter is reduced.