Lowside-lobe waveform design of phase-coded radar based on improved butterfly algorithm
To address the problem of phase coded signal waveform side-lobe suppression,two methods,low side-lobe waveform optimization and mismatch filter weight optimization,are investigated.An Improved Butterfly Optimization algorithm(IBOA)is pro-posed based on the conventional optimization algorithm for side-lobe suppression.In terms of low side-lobe waveform optimization de-sign,this paper establishes a low side-lobe waveform optimization function using the peak side-lobe level ratio and side-lobe energy as criteria,introduces a logic mapping to generate the initial coding matrix,and proposes a non-linear variation convergence factor and a non-linear inertia weight improved butterfly algorithm for waveform optimization design.Based on the design of the mismatch filter,the design criteria of the mismatch filter is to reduce the peak side-lobe and integral side-lobe levels,while the optimization constraint is the mismatch filter loss,and the optimal design of the mismatch filter is carried out by the improved butterfly algorithm.Experimental simulations are performed to verify the side-lobe characteristics of the waveform and the performance advantages of the mismatch filter.It is shown that the improved butterfly algorithm has better performance in the direction of waveform optimization design.
phase-codedoptimization of low side-lobe waveformsmismatch filter optimization