METHOD FOR FORMING ENSEMBLES OF COMPLEX SIGNALS BASED ON MODIFIED NSGA-III ALGORITHM

Abstract

This paper presents a method for forming ensembles of complex signals based on structural transformation of time-domain segments and multi-objective optimization using a modified NSGA-III algorithm. It is shown that existing approaches mainly focus on optimizing individual signal characteristics and do not provide coordinated control of correlation and spectral properties in ensemble formation.

A comparative experimental study is performed to evaluate the effectiveness of the proposed method under interference conditions. The evaluation focuses on peak sidelobe level (PSL), integrated sidelobe level (ISL), and structural entropy.

The results demonstrate that the proposed approach enables coordinated reduction of correlation characteristics, formation of Pareto-optimal solutions, and improved efficiency of complex signal ensemble formation in interference environments.