The invention, which belongs to the technical field of data processing, discloses a radar radiation source signal feature selection method based on a membrane particle swarm multi-target algorithm. According to the method disclosed by the invention, a membrane calculation optimization theory is combined with a particle swarm optimization algorithm and the uniformity and diversity of a crowding degree maintenance set are utilized; and a data object is optimized by using two objective functions of correlation and redundancy and application to in-pulse feature selection of a radar radiation source signal is carried out. According to the invention, with non-dominated sorting and a crowding distance mechanism in a skin membrane, rapid convergence of the multi-target particle swarm optimizationalgorithm is kept by the algorithm and the solution set has high diversity. And then with KUT and ZDT series test functions, comparison testing is carried out on the algorithm and MOPSO, SPEA2 and PESA2 algorithms. Therefore, rapid convergence to the real Pareto leading edge is realized and the provided algorithm is feasible and effective.