Radar Signal Pre-sorting Based on Mean-Shift Algorithm

Radar signal pre-sorting, generally adopts a clustering algorithm, which can reduce the workload for the next main sorting. However, the traditional clustering algorithm is employed with inherent defects—strong stochasticity, poor robustness and burdensome computation. To reduce these limitations, the principle of K-Mean algorithm is studied to analyze its merits, and a pre-sorting model based on Mean-Shift (PSMS) algorithm is proposed. The sorting accuracy and performance of K-Means and Mean-Shift algorithms are analyzed by using the same batch of radar signals. Through computer simulation analysis, the conclusion is drawn that Mean-Shift algorithm has certain superiority and application value in radar signal pre-sorting.