星载电子侦察快速聚类分选算法设计与仿真

Design and Simulation of Fast Clustering and Sorting Algorithm on Satellite-borne Electronic Reconnaissance System

详细阐述了聚类分选算法的基本原理和实施步骤,在此基础上提出了一种快速聚类分选算法。该算法基于窄带搜索的思想,利用相邻搜索周期同一驻留频带内目标分布具有较强相关性的特点,结合已经处理得到的信息来辅助和简化当前周期的信号分选过程,提高了算法的实时性和可靠性。通过数字仿真,验证了算法的有效性。

Basic principle and execution steps of clustering and sorting algorithm are introduced carefully.A kind of fast clustering and sorting technology is proposed.This technology,based on the concept of narrow band search,makes use of the characteristics that there are strong correlations between the distributions of objects in the adjacent search periods and the same resident frequency bands and the data obtained and processed to help and simplify the signal sorting process in the current period so as to improve real-time capability and reliability.By digital simulation,the performance of the algorithm is explored and the validity of the algorithm is proved successfully.