国防科技大学学报Issue(3)：150-155,6.DOI:10.11887/j.cn.201403027
空时频方位关联算法
Spatial-time-frequency direction association algorithm
摘要
Abstract
A novel spatial-time-frequency data association (STFDA)algorithm is proposed by taking advantage of the time-frequency separation between different frequency-hopping signals,which uses the time-frequency center as the basis of association.The time-frequency characteristics extracted from time-frequency analysis were used to design appropriate core function and construct a simplified TF-MUSIC algorithm.The Hungarian algorithm was incorporated in STFDA to search the best association scheme according to the cost functions from the time-frequency distance of different signals.Appropriate window function designed on time-frequency distance can prevent the side robe leakage from decreasing the precision of direction estimation,and improve the association correction probability.The simulation results confirm the feasibility and superiority of the proposed algorithm.关键词
双站测角交叉定位/时频特征提取/空时频方位关联Key words
dual-station cross location/time-frequency characteristic extraction/spatial-time-frequency direction association分类
信息技术与安全科学引用本文复制引用
卢树军,王世练,朱江,张尔扬..空时频方位关联算法[J].国防科技大学学报,2014,(3):150-155,6.基金项目
国防重点实验室基金资助项目 （）
