信息工程大学学报2024，Vol.25Issue(2)：127-132,166,7.DOI:10.3969/j.issn.1671-0673.2024.02.001
一种重频分组雷达信号时差解模糊算法
Time Difference Resolution Fuzzy Algorithm for Repeated Frequency Grouped Radar Signals
尹超伟 1薄连坤 2熊瑾煜2
作者信息
- 1. 信息工程大学,河南郑州 450001
- 2. 盲信号处理国家级重点实验室,四川成都 610000
- 折叠
摘要
Abstract
Phased array radar has high-speed and flexible beam scheduling capabilities,and the widespread use of high repetition frequency design in signals results in a large number of uneven time difference blurring points in passive time difference estimation,which makes it difficult for ac-curate location.To solve time difference ambiguity,a time difference resolution ambiguity algorithm for repetitive grouped radar signals based on cluster grouping is proposed,which uses Kalman filter combined with probability correlation to make full use of the characteristics of repetitive frequency group variation of phased array radar signals at the time difference level,and combines multi-dimen-sional information such as Doppler frequency and multi-week information.Accordingly,the correc-tion of single time difference ambiguity can be done sequentially based on the two-station observation scene,thus obtaining the true time difference track of the target.The feasibility of the proposed method is verified by simulation.关键词
重频分组雷达/时差定位/Hough变换/卡尔曼滤波/高斯概率Key words
repeat frequency grouped radar/time difference positioning/Hough transformation/Kalman filter/Gaussian probability分类
信息技术与安全科学引用本文复制引用
尹超伟,薄连坤,熊瑾煜..一种重频分组雷达信号时差解模糊算法[J].信息工程大学学报,2024,25(2):127-132,166,7.
