基于自适应谱峰搜索的脉冲重复间隔最大似然估计
Yuhang Xuebao/Journal of Astronautics(2012)
Abstract
高精度的脉冲重复间隔(PRI)估计对于提高现代电子情报(ELINT)系统的辐射源识别能力具有重要意义.将观测的脉冲到达时间(TOA)序列建模成点过程信号,其周期图谱谱峰就对应于PRI的最大似然估计(MLE).本文提出了一个“两步数值搜索”策略,可以确保搜索到谱峰而达到MLE.仿真表明,在低信噪比以及高脉冲丢失率条件下,本文算法性能远超已有算法.
MoreTranslated text
Key words
Maximum likelihood estimation,Period estimation,Periodic point process,Pulse repetition interval,Radar
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined