The use of Characteristic Functions in the Multi-Frame Accumulation Algorithm

被引：0
|
作者：
Belokurov, Vladimir [1 ]
Koshelev, Vitaliy [1 ]
Kagalenko, Mikhail [1 ]
机构：
[1] Ryazan State Radioengn Univ, Dept Radiotech Syst, Ryazan, Russia
来源：
2019 8TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO) | 2019年
关键词：
multi-frame accumulation; characteristic functions; detection threshold; TRACK;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This work develops an analytical method of computing detection threshold for multi-frame accumulation. We propose to use characteristic functions for estimating the probability density of statistic on the input of threshold device. The proposed approach is evaluated using chi-squared criterion.
引用
收藏
页码：256 / 261
页数：6
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