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可变阈值因子的快速自适应门限检测算法

张波 郭英 侯文林 张东伟

华中科技大学学报(自然科学版)Issue(8):62-65,122,5.
华中科技大学学报(自然科学版)Issue(8):62-65,122,5.DOI:10.13245/j.hust.150813

可变阈值因子的快速自适应门限检测算法

Fast adaptive threshold detection algorithms based on variable threshold coefficient

张波 1郭英 2侯文林 1张东伟3

作者信息

  • 1. 空军工程大学信息与导航学院,陕西西安710077
  • 2. 空军航空大学信息对抗系,吉林长春130022
  • 3. 通信网信息传输与分发技术重点实验室,河北石家庄050081
  • 折叠

摘要

Abstract

Aiming at the problem that the caculation cost of adaptive threshold detection algorithms based on sorting is high ,and the real‐time indicator of detecting bursting signal cannot be satisfied ,a quick adaptive threshold detection algorithm was proposed ,in which the sorting estimation of noise energy was replaced by the variable k th smallest value .Instead of sorting the complete sequencing test statistic ,the propoccd quick‐sort method with few iterations was adopted to get the k th smallest value ,w hich con decreases calculation cost and realize the quick estimation of noise energy .Setting the k th smallest value as a parameter and being combined with the variable threshold coefficient ac‐cordingly could detect the signal quickly with the adaptive threshold .Detection probability ,false a‐larm probability and algorithm complexity were analyzed in theory and then the last two indexes above were compared with corresponding ones in the adaptive threshold detection algorithm with sorting method .The simulation results reveal that detection probability is in basically parallel with that of the detection algorithm and false alarm probability reduces in the presence of signal ,while false alarm probability reduces as the k enlarges in the absence of signal with the same threshold coefficient .

关键词

突发通信/自适应门限/快速排序/检测概率/虚警概率/检测算法

Key words

burst communication/adaptive threshold/quick-sort/detection probability/false alarm probability/detection algorithms

分类

信息技术与安全科学

引用本文复制引用

张波,郭英,侯文林,张东伟..可变阈值因子的快速自适应门限检测算法[J].华中科技大学学报(自然科学版),2015,(8):62-65,122,5.

基金项目

通信网信息传输与分发技术重点实验室开放课题资助(ITD-U12003/K1260009);航空基金资助项目(20112096016). ()

华中科技大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1671-4512

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