基于平均能量的自适应采集阈值算法

2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control Pub Date : 2013-09-21 DOI:10.1109/IMCCC.2013.141

Han Yu, Jia Guozhu

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引用次数: 2

摘要

提出了一种基于平均能量(MEAT)的自适应采集阈值算法。在同步和非同步两种假设下，分析了获取决策变量的条件概率，推导了其虚警概率和检测概率。然后对直接序列扩频(DSSS)系统进行了仿真，结果表明了MEAT算法具有恒定虚警率(CFAR)的特点，并且相对于传统的固定阈值算法提高了MEAT算法的检测概率。

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Adaptive Acquisition Threshold Algorithm Based on Mean Energy

An adaptive acquisition threshold algorithm based on mean energy (MEAT) was proposed. Conditional probability of acquisition decision variable in MEAT was analyzed under the two hypotheses of synchronization and non-synchronization, and its false alarm probability and detection probability were deduced. Then simulation on Direct-Sequence Spread-Spectrum (DSSS) system using MEAT was made whose result shows the Constant False Alarm Rate (CFAR) characteristic of MEAT and the improvement of detection probability of MEAT relative to traditional fixed threshold algorithm.

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来源期刊

2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control

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