Adaptive Filtering to Locate Signal Sources in Different Environments

被引：0
|
作者：
Ivanov, Mikhail [1 ]
Timoshenko, Aleksandr [1 ]
Sokolov, Maksim [1 ]
Savockin, Aleksander [1 ]
机构：
[1] Natl Res Univ Elect Technol, Moscow, Russia
来源：
PROCEEDINGS OF THE 2019 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (EICONRUS) | 2019年
关键词：
location; sonar; acoustics; adaptive filter; root mean square; underwater; acoustics noise;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Passive location in the air and underwater environment is rapidly developing directions today. The main problem caused by specific external noise. Configurable model of generators of the most probable noise signals in the frequency ranges from 15 kHz to 270 kHz and from 1 kHz to 23 kHz based on the analysis of possible noise sources for hydro and acoustic systems relatively. Scalable system of adaptive filters to identify the desired signal in an environment with a variable background noise made by this model of noise signals. The simulation results presented to illustrate the efficiency of this method in passive hydro and acoustic locations. Because this filter system allows minimizing the effect of changing background noise on the received signal and it is configurable for different sampling rates.
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页码：1497 / 1500
页数：4
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