Strong Interference Environment Narrowband Signal Detection Filter Optimization Algorithm

ZHU Wen-zhong; JIANG Hua-long; ZHOU Shu-wen

Chinese

您当前的位置：

首页 >

文章列表页 >

Strong Interference Environment Narrowband Signal Detection Filter Optimization Algorithm

更新时间：2026-09-04

- Strong Interference Environment Narrowband Signal Detection Filter Optimization Algorithm
- Vol. 32, Issue 12, Pages: 151-154(2015)
- 作者机构：
  
  1. 1 四川理工学院机构计算机学院,四川,自贡,643000
  2. 2 江河流域生态环境的集成感知与应用院士(专家)工作站,四川,自贡,643000
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2015
- 稿件说明：
移动端阅览
朱文忠, 蒋华龙, 周述文. 强干扰环境下窄带信号检测滤波优化算法[J]. 微电子学与计算机, 2015, 32(12): 151-154,158.

ZHU Wen-zhong, JIANG Hua-long, ZHOU Shu-wen. Strong Interference Environment Narrowband Signal Detection Filter Optimization Algorithm[J]. 2015, 32(12): 151-154.
朱文忠, 蒋华龙, 周述文. 强干扰环境下窄带信号检测滤波优化算法[J]. 微电子学与计算机, 2015, 32(12): 151-154,158. DOI：

ZHU Wen-zhong, JIANG Hua-long, ZHOU Shu-wen. Strong Interference Environment Narrowband Signal Detection Filter Optimization Algorithm[J]. 2015, 32(12): 151-154. DOI：

摘要

提出一种新的强干扰环境下窄带信号检测滤波算法

通过检测滤波算法存在的问题

建立强干扰环境下的信号模型

对信号序列进行快速傅里叶变换及进行频域处理

对经频域处理后的信号再此进行快速傅里叶变换

获取频域中最强信号的幅度

并进行能量归一化处理和逆向频移

得到滤波后的原信号

实现强干扰环境下窄带信号的检测滤波.仿真实验结果表明

采用所提方法进行窄带信号检测得到的信号质量好

效率高.

Abstract

A new narrowband signal detection algorithm is put forward. The strong interference environment problems are solved by examining filtering algorithm

and strong interference environment signal model is set up. Fast Fourier transform of signal sequence and the frequency domain processing are finished. After the signal received the frequency domain processing

it experenced the fast Fourier transform

and the strongest signal amplitude was obtained. After filtering of the original signal

narrow-band signal was realized under strong interference environment detection filter. Simulation experimental results show that the proposed method is adopted to improve the narrowband signal detection of signals are of good quality and high efficiency.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A review of large model development: technological evolution from BERT to Deepseek

Aerial vehicle detection algorithm based on multi-scale fusion and small-object enhancement

Research on the design of blockchain-based AI-generated content traceability framework

Design of ultra-low power real-time clock circuits

A feature-oriented context understanding and slice analysis network for tuberculosis detection

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰