Performance Analysis of Single Frequency Signal Detection Algorithm Based on Segment Processing in Time Domain

ZOU Shi-xi; PENG Hua-fu; MAN Xin; WEI Jiao-long

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Performance Analysis of Single Frequency Signal Detection Algorithm Based on Segment Processing in Time Domain

更新时间：2026-09-04

- Performance Analysis of Single Frequency Signal Detection Algorithm Based on Segment Processing in Time Domain
- Vol. 34, Issue 4, Pages: 60-64(2017)
- 作者机构：
  
  1. 华中科技大学电子信息与通信学院,湖北,武汉,430074
  2. 海军工程大学电子工程学院,湖北,武汉,430033
- 作者简介：
- 基金信息：
- DOI：
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- Published：2017
- 稿件说明：
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邹时禧, 彭华甫, 满欣, 魏蛟龙. 基于时域分段处理的单频信号检测算法分析[J]. 微电子学与计算机, 2017, 34(4): 60-64.

ZOU Shi-xi, PENG Hua-fu, MAN Xin, et al. Performance Analysis of Single Frequency Signal Detection Algorithm Based on Segment Processing in Time Domain[J]. 2017, 34(4): 60-64.
邹时禧, 彭华甫, 满欣, 魏蛟龙. 基于时域分段处理的单频信号检测算法分析[J]. 微电子学与计算机, 2017, 34(4): 60-64. DOI：

ZOU Shi-xi, PENG Hua-fu, MAN Xin, et al. Performance Analysis of Single Frequency Signal Detection Algorithm Based on Segment Processing in Time Domain[J]. 2017, 34(4): 60-64. DOI：

摘要

首先对基于时域分段处理的单频信号检测方法进行了理论分析

然后结合计算机仿真

分析了信号频率、分段长度、采样率、分段个数等参数对算法性能产生的影响

最后提出了检测性能最佳时参数选择的标准

为该算法的实际应用提供了有益的参考依据.

Abstract

In this paper

we analyze the performance of the single frequency signal detection method based on segment processing in time domain from both theory and computer simulation

which illustrates the impact of parameters such as signal frequency

segment length

sampling rate and segment number on detection performance

and gives out the criterion of optimal parameter selection for the practical application of the algorithm.

关键词

Keywords

references

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Chang Y, Hao Y, Li C. Phase dependent and independent frequency identification of weak signals based on duffing oscillator via particle swarm optimization[J]. Circuits, Systems, and Signal Processing, 2014, 33(1): 223-239. DOI: 223

李启虎, 李敏, 杨秀庭. 水下目标辐射噪声中单频信号分量的检测: 数值仿真[J]. 声学学报, 2008, 33(4): 289-293. DOI: 289

Shi P M, Ding X J, Han D Y. Study on multi-frequency weak signal detection method based on stachastic resonance tuning by multi-scale noise[J]. Measurement, 2014, 47: 540-546. DOI: 540

Georgoulas G, Loutas T, Stylios C D, et al. Bearing fault detection based on hybrid ensemble detector and empirical mode decomposition[J]. Mechanical Systems and Signal Processing, 2013, 41(1): 510-525. DOI: 510

李启虎, 李敏, 杨秀庭. 水下目标辐射噪声中单频信号分量的检测: 理论分析[J]. 声学学报, 2008, 33(3): 193-196. DOI: 193

刘红星, 林京, 屈梁生, 等. 信号时域平均处理中若干问题探讨[J]. 振动工程学报, 1997, 10(4): 446-450. DOI: 446

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