电讯技术2016，Vol.56Issue(5)：557-561,5.DOI:10.3969/j.issn.1001-893x.2016.05.014
基于离散傅里叶变换的高动态突发信号检测及频率估计
Signal Detection and Frequency Estimation of High Dynamic Burst Signals Based on Discrete Fourier Transform
刘洋1
作者信息
- 1. 中国西南电子技术研究所，成都610036
- 折叠
摘要
Abstract
Considering the high dynamic features in burst transmission system,this paper presents a new al-gorithm of signal detection and frequency estimation based on frequency domain. This algorithm can per-form presence detection and frequency estimation through one discrete Fourier transform( DFT) operation of the received signal. Comparisons are made with the Power-Law algorithm. Simulation results prove that the signal-to-noise ratio(SNR) threshold is improved more than 1 dB when SNR is low,the root mean square error(RMSE) of frequency estimation is lower than 1‰ of the symbol rate,and the probability of detection and accuracy of frequency estimation is influenced little by the variation of power level and fre-quency offset. It is convenient for real time processing and engineering applications.关键词
高动态突发信号/信号检测/离散傅里叶变换/频率估计Key words
high dynamic burst signal/signal detection/discrete Fourier transform/frequency estimation分类
信息技术与安全科学引用本文复制引用
刘洋..基于离散傅里叶变换的高动态突发信号检测及频率估计[J].电讯技术,2016,56(5):557-561,5.
