A Method for the Detection of DSSS-QPSK Signals Based on Wavelet Denoise

被引：0
|
作者：
Li, Dezhi [1 ]
Kong, Deyang [1 ]
Wu, Qun [1 ]
Su, Yanyong [1 ]
Ni, Yaoqing [1 ]
Lv, Haibo [1 ]
机构：
[1] Sch Harbin Inst Technol, Harbin 150000, Peoples R China
来源：
PROCEEDINGS OF THE 2016 5TH INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS AND COMPUTER SCIENCE | 2016年 / 80卷
关键词：
Direct sequence spread spectrum signal; Wavelet Noise Reduction; Estimation-based Time-domain Sliding Correlating Accumulation;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Nowadays, the Direct-Sequence Spread Spectrum (DSSS) technology has been widely used. It's urgent to research blind detection algorithms on DSSS signal. In this paper, a new method is proposed. It based on a combination of wavelet noise reduction and Estimation-based Time-domain Sliding Correlating Accumulation, which can be used to detect the DSSS-QPSK signal. The results show that when the length of spreading code is 15 bits and the Signal-to-Noise Ratio (SNR) is -12 dB, the method could easily detect whether the DS/SS-QPSK signal exists.
引用
收藏
页码：856 / 859
页数：4
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