Analysis on an Improved Pseudo-Code Periodic Estimation Method for DSSS Signals

被引：0
作者：
Chuan, Feng [1 ]
Tao, Sui [1 ]
Fan, Zhou [1 ]
机构：
[1] Shenyang Ligong Univ, Sch Informat Sci & Engn, Shenyang, Liaoning, Peoples R China
来源：
IIP'17: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION PROCESSING | 2017年
基金：
中国国家自然科学基金;
关键词：
DSSS signals; Time domain autocorrelation method; averaging method; Pseudo-code period estimation;
D O I：
10.1145/3144789.3144800
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The DSSS signals are estimated to be difficult under low SNR conditions. In this paper, an improved DSSS signal pseudo-code period estimation method is proposed. It is based on the in-depth analysis of time domain autocorrelation estimation method. In this method, the DSSS signals are grouped by the averaging method, and then combined with the time domain autocorrelation estimation method. It reduces the influence of noise on the estimated performance and improve the SNR limit. The simulation results show that the effective estimation of the pseudo-code period is realized when the SNR is -15dB. Compared withthe cepstrum, it improves 7dB.
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页数：7
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