一种基于ITD算法的直扩信号检测算法

安金坤; 田斌; 孙永军; 易克初; 于全

doi:10.3724/SP.J.1146.2009.00587

一种基于ITD算法的直扩信号检测算法

doi: 10.3724/SP.J.1146.2009.00587

安金坤^{①②;田斌,},
田斌,
孙永军,
易克初,
于全

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出版历程
- 收稿日期: 2009-04-24
- 修回日期: 2009-11-23
- 刊出日期: 2010-05-19

An Algorithm for Direct Sequence Spread Spectrum Signal Detection Based on Intrinsic Time-scale Decomposition

摘要

摘要: 固有时间尺度分解(ITD)算法是一种局域波分解算法，该文对直接序列扩频信号ITD分解，提出了一种通过频域粗搜索和细搜索分别检测直扩信号码片速率和载波频率的快速算法。该算法以瞬时幅度作为分析参量，先设置截止频率对信号低通滤波处理，并通过引入伴随频率达到抑制噪声的目的，利用了固有时间尺度分解算法时频分辨率高，运算速度快的优势。仿真结果显示在-15dB信噪比下能够有效地检测出码片速率和载波频率。
- 信号检测; 固有时间尺度分解(ITD); 经验模态分解(EMD); 局域波分析; 直扩信号(DSSS)
Abstract: Intrinsic Time-scale Decomposition(ITD) algorithm is a kind of local wave analysis algorithm. In this paper, Direct Sequence Spread Spectrum (DSSS) signal is decomposed by ITD and a fast algorithm for detecting the chip rate and carrier frequency of direct spread spectrum signal is proposed according to coarse search and elaborate search in frequency domain separately. This method is based on the parameter of instant amplitude,where the signal is firstly low-pass filtered by a cut-off frequency and the noise is then eliminated by an incidental frequency. High time-frequency resolution and fast calculation speed of ITD algorithm are used in this algorithm. Simulation results show that this algorithm can detect chip rate and carrier frequency effectively when SNR is of -15dB.

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曾兴雯, 刘乃安, 孙献璞. 扩展频谱通信及其多址技术[M]. 西安: 西安电子科技大学出版社, 2004: 3-20.[2]Gardner W A. Spectral correlation of modulated signals: Part II digital modulation[J].IEEE Transactions on Communications.1987, 35(6):595-601[3]Gardner W A. Measurement of spectrum correlation[J].IEEE Transactions on Acoustics, Speech, and Signal Processing.1986, 34(5):1111-1123[4]杨敏军, 邱玲. 一种直扩信号的检测方法[J]. 计算机仿真, 2007, 24(9): 322-324.Yang Min-jun and Qiu Ling. A method of DS signal detection[J]. Computer Simulation, 2007, 24(9): 322-324.[5]金艳, 姬红兵, 罗军辉. 一种基于循环统计量的直扩信号检测与参数估计方法[J]. 电子学报, 2006, 34(4): 634-637.Jin Yan, Ji Hong-bing, and Luo Jun-hui. A cyclic-cumulant based method for DS-SS signal detection and parameter estimation[J]. Acta Electronica Sinica, 2006, 34(4): 634-637.[6]董占奇, 胡捍英, 于宏毅. 基于延迟相乘-相关及谱分析的直扩信号检测与符号周期、码片时宽估计分析[J].电子与信息学报.2008, 30(4):840-842浏览Dong Zhan-qi, Hu Han-ying, and Yu Hong-yi. The detection, symbol period and chip width estimation of DSSS signals based on delay-multiply,correlation and spectrum analysis [J]. Journal of Electronics and Information Technology, 2008, 30(4): 840-842.[7]赵知劲, 邬佳, 徐春云等. 基于四阶累积量的DSSS/QPSK信号检测方法研究[J]. 电子学报, 2007, 35(6): 1046-1049.Zhao Zhi-jin, Wu Jia, Xu Chun-yun, et al.. The study on the detection methods of DSSS/QPSK signal based on the fourth-order cumulants.[J]. Acta Electronica Sinica, 2007, 35(6): 1046-1049.[8]Frei M G and Osorio I. Intrinsic time-scale decomposition: time-frequency-energy analysis and real-time filtering of non-stationary signals[J].Proceedings of the Royal Society of London A.2006, 463(2078):321-342[9]Huang N E, Shen Z, and Long S R, et al.. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proceedings of the Royal Society of London A.1998, 454(1971):903-995[10]张海勇. 一种新的非平稳信号分析方法局域波分析[J]. 电子与信息学报, 2003, 10(25): 1327-1333.[11]Zhang Hai-yong. A new method for analyzing nonstationary signallocal wave analysis[J]. Journal of Electronics and Information Technology, 2003, 25(10): 1327-1333.

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