An Algorithm for Direct Sequence Spread Spectrum Signal Detection Based on Intrinsic Time-scale Decomposition
An Jin-kun①②; Tian Bin①②; Sun Yong-jun①; Yi Ke-chu①; Yu Quan③
①State Key Lab of Integrated Service Networks, Xidian University, Xi'an 710071, China; ②National Laboratory of Information Control Technology for Communication System, No.36 Research Institute of CETC, Jiaxing 314001, China; ③Institute of China Electronics Equipment System Engineering Corporation, Beijing 100039, China
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.
安金坤; 田 斌; 孙永军; 易克初; 于 全. 一种基于ITD算法的直扩信号检测算法[J]. 电子与信息学报, 2010, 32(5): 1178-1182 .
An Jin-kun①②; Tian Bin①②; Sun Yong-jun①; Yi Ke-chu①; Yu Quan③. An Algorithm for Direct Sequence Spread Spectrum Signal Detection Based on Intrinsic Time-scale Decomposition. , 2010, 32(5): 1178-1182 .
2010, Vol. 32 
