Blind Estimation of LSC-DS-CDMA Signal Based on Matrix Completion and Triple Correlation
ZHAO Zhijin①② LI Miao① SHANG Junna①
①(School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China) ②(The 36 Research Institute of China Electronic Technology Corporation, Jiaxing 314033, China)
As the Long and Short Codes Direct Sequence Code Division Multiple Access (LSC-DS-CDMA) signal contains long and short PN codes of multi-user, the existing methods of PN codes blind estimation for the Direct Sequence Code Division Multiple Access (DS-CDMA) signal are no longer applicable. Then a pseudo random (PN) codes estimation method based on matrix completion and triple correlation is proposed. Firstly, LSC-DS-CDMA signal is represented as a matrix model with missing data for multi-user short code and the composite code matrix estimation is modeled as a blind source separation problem in the theory. Secondly, matrix completion theory is used to estimate the composite code subspace. A method of the composite code sequences estimation is proposed based on the singular value thresholding algorithm and Fast-ICA algorithm. Finally, the delayed triple correlation algorithm is presented to estimate the long and short PN codes from the composite code sequences based on the shift-and-add property of m sequence. Simulations show that the bit error rate of long and short codes sequences can be reduced to 0.1% when the SNR is above -2 dB.
赵知劲,李淼,尚俊娜. 基于矩阵填充和三阶相关的长短码DS-CDMA信号多伪码盲估计[J]. 电子与信息学报, 2016, 38(7): 1788-1793.
ZHAO Zhijin, LI Miao, SHANG Junna. Blind Estimation of LSC-DS-CDMA Signal Based on Matrix Completion and Triple Correlation. JEIT, 2016, 38(7): 1788-1793.
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