Blind estimation of long-code DSSS signals based on information symbol transition pattern
Wenlong Xia, Yuanping Zhou, Guo Qing-gong, Qingdang Meng · 2016
A novel efficient blind estimation method is proposed for long-code direct sequences spread spectrum signals. The core idea of the proposed method is to construct an information symbol transition pattern matrix to eliminate the information symbol time varying damage to the periodic structure of pseudo-noise sequences for long-code DSSS signals. Then eigenanalysis approach is employed to estimate the pseudo-noise sequence. Compared with the segment algorithm and the principal components analysis method, the proposed method outperforms the other two methods both in sample size and in estimation precision at low signal-to-noise ratios. Simulation results verify the effectiveness of the proposed method.