Journal of Systems Engineering and Electronics ›› 2010, Vol. 21 ›› Issue (1): 1-8.doi: 10.3969/j.issn.1004-4132.2010.01.001

• ELECTRONICS TECHNOLOGY •     Next Articles

Approach to blind estimation of the PN sequence in DS-SS signals with residual carrier

Tianqi Zhang1,∗, Shaosheng Dai1, Guoning Ma2, Wei Zhang2, and Pu Miao1   

  1. 1. Chongqing Key Laboratory of Signal and Information Processing,Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China;
    2. Institute of Electronic Engineering, China Academy of Engineering Physics, Mianyang 621900, P. R. China
  • Online:2010-02-26 Published:2010-01-03
  • Supported by:

    This work was supported by the National Natural Science Foundation of China (10776040; 60602057), Program for New Century Excellent Talents in University (NCET), the Project of Key Laboratory of Signal and Information Processing of Chongqing (CSTC2009CA2003), the Natural Science Foundation of Chongqing Science and Technology Commission (CSTC2009BB2287), and the Natural Science Foundation of Chongqing Municipal Education Commission (KJ060509; KJ080517).

Abstract:

This paper presents an approach of singular value decomposition plus digital phase lock loop to solve the difficult problem of blind pseudo-noise (PN) sequence estimation in low signal to noise ratios (SNR) direct sequence spread spectrum (DS-SS) signals with residual carrier. This approach needs some given parameters, such as the period and code rate of PN sequence. The received signal is firstly sampled and divided into non-overlapping signal vectors according to a temporal window, whose duration is two periods of PN sequence. An autocorrelation matrix is then computed and accumulated by those signal vectors one by one. The PN sequence with residual carrier can be estimated by the principal eigenvector of the autocorrelation matrix. Further more, a digital phase lock loop is used to process the estimated PN sequence, it estimates and tracks the residual carrier and removes
the residual carrier in the end. Theory analysis and computer simulation results show that this approach can effectively realize the PN sequence blind estimation from the input DS-SS signals with residual carrier in lower SNR.