Blind Estimation of Spreading Sequence based on the Wide Window and PAST Algorithm
- 10.2991/lemcs-15.2015.130How to use a DOI?
- Spreading sequence; Subspace tracking; Sliding window; Phase ambiguity; Blind estimation
The problem of blind estimation of spreading sequence is an important aspect in the context of spectrum surveillance, which the pseudo-random sequence used by the transmitter is unknown. In this paper, the approach of the spreading sequence recovery is proposed by using projection approximation subspace tracking (PAST) method and sliding window technique, when the received signal is sampled and divided into temporal windows, the size of which is double the pseudorandom sequence period. The calculation of the main eigenvector is only needed, and sliding window technique is used to realize the spreading sequence synchronization. The PAST method avoids the calculation of eigenvalue decomposition, the main way is to obtain the convergence weights in an iterative method. Therefore, it is easy to realize in hardware and has less computational cost. Experimental results show that the proposed method eliminates the problem of phase ambiguity and can provide a good estimation, even when the received signal is far below the noise level.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Min Li AU - Jinghong Xue AU - Bin Xu AU - Mengmeng Wang PY - 2015/07 DA - 2015/07 TI - Blind Estimation of Spreading Sequence based on the Wide Window and PAST Algorithm BT - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science PB - Atlantis Press SP - 667 EP - 671 SN - 1951-6851 UR - https://doi.org/10.2991/lemcs-15.2015.130 DO - 10.2991/lemcs-15.2015.130 ID - Li2015/07 ER -