Abstract

A novel algorithm is proposed for blind estimation of the spreading sequence in direct-sequence spread-spectrum (DSSS) communication systems. This algorithm is based on the maximum likelihood decision rule. Due to high computational complexity, the maximum likelihood method is feasible only for spreading sequence with very short periods. The novel algorithm has two steps for estimation. At first, a prior estimation of the spreading sequence is obtained via a simple algorithm which has a very low computational complexity. In the second step, using the prior estimation and the maximum likelihood decision rule, the estimation accuracy increases greatly. The proposed algorithm can reach the performance of the eigen value decomposition (EVD) method with low computational complexity.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.