Blind estimation of signal in periodic long-code DSSS communications

This paper discusses blind estimation of periodic long-code (PLC) direct sequence spread spectrum (DSSS) signal. We model a PLC DSSS signal as equivalent to a multiuser short-code DSSS system. This enables us to exploit second-order statistics (SOS) to estimate users' spreading codes up to an i...

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Bibliographic Details
Published in2009 IEEE Sarnoff Symposium pp. 1 - 6
Main Authors Daneshmand, S., Aghaeinia, H., Tohidian, M., Jahromi, A.J.
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.03.2009
Subjects
AWGN channels
Bandwidth
Blind estimation
direct sequence spread spectrum
Information retrieval
Military communication
MIMO
Paper technology
periodic long code
Programmable control
Spread spectrum communication
Statistics
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Summary:This paper discusses blind estimation of periodic long-code (PLC) direct sequence spread spectrum (DSSS) signal. We model a PLC DSSS signal as equivalent to a multiuser short-code DSSS system. This enables us to exploit second-order statistics (SOS) to estimate users' spreading codes up to an inherent ambiguity matrix. Using the structure of the spreading codes of these virtual users and without further restricting assumptions, we will show that the ambiguity matrix can be estimated which would lead us to the extraction of spreading codes. Exploiting similar ideas, we will extend the proposed algorithm to blind estimation of the PLC DSSS signal in multipath environment. Finally, simulations are presented to demonstrate the superior performance of the proposed algorithm.
ISBN:9781424433810
1424433819
DOI:10.1109/SARNOF.2009.4850290