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Signal-to-noise-plus-interference ratio estimation and statistics for direct sequence spread spectrum code division multiple access communications

by Gupta, Amit

Abstract (Summary)
In this work, we provide analysis and the statistics of different signal to noise-plus-interference ratio (SNIR) estimators for direct sequence-code division multiplex access (DS-CDMA) systems. We study various data-aided (DA) SNIR estimators and compare their performance. We show that the performance of these estimators is excellent, and the signal quality estimates obtained from them can be calculated quickly and with less computational effort, than conventional SNR estimators. We investigate three different SNIR estimators that estimate 1. an average SNIR over a given (fixed) duration, with multiuser interference (MUI)measured from synchronous correlations, 2. an average of the instantaneous (per-bit) SNIR, 3. an average SNIR over a fixed duration, with MUI measured from asynchronous correlations. These estimators were compared with each other and the estimators were characterized on the basis of accuracy and speed. Our analysis and simulation results show that the DA estimators we investigated are fast and accurate. Also these estimators are less computation-intensive and easier to implement than the estimators that require correlations over whole signal in present communication systems.
Bibliographical Information:

Advisor:

School:Ohio University

School Location:USA - Ohio

Source Type:Master's Thesis

Keywords:signal to noise plus interference ratio estimation statistics direct sequence spread spectrum code division multiple access

ISBN:

Date of Publication:01/01/2004

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