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Algorithms for the selection of Direct Sequence Spread Spectrum Multiple Access (DS/SSMA) signature sequences | |
Author | Ruengwit Sirikuptakes |
Call Number | AIT RSPR no.TC-93-06 |
Subject(s) | Spread spectrum communications |
Note | A research submitted in partial fulfillment of the requirement for the degree of Master of Engineering |
Publisher | Asian Institute of Technology |
Abstract | Sorting algorithms have been proposed for finding subsets of Direct Sequence Spread Spectrum Multiple Access (DS/SSMA) signature sequences with small cross-correlation magnitudes. Two algorithms, the Discarding (DS)-Algorithm and the Enhancing (ES)-Algorithm, have been used to investigate the performance of the subset mean AIP value under worst case interference conditions. Based on an AIP testing criterion, the ES-Algorithm used in conjunction with the Maximum Sidelobe Energy (MSE) initial phase condition has successfully achieved smaller subset mean AIP values when the subset size is small. The Signal-to-Noise Ratio (SNR) is used as a measure at the correlator output. The SNR performance of mean AIP subsets using both algorithms is evaluated and compared with expected values for random binary sequences. |
Year | 1993 |
Type | Research Study Project Report (RSPR) |
School | School of Engineering and Technology (SET) |
Department | Department of Information and Communications Technologies (DICT) |
Academic Program/FoS | Telecommunications (TC) |
Chairperson(s) | O'Farrell, Timothy; |
Examination Committee(s) | Lochmann, Steffen;Alku, Paavo; |
Scholarship Donor(s) | Nokia Telecommunications; |
Degree | Research Studies Project Report (M.Eng.) - Asian Institute of Technology, 1993 |