On the Classification of Large Area Sequences
| Document type: | Conference Papers |
|---|---|
| Peer reviewed: | Yes |
| Author(s): | Gregory Cresp, Hans-Jürgen Zepernick, Hai Huyen Dam |
| Title: | On the Classification of Large Area Sequences |
| Conference name: | IEEE Information Theory Workshop |
| Year: | 2007 |
| Pagination: | 153-157 |
| ISBN: | 1-4244-1199-8 |
| Publisher: | IEEE |
| City: | Bergen |
| Organization: | Blekinge Institute of Technology |
| Department: | School of Engineering - Dept. of Signal Processing (Sektionen för teknik – avd. för signalbehandling) School of Engineering S- 372 25 Ronneby +46 455 38 50 00 http://www.tek.bth.se/ |
| Authors e-mail: | crespg@watri.org.au, hans-jurgen.zepernick@bth.se, dam@watri.org.au |
| Language: | English |
| Abstract: | Large Area (LA) sequences form a class of ternary spreading sequences which exhibit an interference free window. In addition, these sequences have low correlation properties outside this window. Work to date has concentrated on examining the parameters and performance of LA sequences with reference to only a small number of example families. In this paper we develop general conditions which an LA family must satisfy. The development of these conditions allows for the production of computationally efficient tests to determine whether a given family is an LA family. In particular, these tests can form the basis for algorithms to construct LA families, allowing for a larger number of families with the potential for higher energy efficiency than those of previous work. |
| Subject: | Telecommunications\General |
