Picture of flying drone

Award-winning sensor signal processing research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers involved in award-winning research into technology for detecting drones. - but also other internationally significant research from within the Department of Electronic & Electrical Engineering.

Strathprints also exposes world leading research from the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

Discover more...

Performance evaluation of optimal decoding schemes for tail biting convolutional codes in EDGE headers

Mzyece, M. and Dunlop, J. (2003) Performance evaluation of optimal decoding schemes for tail biting convolutional codes in EDGE headers. Electronics Letters, 39 (17). pp. 1280-1281. ISSN 0013-5194

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

The performance of several suboptimal decoding schemes for a tail biting convolutional code used in enhanced data rates for global evolution (EDGE) headers, compared with an optimal decoding scheme, is evaluated. An interference-limited cellular radio environment is considered. The impact of mobile speed is also assessed.