Adaptive Acquisition Threshold Algorithm Based on Mean Energy

Author

Han Yu ; Jia Guozhu

Author_Institution

Sch. of Econ. & Manage., Beihang Univ., Beijing, China

fYear

2013

fDate

21-23 Sept. 2013

Firstpage

634

Lastpage

637

Abstract

An adaptive acquisition threshold algorithm based on mean energy (MEAT) was proposed. Conditional probability of acquisition decision variable in MEAT was analyzed under the two hypotheses of synchronization and non-synchronization, and its false alarm probability and detection probability were deduced. Then simulation on Direct-Sequence Spread-Spectrum (DSSS) system using MEAT was made whose result shows the Constant False Alarm Rate (CFAR) characteristic of MEAT and the improvement of detection probability of MEAT relative to traditional fixed threshold algorithm.

Keywords

probability; spread spectrum communication; synchronisation; CFAR; DSSS; MEAT; acquisition decision variable; adaptive acquisition threshold algorithm; conditional probability; constant false alarm rate characteristic; detection probability improvement; direct-sequence spread-spectrum system; false alarm probability; mean energy; nonsynchronization hypothesis; synchronization hypothesis; Adaptation models; Algorithm design and analysis; Economics; Educational institutions; Fading; Signal processing algorithms; Signal to noise ratio; PN acquisition; adaptive threshold; direct-sequence spread-spectrum systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on

Conference_Location

Shenyang

Type

conf

DOI

10.1109/IMCCC.2013.141

Filename

6840531