Narrowband interference detection technique based on modulation lapped transformation

Rugui Yao, Huani Nan, Lu Li, Geng Li, Ling Wang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

A novel interference detection algorithm based on adaptive threshold was proposed, in which the MLT (Modulation Lapped Transformation) data were used to perform interference detection processing based on double thresholds. The results show that proposed algorithm has better performance of interference detection processing, especially at high SNRs, than the other two algorithms, adaptive threshold algorithm and the traditional double-threshold algorithm. The proposed algorithm can reduce the false detection probability without interference and the detection probability of small interference at high SNRs while ensuring the detection probability of interference at low SNRs. The algorithm shows good performance of interference detection at a wide range of SNRs.

Original languageEnglish
Pages (from-to)4114-4121
Number of pages8
JournalZhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology)
Volume46
Issue number11
DOIs
StatePublished - 1 Nov 2015

Keywords

  • Direct spread spectrum system
  • Interference detection
  • Modulated lapped transform
  • Threshold

Fingerprint

Dive into the research topics of 'Narrowband interference detection technique based on modulation lapped transformation'. Together they form a unique fingerprint.

Cite this