A novel TOA estimation method for unknown signal based on intra-pulse correlation accumulation

Jiacen Xu, Zhongyi Wang, Quanhua Liu, Lixiang Ren

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

This paper presents a novel low complexity time-of arrival (TOA) estimation method for unknown intra-pulse modulated signal under low SNR condition. The received signal is firstly pre-processed by delayed conjugate multiplication to reduce the intra-pulse modulation and get a rough range of the signal. Then a novel intra-pulse correlation accumulation method is applied to achieve a precise estimation of rising and falling edge. Simulations are conducted to show the feasibility of the method and evaluate the performance of estimation. Compared with existing methods, this novel method can achieve a better estimation result.

Original languageEnglish
Title of host publicationICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509027088
DOIs
Publication statusPublished - 22 Nov 2016
Event2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016 - Hong Kong, China
Duration: 5 Aug 20168 Aug 2016

Publication series

NameICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings

Conference

Conference2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016
Country/TerritoryChina
CityHong Kong
Period5/08/168/08/16

Keywords

  • Monte Carlo simulation
  • TOA estimation
  • low SNR
  • unknown signal

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