A method for high-dynamic DS-FH signal simulation based on high-order DDS

Xuxin Zhang, Ju Wang

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

Abstract

The traditional GNSS (Global Navigation Satellites System) signal simulation method cannot be applied to the DS-FH signal directly for the carrier frequency is hopping. Especially under high-dynamic conditions, it increases the difficulty to precisely simulate Doppler shift and synthesize real-time signal phase for DS-FH (Direct Sequence-Frequency Hopping) signal simulation. In this paper, the high-dynamic DS-FH signal model is demonstrated and the approach to generate hopping frequency is discussed. Then the high-order DDS (direct digital synthesis) model and its parameter design criteria are provided. Simulation results indicate that the method is effective to simulate the high-dynamic DS-FH signal.

Original languageEnglish
Title of host publication2017 4th International Conference on Systems and Informatics, ICSAI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1330-1335
Number of pages6
ISBN (Electronic)9781538611074
DOIs
Publication statusPublished - 28 Jun 2017
Event4th International Conference on Systems and Informatics, ICSAI 2017 - Hangzhou, China
Duration: 11 Nov 201713 Nov 2017

Publication series

Name2017 4th International Conference on Systems and Informatics, ICSAI 2017
Volume2018-January

Conference

Conference4th International Conference on Systems and Informatics, ICSAI 2017
Country/TerritoryChina
CityHangzhou
Period11/11/1713/11/17

Keywords

  • DS-FH signal
  • direct digital synthesis
  • error control
  • high-dynamic

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Zhang, X., & Wang, J. (2017). A method for high-dynamic DS-FH signal simulation based on high-order DDS. In 2017 4th International Conference on Systems and Informatics, ICSAI 2017 (pp. 1330-1335). (2017 4th International Conference on Systems and Informatics, ICSAI 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSAI.2017.8248492