Research of spatial filtering algorithms based on MATLAB

Fuxi Wu, Chuanjun Li, Xingcheng Li

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

1 Citation (Scopus)

Abstract

In order to solve the problem that the satellite signal power is very weak and susceptible to interference, try to use the spatial filtering algorithm to produce a deeper null in the direction of the interference signal, so as to suppress the interference. In this paper, we will compare the least mean square (LMS), normalized LMS (NLMS) and Recursive least square (RLS) adaptive algorithms for spatial filtering. Finally, the content of the study will be verified by simulation.

Original languageEnglish
Title of host publication2nd International Conference on Materials Science, Resource and Environmental Engineering, MSREE 2017
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735415683
DOIs
Publication statusPublished - 5 Oct 2017
Event2nd International Conference on Materials Science, Resource and Environmental Engineering, MSREE 2017 - Hubei Province, China
Duration: 27 Oct 201729 Oct 2017

Publication series

NameAIP Conference Proceedings
Volume1890
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference2nd International Conference on Materials Science, Resource and Environmental Engineering, MSREE 2017
Country/TerritoryChina
CityHubei Province
Period27/10/1729/10/17

Keywords

  • LMS
  • NLMS
  • RLS
  • Spatial Filtering Algorithm

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