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 language | English |
|---|---|
| Title of host publication | 2nd International Conference on Materials Science, Resource and Environmental Engineering, MSREE 2017 |
| Publisher | American Institute of Physics Inc. |
| ISBN (Electronic) | 9780735415683 |
| DOIs | |
| Publication status | Published - 5 Oct 2017 |
| Event | 2nd International Conference on Materials Science, Resource and Environmental Engineering, MSREE 2017 - Hubei Province, China Duration: 27 Oct 2017 → 29 Oct 2017 |
Publication series
| Name | AIP Conference Proceedings |
|---|---|
| Volume | 1890 |
| ISSN (Print) | 0094-243X |
| ISSN (Electronic) | 1551-7616 |
Conference
| Conference | 2nd International Conference on Materials Science, Resource and Environmental Engineering, MSREE 2017 |
|---|---|
| Country/Territory | China |
| City | Hubei Province |
| Period | 27/10/17 → 29/10/17 |
Keywords
- LMS
- NLMS
- RLS
- Spatial Filtering Algorithm
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Wu, F., Li, C., & Li, X. (2017). Research of spatial filtering algorithms based on MATLAB. In 2nd International Conference on Materials Science, Resource and Environmental Engineering, MSREE 2017 Article 040053 (AIP Conference Proceedings; Vol. 1890). American Institute of Physics Inc.. https://doi.org/10.1063/1.5005255