Blind array signal separation and DOA estimation method based on eigenvalue decomposition
Signal, Image and Video Processing, ISSN: 1863-1711, Vol: 15, Issue: 6, Page: 1107-1113
2021
- 3Citations
- 1Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
This paper presents a method for blind separation and DOA estimation of narrow-band independent signals based on eigenvalue decomposition. It can effectively improve the blind separation performance of array mixed signals under the condition of low signal-to-noise ratio. At the same time, the DOA of the separated signal is estimated. It is of great significance to improve the adaptability of array system in complex electromagnetic signal environment.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85100167224&origin=inward; http://dx.doi.org/10.1007/s11760-020-01837-7; https://link.springer.com/10.1007/s11760-020-01837-7; https://link.springer.com/content/pdf/10.1007/s11760-020-01837-7.pdf; https://link.springer.com/article/10.1007/s11760-020-01837-7/fulltext.html; https://dx.doi.org/10.1007/s11760-020-01837-7; https://link.springer.com/article/10.1007/s11760-020-01837-7
Springer Science and Business Media LLC
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