Abstract
Blind source separation (BSS) is a process of separating and recovering a relatively independent target source signal from the observed multi-source mixed signal including interference and target. BSS uses the difference between the target echo signal and the interference signal to separate the echo signal from the interference signal, which can suppress the influence of the interference signal on the target echo, and can also extract the interference signal from the mixed signal. We can take more effective anti-interference measures by analyzing interference signals. In this paper, the blind source separation (BSS) method based on reciprocal decomposition is used to transform the mixed matrix and unmixing matrix estimation problem into the space-time parameter estimation problem of multi-source signals. Through the adaptive estimation of the space-time parameters of the source signal, the steering vector and its dual vector corresponding to the direction of the incoming wave are obtained, and the unmixing matrix is directly constructed to realize the effective decomposition of the signal.
Original language | English |
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Title of host publication | IET Conference Proceedings |
Publisher | Institution of Engineering and Technology |
Pages | 760-764 |
Number of pages | 5 |
Volume | 2020 |
Edition | 9 |
ISBN (Electronic) | 9781839535406 |
DOIs | |
Publication status | Published - 2020 |
Event | 5th IET International Radar Conference, IET IRC 2020 - Virtual, Online Duration: 4 Nov 2020 → 6 Nov 2020 |
Conference
Conference | 5th IET International Radar Conference, IET IRC 2020 |
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City | Virtual, Online |
Period | 4/11/20 → 6/11/20 |
Keywords
- BLIND SOURCE SEPARATION
- DUAL VECTOR
- INTERFERENCE SUPPRESSION