ROBUST BEAMFORMING ALGORITHM BASED ON CONVEX OPTIMIZATION MULTIPLIER METHOD
IET Conference Proceedings, ISSN: 2732-4494, Vol: 2020, Issue: 9, Page: 709-713
2020
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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.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
Conference Paper Description
The performance of adaptive beamforming will degrade dramatically in practical application due to angle estimation error in interference signal. Therefore, a robust adaptive beamforming method based on convex optimization multiplier is proposed in this paper. In the proposed method, the DOA information of the interfering signal is firstly calculated using MUSIC algorithm. Then the spatial smoothing algorithm is used to de-correlate. In the following, the cost function is constructed by the Lagrange multiplier method. Finally, a set of optimal weight vectors can be obtained through iteration. Simulation results show that the proposed method can effectively reduce the effect of angle estimation error in interference signal.
Bibliographic Details
Institution of Engineering and Technology (IET)
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