Journal on Communications ›› 2013, Vol. 34 ›› Issue (3): 1-5.doi: 10.3969/j.issn.1000-436x.2013.03.001

• academic paper •     Next Articles

Robust beamforming based on the worst-case performance optimization with positive semi-definite constraints

Ding-jie XU,Rui HE,Feng SHEN   

  1. (College ofAutomation, Harbin Engineering University, Harbin 150001 China)
  • Online:2013-03-25 Published:2017-07-20
  • Supported by:
    The National Natural Science Foundation of China

Abstract:

For the robust adaptive beamforming problem of the gen l signal models, a robust beamforming algorithm based on the worst-case performance optimization with positive semi-definite constraints was proposed. A simple robust adaptive beamformer was derived by modeling and transforming. Not only an approximate closed-form solution to the optimal weight vector was derived with low complexity, but also the performance improvement could be obtained. The final simulation attests its effectiveness and correctness.

Key words: adaptive beamforming, worst-case performance optimization, general signal models, sitive semi-definite constraints

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