Abstract: This paper presents an integral constraint beamformer for overcoming the shortcomings in multi-point constraint beamforming that it requires much of the degree of freedom in the weight vector and that it is not robust to the suppression of interference. This is a two-objective optimization problem. To solve the problem, two methods are presented, which are the weighted method and the eigenspace method. Finally, the simulation result shows that the beamformer can reduce the use of teh degree of freeedom and can improve the robustness.

Key words: beamforming, integral constraint, two-objective optimization, weighted method, eigenspace method