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In this work, a simple and effective robust adaptive beamforming technique isproposed for uniform linear arrays, which is based on the power spectralestimation and uncertainty region (PSEUR) of the interference plus noise (IPN)components. In particular, two algorithms are presented to find the angularsector of interference in every snapshot based on the adopted spatialuncertainty region of the interference direction. Moreover, a power spectrum isintroduced based on the estimation of the power of interference and noisecomponents, which allows the development of a robust approach to IPN covariancematrix reconstruction. The proposed method has two main advantages. First, anangular region that contains the interference direction is updated based on thestatistics of the array data. Secondly, the proposed IPN-PSEUR method avoidsestimating the power spectrum of the whole range of possible directions of theinterference sector. Simulation results show that the performance of theproposed IPN-PSEUR beamformer is almost always close to the optimal valueacross a wide range of signal-to-noise ratios.

Study of Robust Adaptive Beamforming with Covariance Matrix Reconstruction Based on Power Spectral Estimation and Uncertainty Region