Adaptive processing for beamforming with coherent interference using uniform circular arrays
Digital Signal Processing
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Signal cancellation causes the performance of conventional adaptive beamformers to severely deteriorate in environments containing interference sources that are correlated with the signal. We propose an algorithm which overcomes the signal cancellation problem for wideband signals. The proposed algorithm applies array manifold interpolation to perform frequency domain averaging, which reduces the correlation between the signals and the interference sources. In contrast to other algorithms that apply frequency averaging, the algorithm proposed does not require any preliminary estimation or prior information on the interference environment.