Adaptive wideband beamforming for smart antennas using only spatial signal processing

This article presents an adaptive beamformer for wideband smart antennas, capable of steering the main beam and nulls in azimuth in a noisy environment, by means of processing the signal only in the space domain, avoiding, in this way, tape-delay lines and frequency filters. This is known as fully spatial signal processing in which a two-dimensional antenna array operates as a spatial filter, processing the received signals with only weighting schemes. Earlier weighting schemes algorithms are not able to work properly in a noisy environment. In previous work we proposed a novel beamforming algorithm which employs a second order Kalman filter to efficiently synthesize the radiation patterns in a noisy environment; the algorithm was proven to work with up to three interference signals. In this work, the results obtained taking into account up to nine interference signals are presented.