Du, K.-L.; Lai, A. K. Y.; Cheng, K. K. M.; Swamy, M. N. S. Neural methods for antenna array signal processing: a review. (English) Zbl 0993.94002 Signal Process. 82, No. 4, 547-561 (2002). Summary: The neural method is a powerful nonlinear adaptive approach in various signal-processing scenarios. It is especially suitable for real-time application and hardware implementation. In this paper, we review its application in antenna array signal processing. This paper also serves as a tutorial to the neural method for antenna array signal processing. Cited in 1 Document MSC: 94A12 Signal theory (characterization, reconstruction, filtering, etc.) 68T05 Learning and adaptive systems in artificial intelligence 78A50 Antennas, waveguides in optics and electromagnetic theory 94D05 Fuzzy sets and logic (in connection with information, communication, or circuits theory) Keywords:software radio; beamforming; smart antenna; direction-of-arrival; multi-layer perceptron; backpropagation; Hopfield network; radial basis function network; principal component analysis; cross-relation network; antenna array signal processing; fuzzy neural network; neural method; nonlinear adaptive method PDFBibTeX XMLCite \textit{K. L. Du} et al., Signal Process. 82, No. 4, 547--561 (2002; Zbl 0993.94002) Full Text: DOI