Ultrawideband Direction-of-Arrival Estimation Using Complex-Valued Spatiotemporal Neural Networks
Kotaro Terabayashi, Ryo Natsuaki, Akira Hirose · IEEE Transactions on Neural Networks and Learning Systems · 2014
We propose a direction of arrival (DoA) estimation method using a complex-valued neural network (CVNN) for ultrawideband (UWB) systems. We combine a complex-valued spatiotemporal neural network with power-inversion adaptive-array scheme for null-steering DoA estimation. Simulation and experiments demonstrate that the proposed method shows an estimation accuracy higher than that of conventional multiple signal classification method and a spectrum floor lower than that of real-valued neural network. These results suggest that the CVNN deals with signals more properly as wave information in the null synthesis in UWB systems.