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- W2120229452 abstract "Interference rejection is very important and often represents an inexpensive way to increase the system capacity of cellular and mobile communication systems. This paper presents a modification to the radial basis function-based direction finding algorithm where the DOA problem is approached as a mapping which can be modeled by training the network with input output pairs with multiple angular separations. The network is then able to track a fixed number of sources with arbitrary angular separations using a linear array. A novel training technique is suggested and the performance of the RBFNN algorithm is compared to ideal data." @default.
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- W2120229452 date "2002-11-27" @default.
- W2120229452 modified "2023-09-26" @default.
- W2120229452 title "Multiple sources neural network direction finding with arbitrary separations" @default.
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- W2120229452 doi "https://doi.org/10.1109/apwc.1998.730646" @default.
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