Maja Sarevska

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Neural network-based smart antennas are used for the solution of multiple-source tracking problems in the area of wireless communications. The architecture of the neural network is constructed in two stages, one stage for signal detection and the other for angle of arrival (AOA) estimation. The best candidates for this type of problem are radial basis(More)
Neural networks (NNs) have proven to be a very powerful tool both for one-dimensional (1D) and two-dimensional (2D) direction of arrival (DOA) estimation. By avoiding complex and time-consuming mathematical calculations, NNs estimate DOAs almost instantaneously. This feature makes them very convenient for real-time applications. Further, unlike the well(More)
This paper considers the joint application of neural networks and antenna array systems in mobile, satellite and sensor systems. The main assumption is that there is a possibility of a large number of neurons in the network according the fact that the human brain uses a huge number of neurons. Results of detail analyze for signal detection, direction of(More)
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