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This paper discusses the application of a multi-layer perceptron network to estimate direction of arrival (DOA) using ant colony optimization (ACO) for training. ACO simulates the foraging behavior of ant colonies which manage to find the shortest path from nest to feeding source. This technique was originally developed for discrete optimization problems, but recent research efforts has led to some...
Direction of Arrival (DOA) estimation has turned out to be extremely vital by reason of recent developments in Spatial Division Multiple Access (SDMA) systems. Superresolution algorithms such as the Multiple Signal Classification (MUSIC) and neural networks have been approached to carry out DOA estimation. In this paper, a Multi-Layer Perceptron (MLP) network using Genetic Algorithm (GA) method for...
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