Direction of Arrival Estimation Algorithm Based on Radial Basis Function Neural Network
He Hong · Journal of Xuzhou Institute of Technology · 2012
Against the problem of the large amount of calculation and inability to track targeted sources real-time and to locate sources that are greater than the number of array elements number with traditional DOA estimation algorithm,a new direction of arrival estimation algorithm based on radial basis function neural network(RBFNN)in smart antenna is proposed in this paper.The proposed neural multiple-source tracking(N-MUST)algorithm is based on probabilistic neural network and general regression neural network to perform both detection and direction of arrival estimation.The model of neural network in direction of arrival estimation is established and trained in this paper.Simulation results,which compared the traditional algorithm and the new one,indicate that the direction of arrival estimation algorithm based on RBFNN implement multiple-source tracking exactly and fast.