Neural structure for direction finding with sensor array uncertainties

This paper presents an auto-calibration technique to estimate the DOAs of unknown signals in the presence of sensor gain and phase errors. Compared with other auto-calibration algorithms, this algorithm is computationally more efficient, and has a unique solution for a linear array with the imposed constraints. Furthermore, the complex computation in the objective likelihood gradients is performed by neural networks. An analogue scheme …