Failed Sensor Localization Using Amplitude-Only Near-Field Data

Phase measuring is cumbersome and expensive, especially when operation frequency of array is high. To avoid phase measuring, a novel failed sensor localization algorithm using amplitude-only near-field data is proposed. In perspective of Bayesian theory, the maximum
a posteriori
estimation of array excitation leads to a mixed-norm minimization problem subject to a quadratic constraint. Iterative procedure based on alternating directions method of multipliers is used to solve this problem. Computer simulations show that the proposed algorithm is able to give accurate estimation of array excitation and precisely locate the failed sensors of the array using amplitude-only near-field data.