Zhang Neural Network Model for Solving LQ Decomposition Problem of Dynamic Matrix With Application to Mobile Object Localization

In this work, the LQ decomposition problem of dynamic matrix is investigated. First, by applying Zhang neural network (ZNN) method as well as the Kronecker-product and vectorization techniques, a ZNN model is proposed to solve the LQ decomposition problem of dynamic matrix. Then, two simulative examples are provided to verify the validity of the proposed ZNN model. Finally, an example of the mobile object localization based on the angle-of-arrival (AoA) technique is provided to illustrate the applicability of the proposed ZNN model.