A Joint Blind-Neural Approach for Adaptive Antenna Array in GPS Interference Mitigation

"This work addresses the application of blind adaptive antenna arrays for GPS in order to achieve interference cancellation, by means of the minimization of the Signal-to-Interference Ratio (SIR), which enables more accurate estimation for the user position. Two structures for adaptive antenna array are investigated, using the blind generalized constant modulus algorithm (GCMA). The first one is a pipeline structure and the second one is a hybrid solution, involving a multilayer perceptron neural network. The proposed hybrid technique is presented in two different configurations and compared with the original pipeline structure. Simulations consider a critic realistic GPS situation, pointing out the effectiveness of the hybrid approach in terms of radiation patterns and dynamic convergence."