EIGENANALYSIS FOR INTERFERENCE CANCELLATION WITH MINIMUM REDUNDANCY ARRAY STRUCTURE

In a previous work, the principles of the eigenanalysis method for int erference cancellation was studied for uniform regular array (URA) str ucture, wherein the array elements are equally spaced, The main object ive of this Paper is to extend the results of that work to adaptive ar rays with different geometry termed ''minimum redundancy array'' (MRA) . An efficient method is presented to solve the minimum variance optim ization problem and explicit analytical solutions are derived for the optimal weight-vector and output noise variance of the eigencanceler. Performance analysis of the general N-element array was first derived and used to extract the performance of MRA. URA is also considered as a special case. The closed-form equation depicts the minimum variance noise residue for the single interference, case, while an interactive procedure is suggested for the two interferences case. If there are mo re than two interferences, we propose to use direct numerical calculat ion.