Broadband interference cancelation using a bootstrapped approach

An approach for rejecting broadband interference from an unknown direction when received by an array of two sensors is presented. Two configurations of such an approach, termed bootstrapped-based algorithms, are presented. Both configurations perform perfect interference cancellation when the input signal-to-noise ratio is large enough, and do it much faster than the common LMS (least mean square) interference canceler. However, additive noise causes performance degradation to both. It is shown that no general claim can be made about the superiority of one of the configurations with respect to the other. The output signal-to-interference-plus-noise ratio depends on the spatial separation between the interference and the desired signal, as well as on the interference-to-noise ratio, in a different manner for both configurations. The authors provide guidelines for the choice of one or the other configuration in different scenarios.<>