Location-estimating, null steering (LENS) algorithm for adaptive array processing

Abstract

An adaptive multiple-tap frequency domain digital filter processes an input signal vector X from an plurality of spatially separated transducers that detect energy from a plurality of sources including a target energy source and at least one non-target energy source. The filter receives and processes the input signal vector X to attenuate noise from non-target sources and provides an output signal vector Y. Tap weights WN for the filter are selected by first parameterizing each of the tap weights WN, such that each of the tap weights WN is characterized by a vector of parameters βopt, and the solving for each parameter of the vector βopt by minimizing the expected power of the array output signal Y. A robustness-control transformation is then applied to the vector p to provide a robust vector βopt wherein the robustness-control transformation identifies and reduces target canceling components of the vector βopt while preserving non-target canceling components. Finally, the weight vector indicative of the filter tap weights is formed as a function of the vector βopt. Notably, the present invention separates the robustness constraining process from the beamforming power minimization, in contrast to prior art techniques which combine the robustness constraint into the beamforming power minimization. The present invention uses a direct and flexible robustness control mechanism to yield a beamformer that provides good performance and is robust to a wide variety of adverse conditions.

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