An H/sup /spl infin// approach to mitigate the effects of array uncertainties on the MUSIC algorithm

In this letter, a novel robust technique is proposed to mitigate the degrading effects of finite sampling and imprecise modeling on the performance of the multiple signal classification (MUSIC) algorithm, Initially, a new array-signal state space model is developed, which is valid for any array geometry. Based on this model, formulated in an H/sup /spl infin// framework, a new robust direction-finding approach has been proposed. This theoretical framework is supported by simulation examples that demonstrate the robustness of the new technique to the presence of array uncertainties and signal correlation.