NONITERATIVE SUBSPACE TRACKING

In this paper, we introduce a rank-one spherical subspace update that is appropriate for subspace based methods like MUSIC and minimum norm. This noniterative, highly parallel, numerically stabilized, subspace update is closely related to rank-one eigenstructure updating. However, a rank-one subspace update involves less computation than simple rank-one correlation accumulation. Moreover, the frequency tracking capabilities of the noniterative subspace update are virtually identical to and in some cases more robust than the more computationally expensive eigen-based methods.