Preliminary results in B-spline enhanced source-tracking

Source-tracking algorithms typically require estimation of an array´s unknown correlation matrix. Time-averaging forms the basis of estimating the correlation matrix in most applications. This paper provides a preliminary investigation in the use of B-splines rather than time-averages to estimate the correlation matrix. The smooth, continuous character of splines can accurately match the behaviour of an array´s true correlation matrix. Preliminary results indicate tracking estimates based on the spline-fit correlation matrix improve smoothness over time-averaging methods and can have comparable or better accuracy. Furthermore, B-splines are computationally efficient and are easily adapted to near-real-time processing