Wesley S. Leite, Rodrigo C. de Lamare, Yuriy Zakharov, Wei Liu, Martin Haardt
This paper introduces a variable window size spatial smoothing approach to improve direction of arrival estimation using sparse arrays, enhancing the performance and reducing complexity compared to traditional methods.
The research presents a new method for improving how we determine the direction of incoming signals using sparse arrays, which are collections of sensors spaced at irregular intervals. By adjusting the size of the 'window' used in the analysis, the method better separates the actual signals from noise, leading to more accurate results. This technique, called VWS Coarray MUSIC, is shown to work better and require less computational effort than previous methods. The study also provides guidelines on how to set the parameters for this new approach to ensure reliable performance.
