Spatial rangefinding and spectral resolution of df/dt

Wavefront curvature due to the finite distance between a source and an array of sensors, or due to the df/dt of a time-sampled signal, can lead to errors and loss of resolution in the respective angular and frequency spectra when such signals processed with high resolution algorithms such as MUSIC. The paper quantifies the effect of such errors, and describes how by appropriately defining the `array manifold´ or `steering´ vectors, not only may the effects be eliminated, but the distance of a source from an array of sensors, or the df/dt may be solved for in addition to angle of arrival of frequency. The results for spatial rangefinding are based on simulations, while the results for resolution of df/dt are based on both simulated and experimental data