— This paper addresses the problem of localizing a source from noisy time-of-arrival measurements. In particular, we are interested in the optimal placement of M planar sensors so as to yield the best expected source location estimate. The main result, on maximizing the expected determinant of the Fisher information matrix for truncated, radially-symmetric source distributions, shows two features not previously observed. First, sensors should be placed as far from the expected source position as possible. Second, sensors should be arranged in a splay configuration in which neighboring sensors are separated by equal angle increments. Specific examples are given for point, uniform, and truncated-Gaussian source density functions.
Jason T. Isaacs, Daniel J. Klein, João Pedr