Acoustic waves provide a wealth of information about their source and the environment in which they propagate. For large structures, it is sometimes desirable to use acoustic remote sensing methods to collect structure-borne sound because the microphone array and structure can then be maintained separately. Traditional time-of-flight array signal processing techniques used to localize acoustic sources are ill-suited for structures due to the potential for complicated propagation paths, the dispersive propagation of acoustic waves in structures, and the coupling of the vibrating structure and surrounding medium. Thus, source localization experiments were conducted using Matched Field Processing for a 6.4-mm thick circular aluminum plate excited by the impact of a 12.7-mm-diameter stainless-steel ball bearing dropped from 76-mm above the plate. This impulsive excitation of the plate contained frequencies between 0 and 5 kHz, resulting in wave speeds in the plate up to approximately 550 m/s. A linear array of 14 microphones with 51-mm spacing located 90-mm above the plate was placed in a random location such that it was not centered over the plate. Source localization results in both a quiet environment and an environment with additive white Gaussian noise are presented. [Sponsored by a SMART Scholarship, and the NEEC.]