Navy SONAR causes the deaths of beaked whales, so studying their abundance, behavior, and location near naval exercises is important for understanding how to help conserve these little-understood animals. They are most easily studied by the loud clicks they produce to echolocate prey, which can be detected by underwater receivers miles away. The software algorithms developed by our research team hinge on the detection of the same signal patterns at different times on multiple underwater receivers. We built on the existing methods outlined by Jarvis et al. (Marine Mammal Monitoring on Navy Ranges (M3R): A Toolset for Automated Detection, Localization, and Monitoring of Marine Mammals in Open Ocean Environments, 2014,  Marine Technology Society Journal. 48. 10.4031/MTSJ.48.1.1) Data from a master receiver are cross-correlated against all other receivers, and the lag of the highest peak is taken to be the time difference of arrival (TDOA) used to locate the whale. Unlike the Jarvis paper, our software included uncertainty measurements into all calculations, and did not select a “master” receiver, but instead considered all receivers to be the “master” receiver in turn, and compiled the resulting data. Our research team used a more complex algorithm to select the TDOA for each click pattern. In our simulated data, about 98% of the computed TDOAs contain the correct answer within their uncertainty bounds. The Visualizer then plots out the whale’s location in 3D. The speed of the plot rendering process is also drastically improved. The plotting program we wrote takes the 2D rectangles of the estimated whale position and finally plots the calculated whale positions in 3D within a few seconds. Our research this summer examines the possibilities of acoustic analysis of beaked whale calls, successfully associates TDOAs in simulation, and could be potentially applied to real acoustic data in whale protection.