Combat effectiveness is increased by decreasing uncertainty through shared situational awareness SA at all levels of command. A system that provides immediate knowledge of subordinates locations and azimuths of fire when engaging the enemy increases the small-unit leaders SA, facilitating his coordination and execution of a course of action. In this thesis, such a system was prototyped using commercial-off-the-shelf components related to the systems functional areas of shot identification, orientation, localization, data processing, and mapping. The primary focus of this project was the development of a shot-identification algorithm utilizing data collected from inertial sensors attached to Armalite Rifle 15 AR15 variant weapons. In spite of under-sampling limitations, the shot-identification algorithm was successful in classifying shots taken with three different AR15 rifles by six different shooters using a variety of stances and multiple engagement techniques. The full system was tested successfully with two rifle nodes passing localization and firing azimuth data in response to a simulated shot. This information passed over the Naval Postgraduate School network to a separate command operations center node where it was mapped in Google Earth.