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We present an indoor acoustic simulation framework that supports bothultrasonic and audible signaling. The framework opens the opportunity for fastindoor acoustic data generation and positioning development. The improvedPyroomacoustics-based physical model includes both an image-source model (ISM)and ray tracing method to simulate acoustic signaling in geometric spaces thatextend typical shoe-box rooms. Moreover, it offers the convenience tofacilitate multiple speakers and microphones with different directivitypatterns. In addition to temperature and air absorption, the room reverberationis taken into account characterized by the RT60 value or the combination ofbuilding materials. Additional noise sources can be added by means of postprocessing and/or extra speakers. Indoor positioning methods assessed insimulation are compared with real measurements in a testbed, called 'Techtile'.This analysis confirms that the simulation results are close to themeasurements and form a realistic representation of the reality. The simulationframework is constructed in a modular way, and parts can be replaced ormodified to support different application domains. The code is made availableopen source.

An Acoustic Simulation Framework to Support Indoor Positioning and Data Driven Signal Processing Assessments