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• W2914324069 abstract "Received signal strength indicator (RSSI) is often used in wireless localization applications as it attenuates as the signal propagates through the environment. Signal strength attenuation models allow distance to be estimated between transceivers and utilized in positioning techniques, such as trilateration and simultaneous localization and mapping (SLAM) algorithms. To evaluate these methods, it is costly and time consuming to construct hardware to physically test each implementation of an algorithm. However, simulating RSSI can prove difficult due the many environmental factors that impact attenuation, such as multipath interference. Simulating multipath effects require detailed information about the operating environment's properties (geometry, materials), and can be computationally expensive. This work describes a simulation method which procedurally generates RSSI values at given distances for wireless nodes utilizing collected data from a given environment type and a Markov chain. To demonstrate the effectiveness of this method, a range-only SLAM algorithm is simulated utilizing this environment." @default.
• W2914324069 created "2019-02-21" @default.
• W2914324069 creator A5002807837 @default.
• W2914324069 creator A5027446992 @default.
• W2914324069 date "2017-04-23" @default.
• W2914324069 modified "2023-09-25" @default.
• W2914324069 title "Procedurally generated environments for simulating RSSI- localization applications" @default.
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• W2914324069 doi "https://doi.org/10.5555/3107979.3107986" @default.
• W2914324069 hasPublicationYear "2017" @default.
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