Abstract
Recently, the indoor positioning system based on the angle of arrival (AOA) has been widely concerned. The positioning system often contains two steps. The first step is the AOA estimation algorithm and the second step is the positioning algorithm using the estimated AOAs. However, due to the indoor signal multipath propagation, the AOA estimation errors can lower the positioning performance. To solve this problem, this paper proposes a novel angle of arrival (AOA) positioning algorithm which selects multiple candidate AOAs and selects the most reliable one from them. When multiple candidate AOAs are selected and passed into the positioning algorithm, multiple estimated locations can be obtained. To select the most reliable AOA, the location reliability prior information related to these estimated locations is introduced. The AOA with the maximum location reliability prior information is the final AOA estimation result and its corresponding estimated location is the final positioning result. The simulation results show that compared with the positioning algorithm which directly uses one AOA for positioning, the proposed positioning algorithm provides better positioning performance.
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