Aimed at the scene of indoor strong barrier and low base-station deployment density

position fingerprint localization method based on near ultrasound is researched.Position fingerprint localization method based on near ultrasound time of arrival（TOA） information.TOA information fingerprint database with high precision based on hyperbolic frequency modulation signal is established.Combined with back propagation（BP） neural network and weighted K nearest neighbor（WKNN）

architectures of TOA-artificial neural network（ANN） and TOA-WKNN localization methods are proposed.The experimental results show that the TOA-ANN framework is superior to TOA-WKNN framework in complex indoor scenarios. By only using 2 sound source base-station probability of the positioning error of TOA-ANN positioning framework is less than 42 cm with 90 %

27 cm with 80 %

and 20 cm with 60 %. The proposed method can meet the needs of indoor positioning system for smart mobiles in strong barrier environment with low base station deployment density

and has good application and promotion value.