DTMB and FM Signals Indoor Fingerprint Positioning System Based on Compressive Sensing

Location-based services have become an indispensable part of people’s daily lives. GNSS can provide favorable outdoor location services, but it cannot meet the needs of indoor positioning. This paper proposes an indoor localization fingerprint system using DTMB and FM signals, which consists of offline and online stages. In the offline stage, the Received Signal Strength of the Reference Points is measured in the experimental area, and the data acquisition amount is reduced by Compressive Sensing theory. In the online stage, the coordinates of Test Points are reconstructed by using Compressive Sensing algorithm. The experiments show that the average positioning accuracy of the DTMB and FM signal indoor positioning system based on Compressive Sensing is about 2.14 m. The proposed system has larger coverage and lower cost, which can meet the actual indoor positioning requirements.