ADS - accurate decoding of RFID tags at scale.

RFID tags are popular as they are inexpensive and batteryless. These tags are used for tracking and monitoring of objects within a short-range. According to recent studies, such applications can save billions of dollars in shopping malls, airports, and warehouses. However, the existing works failed to decode a large number of RFID tags due to their poor scalability and accuracy. This poor performance is the result of the estimation technique used by the existing solutions. ADS proposes an estimation technique that is highly accurate and scalable. ADS uses multiple frequencies in the excitation signal to receive packets from tags. It helps us to utilize the channel independence across several frequencies but reduces the communication range. By exploiting the channel independence, ADS reduces the number of parameters for the estimation technique, which improves the performance. ADS provides 1.6× better scalability and 1.5× higher accuracy. In our evaluations, ADS achieves 1.7× better throughput on average and a maximum of 3× better throughput than the existing methods.