Sequential detection based classifications of rfid tags in three-dimensional space

A computer system for sequential detection-based classifications of radio-frequency identification (RFID) tags in three-dimensional space, comprising:

• a processor device operatively coupled to a memory device, the processor device being configured to:
• modeling a response from RFID tags as a probabilistic macro-channel;
• interrogate at least one RFID tag by transmitting a series of packets where each packet is a transmit symbol and a first series of packet is a transmitted codeword;
• receive, from the at least one RFID tag, a second series of packets that is a received codeword in response to the transmitted codeword;
• find a jointly transmit and receive codeword across all classes of macro-channels;
• and
• declare a class of the at least one RFID tag based on a largest likelihood between the transmitted codeword and the received codeword.

A computer program product for sequential detection-based classifications of radio-frequency identification (RFID) tags in three-dimensional space, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computing device to cause the computing device to perform the method comprising:

• modeling a response from RFID tags as a probabilistic macro-channel;
• interrogating, by at least one processor device, at least one RFID tag by transmitting a series of packets where each packet is a transmit symbol and a first series of packet is a transmitted codeword;
• receiving, from the at least one RFID tag, a second series of packets that is a received codeword in response to the transmitted codeword;
• finding, by the at least one processor device, a jointly typical transmit and receive codeword across all classes of macro-channels;
• and
• declaring a class of the at least one RFID tag based on a largest likelihood between the transmitted codeword and the received codeword.