Multistatic noncoherent linear complexity Miller sequence detection for Gen2 RFID/IoTMultistatic noncoherent linear complexity Miller sequence detection for Gen2 RFID/IoT Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2023-04-062021enThis research has been cofinanced by the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH - CREATE - INNOVATE (project code: T1EDK-03032).Passive Gen2 radio frequency identification (RFID) tags work thanks to the utilization of line codes that balance their operation between two opposite states: absorbing RF (for energy harvesting) and reflecting RF (for backscattering/communications). Given the current RF harvesting technology, batteryless tags need to be located very close to an active illuminator in order to harvest sufficient energy and operate. To tackle this limitation, prior art has tried to bring the illuminator closer to the tags by designing proprietary illuminating architectures. Our solution comes in two parts. First, we offer a novel, Gen2-compliant, near-optimal, noncoherent sequence detection algorithm with linear complexity (in the sequence length) for Miller line codes. We leverage the robustness of this algorithm to overcome issues inherent in multistatic setups, such as carrier frequency offset. Second, we propose a modular multistatic architecture that makes use of low-cost commodity software defined radios (SDR) and omnipresent Ethernet infrastructure. Simulations and experimental results in a monostatic, bistatic, or multistatic SDR testbed with commercial RFIDs, corroborate the low-cost, real-time and near-optimal flavor of our solution.http://creativecommons.org/licenses/by/4.0/IEEE Transactions on Wireless Communications20128067-8080 Ouroutzoglou Michail Ουρουτζογλου Μιχαηλ Vougioukas Georgios Βουγιουκας Γεωργιος Karystinos Georgios Καρυστινος Γεωργιος Bletsas Aggelos Μπλετσας Αγγελος Institute of Electrical and Electronics Engineers Miller coding RFID IoT Sequence detection Noncoherent detection Batteryless tags Multistatic reader