Real-Time Separation of Collided Signals in Multiple Zones Backscatter Communication System

Backscatter communication is essential in applications where wireless and batteryless sensors are demanded. Backscatter communication system may suffer short communication range because its sensors transmit signals by means of the reflection of incident radio wave that is provided by counterpart interrogator. The use of multiple interrogators, forming multiple interrogation zones, is the usual practice to extend the range of backscatter communication system. However, if a sensor receives more than one radio waves — one from its counterpart interrogator and others from neighbor interrogators — the sensor produces modulated backscatters to all the interrogators, causing interference to neighbor interrogators. This inter-zone interference is particularly problematic when multiple sensors send stream data concurrently. This paper proposes a real-time separation of collided backscatter signals based on their statistical independence. The proposal uses a priori probability of backscatter signal to extract the independent carrier phase angles and the independent amplitudes from IQ signal observation. The measurement of channel state information with predefined symbol pattern in packet is not needed. The proposal is evaluated both in numerical simulations and a physical experiment using prototype backscatter sensors and a software-defined interrogator. The results show that collided backscatter signals can be separated in real-time without degrading the packet error rate of each signal.

[1]  Mohammad Rostami,et al.  Enabling Practical Backscatter Communication for On-body Sensors , 2016, SIGCOMM.

[2]  Peter Noel,et al.  Doubling the through-put of a Digital Microwave Radio system by the implementation of a cross-polarization interference cancellation algorithm , 2012, 2012 IEEE Radio and Wireless Symposium.

[3]  Jin Mitsugi,et al.  Inter-zone interference avoidance using channel reservation in multiple subcarrier multiple access scheme , 2017, IOT.

[4]  Darren Leigh,et al.  A Software-Defined Radio System for Backscatter Sensor Networks , 2008, IEEE Transactions on Wireless Communications.

[5]  Jin Mitsugi,et al.  Perfectly Synchronized Streaming from Digitally Modulated Multiple Backscatter Sensor Tags , 2018, 2018 IEEE International Conference on RFID Technology & Application (RFID-TA).

[6]  Yuki Igarashi,et al.  Concurrent Backscatter Streaming from Batteryless and Wireless Sensor Tags with Multiple Subcarrier Multiple Access , 2017, IEICE Trans. Commun..

[7]  Junyu Wang,et al.  Separation of multiple passive RFID signals using Software Defined Radio , 2009, 2009 IEEE International Conference on RFID.

[8]  Pan Hu,et al.  Laissez-Faire: Fully Asymmetric Backscatter Communication , 2015, SIGCOMM.

[9]  Sachin Katti,et al.  BackFi: High Throughput WiFi Backscatter , 2015, SIGCOMM.

[10]  Harold Stern,et al.  A CDMA-based RFID inventory system: A CDMA approach as a solution for decreased power consumption , 2016, 2016 IEEE International Conference on RFID (RFID).

[11]  Xiaojiang Chen,et al.  PLoRa: a passive long-range data network from ambient LoRa transmissions , 2018, SIGCOMM.

[12]  S.E. George,et al.  Evaluation of a vibration-powered, wireless temperature sensor for health monitoring , 2005, 2005 IEEE Aerospace Conference.

[13]  Alle-Jan van der Veen,et al.  Separation of overlapping RFID signals by antenna arrays , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[14]  William C. Wilson,et al.  Passive Wireless Sensor Applications for NASA’s Extreme Aeronautical Environments , 2014, IEEE Sensors Journal.