Device classification performance modeling using UWB stimulated “RFDNA” fingerprinting

Abstract

Quality control is critical for all industrial processes, but often times defect detection is labor intensive. A novel approach to industrial defect detection is proposed using a Digital Noise Radar (DNR), coupled with Radio Frequency Distinct Native Attribute (RF-DNA) fingerprinting processing algorithms to non-destructively interrogate microwave devices. The DNR is uniquely suitable since it uses an Ultra Wideband noise waveform as an active interrogation method that will not cause damage to sensitive microwave components. Additionally, it has been demonstrated that multiple DNRs can operate simultaneously in close proximity, allowing for significant parallelization of defect detection systems resulting in increased process throughput. Using this method, 100% sampling for quality control may be attainable in many cases. The ability to classify defective units from properly functioning units was demonstrated in [1] with potential applications including assembly line inspection of automotive collision avoidance systems, wireless or cellular antenna defect detection during manufacture, and phased array element defect detection prior to RF system assembly. However, prior research into active interrogation has been strictly empirical. This paper will develop an analytical model and simulation for interrogating a passively terminated antenna with an overall objective of improving classification performance through optimization of the interrogation signal bandwidth.

Device identification using active noise interrogation and RF-DNA "fingerprinting" for non-destructive amplifier acceptance testing

“…The second setup, representing a transmitter architecture, used multiple interrogation frequencies (1.47, 2.45, 3.51, 4.51 and 5.52 GHz) with a noise bandwidth of approximately 1GHz. The tests were conducted in a small anechoic chamber with no additional RFI present, although the noise interrogation signal has previously demonstrated high immunity to RFI down to -20dB 20dB Signal-to-Noise Ratio (SNR) [4], [5], [6], [7]. The AmUT was connected to three different terminations (an "Open", "Short" and 50Ω Load) and interrogated in both the "on" and "off" state.…”

“…15 BlueTooth, IEEE 802. 16 WiMAX, Global Systems for Mobile Communications (GSM) cell phones, Radio Frequency Identification (RFID) emitters [3] and now various RF emitting devices [4], [5], [6], [7]. This last class of devices (those that do not normally emit RF radiation, such as properly shielded RF amplifiers, mixers, oscillators and filters) can be classified using an "active" interrogation method, such as a radar transmission.…”