IEEE Transactions on Instrumentation and Measurement · 2013 · 254 citations · 15 references
EngineeringMechanical EngineeringBiomedical Signal ProcessingSensorsVibrationDigital Signal ProcessingRadar Signal ProcessingRadar SystemsVibration MeasurementVibration MonitoringAmplitude Of VibrationDemodulationDoppler Radar DetectionExperimental ValidationNoise Performance AnalysisNoncontact MeasurementSmall-amplitude VibrationVibration Signatures
Utilizing microwave continuous-wave Doppler radars to wirelessly detect mechanical vibrations have been attracting more and more interests in recent years. In this paper, aiming to solve the null point and nonlinear issues in small-angle approximation-based Doppler radar sensors and eliminate the codomain restriction in the arctangent demodulation approach, we propose and investigate an extended differentiate and cross-multiply (DACM) algorithm. With an additional accumulator, the noise performance of the original DACM algorithm is improved. Moreover, the amplitude information of the vibration can be directly retrieved from accumulation without involving any distance-dependent issue. Experimental validations show that the proposed algorithm can fully recover the vibration patterns with the measured noncalibrated amplitude agreeing well with the known precalibrated data. Application examples of mechanical fault detection and human vital sign detection are demonstrated, showing a wide range of potential applications of this algorithm.
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Analysis of the phase unwrapping algorithm
Kazuyoshi Itoh · Applied Optics · 1982 · 854 citations
Amy D. Droitcour, Olga Borić-Lubecke, Victor M. Lubecke et al. · IEEE Transactions on Microwave Theory and Techniques · 2004 · 646 citations
Yanming Xiao, Jenshan Lin, Olga Borić-Lubecke et al. · IEEE Transactions on Microwave Theory and Techniques · 2006 · 258 citations
Engineering, Biomedical Engineering, Electrical Engineering +17