Noncontact distance and amplitude-independent vibration measurement based on an extended dacm algorithm

Jingyu Wang, Xiang Wang, Lei Chen, Jiangtao Huangfu, Changzhi Li, Lixin Ran

Research output: Contribution to journalArticlepeer-review

150 Scopus citations


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.

Original languageEnglish
Article number6583987
Pages (from-to)145-153
Number of pages9
JournalIEEE Transactions on Instrumentation and Measurement
Issue number1
StatePublished - Jan 2014


  • Arctangent demodulation
  • differentiate and cross multiply (DACM)
  • noncontact vibration measurement
  • nonlinear phase modulation
  • radar sensor


Dive into the research topics of 'Noncontact distance and amplitude-independent vibration measurement based on an extended dacm algorithm'. Together they form a unique fingerprint.

Cite this