Systems Engineering and Electronics ›› 2021, Vol. 43 ›› Issue (12): 3564-3570.doi: 10.12305/j.issn.1001-506X.2021.12.18

• Sensors and Signal Processing • Previous Articles     Next Articles

Micro-motion parameters extraction for rotating targets based on FMCW radar

Weiting FENG*, Qing LIANG, Jing GU   

  1. School of Electronic Engineering, Xi'an University of Posts and Telecommunications, Xi'an 710121, China
  • Received:2021-04-13 Online:2021-11-24 Published:2021-11-30
  • Contact: Weiting FENG

Abstract:

The micro-Doppler frequencies of rotating targets usually overlap in the time-frequency domain, it is difficult to extract them by traditional methods. To address this issue, this paper proposes a novel micro-motion parameters extraction method for rotating targets based on frequency modulated continuous wave (FMCW) radar. Given the fact that the obtained micro-Doppler frequency is featured by sinusoidal model, a matrix based on the received signal is constructed and carried out by singular value decomposition to ensure that the singular value ratio spectrum reaches the peak value at the rotating frequency. To estimate rotating radius and initial phase, a method of calculating inverse Radon transform for the result of time-frequency analysis is proposed, which transformed the parameter estimation of sine curve into the problem of peak value detection in parameter space. The simulation and experiment data show that the proposed method can achieve high accuracy for parameter estimation in the low signal-to-noise ratio and can extract overlapped micro-Doppler frequencies effectively.

Key words: frequency modulated continuous wave (FMCW) radar, rotating targets, micro-Doppler, parameter estimation

CLC Number: 

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