Abstract

We propose a linearization method for reducing the effect of nonlinear frequency sweep in a frequency-modulated continuous-wave (FMCW) based laser range sensor. In FMCW laser range sensors, nonlinear frequency sweep can severely degrade the measurement accuracy because it gives the system ambiguity when determining the target range. In general, voltage controlled oscillators (VCO) which are used for frequency modulation show nonlinear frequency sweep property even though the input voltage signal is a linear ramp signal. To solve this problem, we adopt an additional fixed delay structure to extract the nonlinearity and compensate it. The proposed linearization method has been worked out through the numerical process and the simulation, and this method effectively eliminates the nonlinear frequency sweep problem.

Highlights

  • Laser range sensors are remote distance sensing devices with typical applications, such as solid-target detections, 3D vision, localization, and robotics [1,2,3]

  • We focused on the frequency-modulated continuouswave (FMCW) laser range sensor

  • To evaluate the proposed method, we modeled a nonlinear frequency sweep and applied it to the FMCW laser range sensor

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Summary

Introduction

Laser range sensors are remote distance sensing devices with typical applications, such as solid-target detections, 3D vision, localization, and robotics [1,2,3]. Intermediate frequency drift and influence of the crosstalk degrade the performance of the phase-shift technique [7, 8] To avoid these problems, we focused on the FMCW laser range sensor. Because PLLs are dynamic systems, any changes in the system input will cause the output not to follow immediately but to exhibit some transient behavior Such errors in the output frequency will have a negative influence on the FMCW measurement result. To solve these problems, we propose a method for correction of frequency-sweep nonlinearity in a signal processor instead of linearization of the VCO frequency sweep. We validate our linearization method with numerical analysis and computer simulation

Nonlinearity Correction Method
Case II
Results and Discussion
Conclusions

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