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Optimal Spectrum Estimation and System Trade-Off in Long-Distance Frequency-Modulated Continuous-Wave LIDAR

Citation Author(s):
Pavan Bhargava, Vladimir Stojanovic
Submitted by:
Taehwan Kim
Last updated:
14 April 2018 - 11:27pm
Document Type:
Poster
Document Year:
2018
Event:
Presenters:
Taehwan Kim
Paper Code:
IVMSP-P5.1
Categories:
 

Frequency-modulated continuous-wave (FMCW) LIDAR is a promising technology for next-generation integrated 3D imaging systems. However, it has been considered difficult to apply FMCW LIDAR for long-distance (>100m) targets, such as those in automotive and airborne applications. Maintaining coherence between the reflected beam from the target and locally forwarded beam becomes a significant challenge for tunable laser design. This paper demonstrates the possibility of extending the detection range of FMCW LIDAR beyond the coherence range of its laser by improving the spectral estimation algorithm. By exploiting the Lorentzian prior of the received signal in the spectral domain, >10x improvement in ranging accuracy is achieved compared to traditional algorithms that do not consider phase noise in the signal model. In light of this finding, the end-to-end modeling framework is presented to examine true system-level trade-offs of FMCW LIDAR and the feasibility of long-distance measurement.

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