BERKELEY SENSOR & ACTUATOR CENTER
UC BERKELEY UC DAVIS
User: Guest |  Site Map |  My BSAC Profile
HOME  PROJECTS  THRUSTS  PUBLICATIONS  ABOUT BSAC  DIRECTORY  ALUMNI  FOR BSAC RESEARCHERS  EVENTS CALENDAR  SECURE LOGIN
NanoTechnology: Materials, Processes & Devices
     
 

BPN721: Non-Linear FMCW Lidar Using Resampling Methods for Long Range and High Resolution

Project ID BPN721
Website
Start Date Wed 2013-Aug-14 20:43:15
Last Updated Tue 2017-Aug-15 17:05:16
Abstract Range-finding sensors have applications that span several industries and markets, from metrology to robotic control. Frequency-modulated continuous-wave lidar has been proven effective in providing high depth resolution, but suffers from limited range due to the limited coherence length of tunable laser sources. Implementations typically require expensive lasers with large coherence length or complex feedback to linearize tunable laser sweeps and extend coherence length. Instead, we use resampling methods to linearize laser sweeps and reduce laser phase noise, all in post-processing, thus reducing the need for precision feedback control or expensive tunable laser hardware. We have demonstrated sub-millimeter resolution at free-space distances >20-meters with 1-inch receiving aperture. In addition, we present a demonstration of this technology which approaches reasonable 3D image acquisition speeds with sub-mm depth precision. Use of RAID and FPGA systems can help approach real- time frame-rates for 3D imaging.
Status Continuing
Funding Source DARPA
IAB Research Area NanoPlasmonics, Microphotonics & Imaging
Researcher(s) Phillip A.M. Sandborn
Advisor(s) Ming C. Wu
Detailed Information
Secure Access

Private Abstract
Research Report
Poster
Summary Slide PDF | VIDEO
Active Feedback (or Request for Response)

 

  • Copyright Notification: All papers downloaded from this site are © University of California or the publisher, all rights reserved. Contact the BSAC Webmaster for permission related to copyrighted materials.
  • Links on these pages to commercial sites do not represent endorsements by UC or its affiliates.
  • Privacy Policy
  • Contact Us

   webmaster@bsac.eecs.berkeley.edu
  User logged in as: Guest
  User Idle since: August 17, 2017, 6:09 pm