Nothing Special   »   [go: up one dir, main page]

FMCW Lidar: Figure 1. A Conceptual Diagram of FMCW Ladar

Download as pdf or txt
Download as pdf or txt
You are on page 1of 2

FMCW LiDAR

Bridger’s distance measurement technology is based on frequency-modulated continuous-wave


(FMCW) LiDAR shown in Figure 1. Light from a frequency-swept, or “chirped”, laser is split into
two portions; one portion (Tx) is transmitted to the target while the second portion (LO) is kept
local and does not travel to the target. The laser light returning from the target (Rx) is
interferometrically recombined with the LO and detected. Figure 1 (top right), shows the LO
(black) and Rx (gray) optical frequencies (linear chirps) as functions of time. Because the Rx has
traveled to the target and back, it is simply a time-delayed replica of the LO waveform. The time
delay, 𝜏𝐷 , is related to the target range (distance), 𝑅, through the relation

𝜏𝐷 = 2𝑅⁄𝑐, (1)

where 𝑐 is the speed of light. A detector measures the heterodyne beat (difference frequency)
between the two optical fields. The heterodyne beat frequency is given by

𝑓𝑏𝑒𝑎𝑡 = 𝜅𝜏𝐷 , (2)

where 𝜅 is the chirp rate. Figure 1 (bottom right) shows the Fourier transform of the heterodyne
beat on a logarithmic vertical axis, with the horizontal frequency axis converted to range. This
representation is referred to as the full-waveform range profile. Eqns. (1) and (2) can be combined
to determine the target range through the equation

𝑅 = 𝑓𝑏𝑒𝑎𝑡 𝑐⁄2𝜅, (3)

Scene

Figure 1. A conceptual diagram of FMCW ladar.

© copyright Bridger Photonics, Inc. All rights reserved. No reproduction without permission.
Often times, one desires to know the range to one or more targets along the beam path. Figure
2 shows a range profile, this time with a linear vertical axis, with three targets on the same bearing,
but at different ranges. The following definitions follow from those of the radar community.

As shown in Figure 2, the range resolution is defined as the minimum resolvable separation (full
width at half maximum) between two targets on the same bearing, and is given by

∆𝑅 = 𝑐⁄2𝐵, (4)

where 𝐵 is the information bandwidth (chirp bandwidth for this case). However, it is often possible
to determine the range of a target much more precisely than the resolution.

As shown in Figure 2, the range precision is defined as the standard deviation of a statistically
meaningful number of range measurements of the same target under the same conditions, and
is given by the Cramér Rao lower bound,

𝜎𝑅 ≈ ∆𝑅⁄√𝑆𝑁𝑅, (5)

where SNR is the signal-to-noise ratio (in RF power) of the measurement. The beauty of Eqns. (4)
and (5) are that they apply to any LiDAR system. To determine the range to a target with the best
precision, one simply desires large information bandwidth and high signal-to-noise ratio.

Figure 2. A conceptual diagram of FMCW ladar.

A portion of Bridger’s intellectual property includes methods to actively linearize very broadband
frequency chirps, which is important for achieving the fundamental limits of resolution, precision,
and measurement range.

The FMCW LiDAR technique can offer a number of advantages over conventional “direct detect”
LiDAR techniques including:

1. Improved range resolution, enabling the measurement and separation of multiple


closely spaced surfaces.
2. Improved dynamic range, enabling the measurement of both bright and dim objects
simultaneously.
3. Single-photon sensitivity, enabling small apertures, long range operation, and obscurant
penetration.
4. Velocity sensitivity, enabling the ability to detect and quantify motion.

Copyright © 2019 Bridger Photonics, Inc. Specifications are subject to change without notice. 2

You might also like