Micro-Doppler Effect in Radar:
Phenomenon, Model, and
Simulation Study
VICTOR C. CHEN
Naval Research Laboratory
FAYIN LI
SHEN-SHYANG HO
HARRY WECHSLER, Fellow, IEEE
George Mason University
When, in addition to the constant Doppler frequency shift
induced by the bulk motion of a radar target, the target or any
structure on the target undergoes micro-motion dynamics, such
as mechanical vibrations or rotations, the micro-motion dynamics
induce Doppler modulations on the returned signal, referred to
as the micro-Doppler effect. We introduce the micro-Doppler
phenomenon in radar, develop a model of Doppler modulations,
derive formulas of micro-Doppler induced by targets with
vibration, rotation, tumbling and coning motions, and verify
them by simulation studies, analyze time-varying micro-Doppler
features using high-resolution time-frequency transforms, and
demonstrate the micro-Doppler effect observed in real radar data.
Manuscript received March 1, 2003; revised July 1, 2004 and
March 3, 2005; released for publication August 5, 2005.
IEEE Log No. T-AES/42/1/870577.
Refereeing of this contribution was handled by L. M. Kaplan.
This work was supported in part by the Office of Naval Research
and the Missile Defense Agency.
Authors’ addresses: V. C. Chen, Radar Division, Naval Research
Laboratory, Code 5311, 4555 Overlook Ave. SW, Washington, D.C.
20375; F. Li, S-S. Ho, and H. Wechsler, Dept. of Computer Science,
George Mason University, Fairfax, VA 22030.
0018-9251/06/$17.00 c° 2006 IEEE
I. INTRODUCTION
When a radar transmits an electromagnetic signal
to a target, the signal interacts with the target and
returns back to the radar. Changes in the properties of
the returned signal reflect the characteristics of interest
for the target. When the target moves with a constant
velocity, the carrier frequency of the returned signal
will be shifted. This is known as the Doppler effect
[1]. For a mono-static radar where the transmitter and
the receiver are at the same location, the roundtrip
distance traveled by the electromagnetic wave is
twice the distance between the transmitter and the
target. The Doppler frequency shift is determined
by the wavelength of the electromagnetic wave and
the relative velocity between the radar and the target:
fD =¡2¸V, where ¸= c=f is the wavelength and V
is the relative velocity. If the radar is stationary, the
relative velocity V will be the velocity of the target
along the line of sight (LOS) of the radar, known as
the radial velocity. When the target is moving away
from the radar, the velocity is defined to be positive,
and as a consequence the Doppler shift is negative.
If the target or any structure on the target has
mechanical vibration or rotation in addition to
its bulk translation, it might induce a frequency
modulation on the returned signal that generates
sidebands about the target’s Doppler frequency
shift. This is called the micro-Doppler effect [2—4].
Radar signals returned from a target that incorporates
vibrating or rotating structures, such as propellers
of a fixed-wing aircraft, rotors of a helicopter, or
the engine compressor and blade assemblies of a jet
aircraft, contain micro-Doppler characteristics related
to these structures. The micro-Doppler effect enables
us to determine the dynamic properties of the target
and it offers a new approach for the analysis of target
signatures. Micro-Doppler features serve as additional
target features that are complementary to those made
available by existing methods. The micro-Doppler
effect can be used to identify specific types of
vehicles, and determine their movement and the speed
of their engines. Vibrations generated by a vehicle
engine can be detected by radar signals returned
from the surface of the vehicle. From micro-Doppler
modulations in the engine vibration signal, one can
distinguish whether it is a gas turbine engine of a tank
or the diesel engine of a bus.
The micro-Doppler effect was originally
introduced in coherent laser systems [3]. A coherent
laser radar system transmits electromagnetic waves at
optical frequencies and receives the backscattered light
waves from targets. A coherent system preserves the
phase information of the scattered waves with respect
to a reference wave and has greater sensitivity to any
phase variation. Because a half-wavelength change in
range can cause a 360± phase change, for a coherent
laser system with a wavelength of ¸= 2 ¹m, 1 ¹m
2 IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS VOL. 42, NO. 1 JANUARY 2006
variation in range would cause a 360± phase
change.
In many cases, a target or a structure on the
target may have micro-motions, such as vibrations or
rotations. The source of rotations or vibrations might
be a rotating rotor of a helicopter, a rotating antenna
on a ship, mechanical oscillations in a bridge or a
building, an engine-induced vibrating surface, or other
causes. Micro-motion dynamics produce frequency
modulations on the back-scattered signal and would
induce additional Doppler changes to the constant
Doppler frequency shift of the bulk translational
motion. For a target that has only translation with a
constant velocity, the Doppler frequency shift induced
by translation is a time-invariant function. If the
target also undergoes a vibration or rotation, then the
Doppler frequency shift generated by the vibration
or rotation is a time-varying frequency function and
imposes a periodic time-varying modulation onto the
carrier frequency. Micro-motions yield new features
in the target’s signature that are distinct from its
signature in the absence of micro-motions.
For a pure periodic vibration or rotation,
micro-motion dynamics generate sideband Doppler
frequency shifts about the Doppler shifted central
carrier frequency. The modulation contains harmonic
frequencies that depend on the carrier frequency,
the vibration or rotation rate, and the angle between
the direction of vibration, and the direction of the
incident wave. Because the frequency modulation is
a phase change in the signal, in order to extract useful
information from the modulation, coherent processing
must be used to carefully track the phase change.
For a vibration scatterer, if the vibration rate in
angular frequency is !v and the maximal displacement
of the vibration is Dv, the maximum Doppler
frequency variation is determined by maxffDg=
(2=¸)Dv!v. As a consequence, for very short
wavelengths, even with very low vibration rate !v any
micro vibration of Dv can cause large phase changes.
As a consequence the micro-Doppler frequency
modulation or the phase change with time can be
easily detected. A coherent laser radar operating at
1:5 ¹m wavelength, can achieve a velocity precision
¢V better than 1 mm/s, or a Doppler resolution of
¢fD = 2¢V=¸= 1:33 KHz.
Because the micro-Doppler effect is sensitive
to the operating frequency band, for radar systems
operating at microwave frequency bands, the
phenomenon may also be observable if the product
of the target’s vibration rate and the displacement of
the vibration is high enough. For a radar operating at
X-band with a wavelength of 3 cm, a vibration rate
of 15 Hz with a displacement of 0.3 cm can induce a
detectable maximum micro-Doppler frequency shift
of 18.8 Hz. If the radar is operated at L-band with a
wavelength of 10 cm, to achieve the same maximum
micro-Doppler shift of 18.8 Hz at the same vibration
rate of 15 Hz, the required displacement must be
1 cm, which may be too large in practice. Therefore,
at lower radar frequency bands, the detection of the
micro-Doppler modulation generated by vibration
may not be possible. The micro-Doppler generated
by rotations, such as rotating rotor blades, however,
may be detectable because of their longer rotating
arms and, thus, higher tip speeds. For example,
UHF-band (300—1,000 MHz) radar with a wavelength
of 0.6 m, when a helicopter’s rotor blade rotates
with a tip speed of 200 m/s, can induce a maximum
micro-Doppler frequency shift of 666 Hz that is
certainly detectable.
To analyze time-varying micro-Doppler frequency
features, the Fourier transform, which is unable to
provide time-dependent frequency information, is not
suitable. An efficient method to analyze time-varying
frequency features is to apply a high-resolution
time-frequency transform.
The contribution of this paper is that 1) a
model of the micro-Doppler effect is developed,
2) mathematical formulas of micro-Doppler
modulations induced by several typical basic
micro-motions are derived and verified by simulation
studies, 3) instead of using the conventional Fourier
transform, the high-resolution time-frequency
transform is used to analyze time-varying
micro-Doppler features, and 4) micro-Doppler effect
in radar is demonstrated using real radar data. In
Section II, we develop a model for analyzing the
micro-Doppler effect. In Section III, we briefly
introduce high-resolution time-frequency transforms
for analyzing time-varying frequency spectrum.
In Section IV, we apply the model for analyzing
micro-Doppler effect to several typical micro-motions
(vibration, rotation, tumbling, and coning) and verify
them using simulation studies. In Section V, we
demonstrate two examples of micro-Doppler effect
in radar observed in real radar data.
II. MICRO-DOPPLER EFFECT INDUCED BY
MICRO-MOTION DYNAMICS
The micro-Doppler effect induced by
micro-motions of a target or structures on the target
can be derived from the theory of electromagnetic
back-scattering field. It can be mathematically
formulated by augmenting the conventional Doppler
effect analysis using micro-motions.
The characteristics of the electromagnetic
back-scattering field from a moving or an oscillating
target have been studied in both theory and
experiment [5—14]. Theoretical analysis indicates
that the translation of a target modulates the phase
function of the scattered electromagnetic waves. When
the target oscillates linearly and periodically, the
modulation generates sideband frequencies about the
frequency of the incident wave. A far electric field of
CHEN ET AL.: MICRO-DOPPLER EFFECT IN RADAR: PHENOMENON, MODEL, AND SIMULATION STUDY 3
Fig. 1. Geometry of translation target in far EM field.
a translated target can be derived as [8]
~ET(~r
0) = expfjk~r0 ¢ (~uk ¡~ur)g~E(~r) (1)
where k = 2¼=¸ is the wave number, ~uk is the
unit vector of the incidence wave, ~ur is the unit
vector of the direction of observation, ~E(~r) is the
far electric field of the target before moving, ~r =
(U0,V0,W0) is the initial coordinates of the target in
the radar coordinates (U,V,W), ~r0 = (U1,V1,W1) is the
coordinates of the target after translation, and ~r =
~r0+~r0, where ~r0 is the translation vector, as illustrated
in Fig. 1.
From (1) we can see that the only difference in
the electric field before and after the translation is the
phase factor expfjk~r0 ¢ (~uk ¡~ur)g. If the translation is
a function of time ~r0 =~r0(t) = r0(t)~uT, where ~uT is the
unit vector of the translation, the phase factor then
becomes
expfj©(t)g= expfjkr0(t)~uT ¢ (~uk ¡~ur)g: (2)
For back-scattering, the direction of observation is
opposite to the direction of the incidence wave, or
~uk =¡~ur and thus
expfj©(t)g= expfj2kr0(t)~uT ¢~ukg: (3)
If the translation direction is perpendicular to the
direction of the incidence wave, the phase function
is zero and expf©(t)g= 1.
In general, when the radar transmits an
electromagnetic wave at a carrier frequency of f, the
radar received signal can be expressed as
s(t) = expfj2kr0(t)~uT ¢~ukgexpf¡j2¼ftgj~E(~r)j (4)
where the phase factor, expfj2kr0(t)~uT ¢~ukg, defines
the modulation of the micro-Doppler effect caused
by the motion ~r0(t). If the motion is a vibration
given by r0(t) = Acos−t, the phase factor becomes a
periodic function of the time with an angular vibrating
frequency −
expfj©(t)g= expfj2kAcos−t~uT ¢~ukg: (5)
The phase function can be mathematically
formulated by introducing micro-motions to augment
the conventional Doppler analysis. Let us represent
a target as a set of point scatterers that represent
the primary scattering centers on the target. The
point scattering model simplifies the analysis while
Fig. 2. Geometry of radar and target with translation and
rotation.
preserving the micro-Doppler features. For simplicity,
all scatterers are assumed to be perfect reflectors that
reflect all the energy intercepted.
As shown in Fig. 2, the radar is stationary and
located at the origin Q of the radar coordinate system
(U,V,W). The target is described in a local coordinate
system (x,y,z) attached to it and has translations and
rotations with respect to the radar coordinates. To
observe the target’s rotations, a reference coordinate
system (X,Y,Z) is introduced, which shares the same
origin with the target local coordinates and, thus, has
the same translation as the target but no rotation with
respect to the radar coordinates. The origin O of the
reference coordinates is assumed to be at a distance R0
from the radar.
Suppose the target is a rigid body that has
translation velocity ~V with respect to the radar and
a rotation angular velocity ~!, which can be either
represented in the target local coordinate system
as ~! = (!x,!y ,!z)
T, or represented in the reference
coordinate system as ~! = (!X ,!Y,!Z)
T. Because the
motion of a rigid body can be represented by the
position of the body at two different instants of time,
a particle P of the body at instant of time t= 0 will
move to P 0 at instant of time t. The movement consists
of two steps: 1) translation from P to P 00, as shown
in Fig. 2, with a velocity ~V, i.e.,
¡¡!
OO0 = ~Vt, and
2) rotation from P 00 to P 0 with an angular velocity
~!. If we observe the movement in the reference
coordinate system, the particle P is located at
~r0 = (X0,Y0,Z0)
T, and the rotation from P 00 to P 0 is
described by a rotation matrix
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