introduction to stepped-frequency radar -...
TRANSCRIPT
8/1/2013
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1
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Introduction to
Stepped-Frequency Radar
Gregory Mazzaro Brian Phelan
Kelly Sherbondy Francois Koenig
ALC 204/3D013
June 7, 2013
Overview
2
• High Range Resolution Radar
• Impulse, Chirp, Stepped-Frequency
• Properties of the Stepped-Frequency Waveform
• Step-Frequency Radar Architecture
• Theory-of-Operation & Basic Design
• Penn State University Design (B. Phelan)
• Transmission, Data Capture, Processing
• Tx/Rx Sequence of Events
• Inverse Discrete Fourier Transform
• Radar Design Parameters
• Resolution, Unambiguous Range
• Design Strategy & Example
• RailSAR
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Overview
3
• High Range Resolution Radar
• Impulse, Chirp, Stepped-Frequency
• Properties of the Stepped-Frequency Waveform
• Step-Frequency Radar Architecture
• Theory-of-Operation & Basic Design
• Penn State University Design (B. Phelan)
• Transmission, Data Capture, Processing
• Tx/Rx Sequence of Events
• Inverse Discrete Fourier Transform
• Radar Design Parameters
• Resolution, Unambiguous Range
• Design Strategy & Example
• RailSAR
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High Range Resolution Radar
from [1,2]
• Range Resolution
DR = c/2B, B = bandwidth, c = speed of light
• Waveforms
• Impulse (e.g. Synchronous Impulse Reconstruction radar)
• extremely narrow pulses of high power
• Pulse compression (e.g. linear frequency-modulated chirp)
• modulated transmit pulses instead of reduced time duration
• received pulses are processed by correlating with transmitted pulses
• Stepped-frequency
• successive pulses increase frequency linearly in discrete steps
• modulation occurs across pulses instead of within pulses
t 1Bt
4
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Impulse Waveform
5
SIRE transmitter
waveform (#10456)
recorded using
Lecroy Wavemaster
8300A oscilloscope
(measured)
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Linear FM Chirp Waveform
fstart = 200 MHz, fend = 1800 MHz,
Tenv = 1 ms, Dc = 20%
(simulated)
env startcos 2 2A f k t t s t
end start env
env
c
c
s t u t u t D T s t T
k f f T
D T T
6
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• Coherent pulses -- frequency increases in linear steps
• fn = f0 + nDf f0 = starting carrier frequency, Df = step size
t = pulse length (active, per frequency), T = repetition interval
• n = 1…N, each burst consists of N pulses (frequencies)
coherent processing interval (CPI) = N · T = 1 full burst
• range resolution = DR = c / 2B
DR = c / 2N·Df because effective bandwidth B = N·Df
• does not depend on instantaneous bandwidth
• can be increased arbitrarily by increasing N·Df
from [1]
Stepped-Frequency Waveform
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Stepped-Frequency Waveform
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from [4]
Tx/Rx
Rx
Tx/Rx
Rx
Tx/Rx
Rx
Tx/Rx
Rx
Tx/Rx
Rx
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Stepped-Frequency vs. Others
9 from [1]
• Advantages
• achieves high effective bandwidth with narrow instantaneous bandwidth
• Rx bandwidth is smaller lower noise bandwidth, higher SNR
• A-to-D sampling rates are lower (vs. pulse-compression)
• peak power is smaller (vs. impulse)
• provides flexible Tx frequency control
• can “hop” over restricted
or undesired Tx frequencies
• enables adaptive/cognitive frequency use
• rejects later Rx clutter from earlier Tx pulses
• returns from clutter in ambiguous ranges
have frequencies that are different
from returns from targets
• ambiguous clutter returns will be
rejected by the receiver IF filter
from [3]
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S-F Spectrum: Time vs. Freq
10
fstart = 500 MHz, fend = 1250 MHz, Df = 250 MHz (N = 4)
t = 1 ms, T = 10 ms (Dc = 10%)
n =
1
n =
2
n =
3
n =
4
n =
1
n =
2
n =
3
n =
4
spacing
= Df
(simulated)
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S-F Spectrum: Wide vs. Narrow
11
n =
1
n =
2
n =
3
n =
4
n = 3
spacing
= 1/T spacing
= Df
fstart = 500 MHz, fend = 1250 MHz, Df = 250 MHz (N = 4)
t = 1 ms, T = 10 ms (Dc = 10%)
(simulated)
Note: Compared to
impulse & chirp
waveforms, the Tx/Rx
spectrum is not smooth.
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S-F Spectrum Notching
12
fstart = 500 MHz, fend = 1500 MHz, Df = 10 MHz (N = 100)
t = 1 ms, T = 10 ms (Dc = 10%);
signal blanked between 850 and 900 MHz
(simulated)
Note: Compared to
impulse & chirp
waveforms, the Tx/Rx
spectrum is not smooth.
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S-F Spectrum Notching
13
fstart = 500 MHz, fend = 1500 MHz, Df = 10 MHz (N = 100)
t = 1 ms, T = 10 ms (Dc = 10%);
signal blanked between 850 and 900 MHz
850 to 9
00 M
Hz
850
to
900
MHz
(simulated)
Note: Energy from
neighboring
frequencies “bleeds”
into the notched
frequencies because
all frequencies are
pulsed.
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Stepped-Frequency vs. Others
14 from [1]
• Disadvantages
• range resolution cannot be achieved with a single pulse
• requires Tx, Rx, and processing of a group of pulses for any one bin
• range-Doppler coupling is more pronounced
• e.g. different Doppler shifts for each frequency
• additional signal processing is required for tracking moving targets
• not an issue for the RF Branch’s new forward-looking GPR [3]
• range spread & range shift << 1 range bin
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Overview
15
• High Range Resolution Radar
• Impulse, Chirp, Stepped-Frequency
• Properties of the Stepped-Frequency Waveform
• Step-Frequency Radar Architecture
• Theory-of-Operation & Basic Design
• Penn State University Design (B. Phelan)
• Transmission, Data Capture, Processing
• Tx/Rx Sequence of Events
• Inverse Discrete Fourier Transform
• Radar Design Parameters
• Resolution, Unambiguous Range
• Design Strategy & Example
• RailSAR
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Theory-of-Operation
A1
f1
A2
f2
A3
f3
A4
f4
A5
f5
f0 f0 + Df f0 + 2Df f0 + 3Df f0 + 4Df
amplitude
phase
frequency
…
…
…
…
Tra
ns
mit
ted
R
ec
eiv
ed
P
roc
es
se
d
IDFT
2
cR t NOT a direct sampling
scheme (e.g. impulse).
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Pulse Width
Coarse Range Gate = Pulse width (in meters) divided by 2
Tx
Rx
Sample Now!
animation courtesy
of B. Phelan
Basic S-F Architecture
Antenna
duplexer = passes Tx signal to antenna
stalo = stable local oscillator
coho = coherent oscillator
IF = intermediate frequency
TRANSMIT
coho stalof f n f f D
18
modified
from [1]
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Antenna
duplexer = passes Rx signal to amplifier
stalo = stable local oscillator
coho = coherent oscillator
IF = intermediate frequency
RECEIVE
coho stalof f n f f D
19
modified
from [1]
Basic S-F Architecture
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Antenna
duplexer = passes Tx signal to antenna
passes Rx signal to amplifier
stalo = stable local oscillator
coho = coherent oscillator
IF = intermediate frequency
coho stalof f n f f D
20 from [1]
Basic S-F Architecture
(omitted from PSU design)
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Brian Phelan’s SFR Design
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Tx Rx
fcoho
f0 + nDf
fcoho (10 MHz)
fcoho+ f0 + nDf
fcoho +
f0 + nDf
f0 + nDf
fcoho
fcoho
I, Q
splitt
er
splitt
er
splitt
er
splitt
er
DAQ
modified from [3]
f0 + nDf (300 to 2000 MHz)
16 copies of the reference frequency
2 transmit channels
16 r
eceiv
e c
hannels
16 copies of the transmit frequency
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Overview
22
• High Range Resolution Radar
• Impulse, Chirp, Stepped-Frequency
• Properties of the Stepped-Frequency Waveform
• Step-Frequency Radar Architecture
• Theory-of-Operation & Basic Design
• Penn State University Design (B. Phelan)
• Transmission, Data Capture, Processing
• Tx/Rx Sequence of Events
• Inverse Discrete Fourier Transform
• Radar Design Parameters
• Resolution, Unambiguous Range
• Design Strategy & Example
• RailSAR
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Tx/Rx Sequence of Events
Tx Pulse Rx Sample Rx Sample Rx Sample Rx Sample Rx Sample …
Tx Pulse Rx Sample Rx Sample Rx Sample Rx Sample Rx Sample …
Tx Pulse Rx Sample Rx Sample Rx Sample Rx Sample Rx Sample …
Range
bin 1
Range
bin 2
Range
bin 3
Range
bin 4
Range
bin 5
… … … … … …
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Tx/Rx Sequence of Events
Tx Pulse Rx Sample Rx Sample Rx Sample Rx Sample Rx Sample …
Tx Pulse Rx Sample Rx Sample Rx Sample Rx Sample Rx Sample …
Tx Pulse Rx Sample Rx Sample Rx Sample Rx Sample Rx Sample …
Range
bin 1
Range
bin 2
Range
bin 3
Range
bin 4
Range
bin 5
I11 = 0
Q11 = 0
I12 = A12 cos(f12)
Q12 = A12 sin(f12)
I13 = 0
Q13 = 0
I14 = A14 cos(f14)
Q14 = A14 sin(f14)
I15 = A15 cos(f15)
Q15 = A15 sin(f15) f0
f0 + Df
f0 + 2Df
I21 = 0
Q21 = 0
I22 = A22 cos(f22)
Q22 = A22 sin(f22)
I23 = 0
Q23 = 0
I24 = A24 cos(f24)
Q24 = A24 sin(f24)
I25 = A25 cos(f25)
Q25 = A25 sin(f25)
I31 = 0
Q31 = 0
I32 = A32 cos(f32)
Q32 = A32 sin(f32)
I33 = 0
Q33 = 0
I34 = A34 cos(f34)
Q34 = A34 sin(f34)
I35 = A35 cos(f35)
Q35 = A35 sin(f35)
… … … … … …
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Data Sampling & Processing
modified
from [1]
A12
f12
A22
f22
A32
f32
A42
f42
A52
f52
A62
f62
A72
f72
A82
f82
A92
f92
f 0
f 0 +
Df
f 0 +
2D
f
f 0 +
3 D
f
f 0 +
4 D
f
f 0 +
5 D
f
f 0 +
6 D
f
f 0 +
7 D
f
f 0 +
8 D
f
amplitude
phase
frequency
1 complex sample
per range bin
per frequency
1 Range Bin:
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Inverse Discrete
Fourier Transform
modified
from [1]
Data Sampling & Processing
1 complex sample
per range bin
per frequency
1 Range Bin:
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Example: 1 Rx Channel, 1 Target
amplitude
phase
target
1 Range Bin
27
2
cR t
(Matlab simulation)
tgt tgt
tgt
tgt tgt2 6
sinIDFT
10j f t
B t
t
e t
t
t
tgt
tgt
tgt
2
tgt
tgt
2Rx
0 2
j ff f
f f
e B
B
t
tgt tgt
tgt
800 MHz, 400 MHz
150 ns
f B
t
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Overview
28
• High Range Resolution Radar
• Impulse, Chirp, Stepped-Frequency
• Properties of the Stepped-Frequency Waveform
• Step-Frequency Radar Architecture
• Theory-of-Operation & Basic Design
• Penn State University Design (B. Phelan)
• Transmission, Data Capture, Processing
• Tx/Rx Sequence of Events
• Inverse Discrete Fourier Transform
• Radar Design Parameters
• Resolution, Unambiguous Range
• Design Strategy & Example
• RailSAR
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GPR Design Parameters
Transmit power is chosen from the radar equation and models / empirical data [4]:
rec trans trans rec
1 1
4 4
l lP P G e e GR R
Tx power
(input to
antenna)
transmit
antenna
gain
propagation
loss
to target
ground
penetration
to target
RCS
of target
ground
penetration
from target
propagation
loss
from target
receive
antenna
gain
Rx power
(output from
antenna)
modeling of propagation loss, ground penetration, RCS does not change
processing of received data changes significantly
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S-F Design Parameters
f 0
f 0 +
Df
f 0 +
2D
f
f 0 +
3 D
f
f 0 +
4 D
f
f 0 +
5 D
f
f 0 +
6 D
f
f 0 +
7 D
f
f 0 +
8 D
f
A11
f11
A21
f21
A31
f31
A41
f41
A51
f51
A61
f61
A71
f71
A81
f81
A91
f91
IDFT
1
2 2 2
c c cR t
N f N fD D
D D
bin2
cR t
30
Range bin size is calculated
from the length of 1 received pulse:
Resolution is calculated from the IDFT
using all N frequencies:
bin,IDFT2
cR R N
f D
D
The imaged distance per range bin is
calculated from the size of the IDFT:
To avoid aliasing,
bin,IDFT bin
12 2
R R
c cf
ft t
D D
t
AN1
fN1
…
…
f 0 +
(N-1
)Df
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S-F Design Parameters
A12 A22 A32
2 2u
c cR T Mt
31
Unambiguous range is calculated
using all M received pulses for 1 frequency:
For stationary targets, t = T (M = 1 range bin) is appropriate.
t < T (which requires faster sampling)
allows for “dead” time between pulses
and/or multiple range bins
(which is useful for tracking moving targets) [1]
A11 A21 A31
A13 A23 A33 t
T
(example, M = 3 bins)
bin2
u
cR R ft t D
Range bin size is calculated
from the length of 1 received pulse:
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S-F Design Parameters
t sets the range bin size
T sets the unambiguous range
Without considering noise/clutter…
32
NDf sets the radar resolution
bin2
cR t bin,IDFT
2
cR
f
D
1f tD
2
cR
N fD
D
2u
cR T
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S-F Design Parameters
A11
f11
A21
f21
A31
f31
A12
f12
A22
f22
A32
f32
A13
f13
A23
f23
A33
f33
Range
bin 1
Range
bin 2
Range
bin 3
All frequencies must be
transmitted & received
before any one range
bin can be resolved.
33
… … … …
N ·T sets the data collection time
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(1) Determine the unambiguous range (total area to be imaged)
and use this distance to calculate T.
bin2
cR t
(2) For moving targets, divide the image into multiple range bins [1].
For stationary targets, choose t = T (M = 1, Ru = Rbin).
2
cR
N fD
D
2u
cR T
(3) Decide the necessary fine resolution (DR) which will dictate
the total received bandwidth that must be captured (NDf).
(5) Choose N according to the maximum
data collection time allowed:
1f tD (4) Obey the (anti-aliasing) rule-of-thumb for maximum frequency steps:
trace
totalT N T
S-F Strategy
34
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Trade-Offs
35
• To improve resolution, increase N·Df… 2R c N fD D
Increasing N increases the data collection time. trace
totalT N T
Increasing Df decreases the range bin size
and, by extension, the overall radar range. bin2 1f c RD
binuR M R
• To increase range, increase T…
Increasing T increases the data collection time. trace
totalT N T
2R c N fD DDecreasing N worsens the radar resolution.
• To shorten data collection time, decrease N ·T…
2uR T c
trace
totalT N T
2R c N fD DDecreasing N worsens the radar resolution.
2uR T c Decreasing T decreases the radar range.
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bin , 200 ns2
u
cR R Tt t
8
9
1500 MHz 500 MHz
3 1015 cm
2 2 10
N f
cR
N f
D
D
D
30 m , 200 ns2
u
cR T T
6 9
1 5 MHz
5 10 10 , 200
f
N N
tD
S-F Example
(1) Choose the range to be imaged:
(2) For stationary targets,
use only 1 range bin:
(3) Use the middle of the SIRE band
to image the target:
(4,5) Use the maximum Df and calculate N:
36
30 ft = 9.1 m
MiniCircuits
CBL-15FT-SMSM+ x2
Tektronix
AWG7052
Lecroy
WM 8300A
HP 778D
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S-F Strategy + Example
(6) Generate a series of frequency steps and transmit them to the target,
one frequency at a time.
40μsN T 1GHzN fD
Note: Since the Rx data
must contain phase vs.
frequency, each frequency
must be transmitted with a
known reference phase.
Tra
nsm
itte
d
37
Note: Since the Rx data is
processed as a scaled
version of the frequency
response of the radar
environment, the Tx power
should be constant vs.
frequency.
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S-F Strategy + Example
(7) Record amplitude & phase for each frequency as it is received.
Receiv
ed
38
Note: I-Q sampling
should be performed at
the end of each Rx pulse
to ensure that the steady-
state response of the
environment is captured.
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S-F Strategy + Example
(8) Zero-pad the data (at frequencies above/below those transmitted).
(9) Perform the inverse discrete Fourier transform (IDFT) on this data set.
(10) Transform time to range using R = t·c/2 .
IDF
T
(measured, 30-ft line
depicted on Slide 34)
39
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Overview
40
• High Range Resolution Radar
• Impulse, Chirp, Stepped-Frequency
• Properties of the Stepped-Frequency Waveform
• Step-Frequency Radar Architecture
• Theory-of-Operation & Basic Design
• Penn State University Design (B. Phelan)
• Transmission, Data Capture, Processing
• Tx/Rx Sequence of Events
• Inverse Discrete Fourier Transform
• Radar Design Parameters
• Resolution, Unambiguous Range
• Design Strategy & Example
• RailSAR
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RailSAR
41
f1 f2 f3 f4
Vtrans
…
f1 f2 f3
Vrec, H-H polarization
…
T
IDFT
Range profile, 1 range bin
Agilent
N9923AN
Port 1
Agilent
N9923AN
Port 2
Vrec
Vtrans
RF
relays
ETS Lindgren
3164-06
horn antennas
digital
I/O
H
V
H
V
Tx
Rx
S211 S212 S213 S214 S215
f 0
f 0 +
Df
f 0 +
2D
f
f 0 +
3 D
f
f 0 +
4 D
f
amplitude
& phase
frequency
…
…
N9
92
3A
N
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Take-Away
42
(1) Stepped-frequency radar is another form of UWB radar that achieves
• high range resolution,
• narrow instantaneous bandwidth, and
• a greater degree of spectrum control than impulse and chirp systems.
(2) The RF SP&M Branch is moving away from impulse radar
and (with the help of PSU) is constructing 2 SFR systems:
• forward-looking vehicle-mounted GPR (SIRE vehicle + antenna mount)
• RailSAR (in Building 207, overlooking the “sandbox”)
(3) The theory-of-operation of an SFR system is
• transmit a wide band of frequencies, one at a time
• capture the frequency response of the radar environment, and
• convert the response to a range profile using the Inverse DFT.
(4) A disadvantage of the SFR technique is that all frequencies
must be received before any one range bin can be imaged.
(5) The most important design equations are 2R c N fD D 2uR T c trace
totalT N T
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References
43
[1] J. D. Taylor, Ultra-Wideband Radar Technology, Boca Raton: CRC Press,
2001. pp. 303-25 (Chapter 11, “High-Resolution Step-Frequency Radar”, by G. S. Gill).
[2] E. F. Knott, J. F. Shaeffer, and M. T. Tully, Radar Cross Section,
Raleigh: Scitech Publishing, Inc., 2004.
[3] B. Phelan, “Design of Spectrally-Versatile Forward-Looking Ground Penetrating
Radar for Detection of Concealed Threats,” ARL Summer Student Report, Aug. 2012.
[4] B. R. Phelan, M. A. Ressler, G. J. Mazzaro, K. D. Sherbondy, and R. M. Narayanan,
“Design of Spectrally Versatile Forward-Looking Ground-Penetrating Radar
for Detection of Concealed Targets,” SPIE Defense, Security, and Sensing 2013,
paper #8714-10, Baltimore, MD, Apr. 2013.
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