Title: US-Australia MOA Meeting October 2005
1US-Australia MOA Meeting October 2005
Oguz Kazanci and Jeffrey Krolik Duke
UniversityDepartment of Electrical and Computer
EngineeringDurham, NC 27708 Supported by the
CNTPO RD Program
2Array Beam Pattern with Missing Sensors
- Faulty receive elements can degrade the beam
pattern significantly depending on their
locations in the array. - Beam pattern with 8 missing sensors exhibits 7 dB
higher peak sidelobes and up to 20 dB higher
off-angle sidelobes compared to a full array. - Compensation of missing sensors intended to
reduce leakage of interferences and
azimuthally-dependent Doppler-shifted clutter
into target directed beam.
3Element-Space Adaptive Channel Compensation (ACC)
- Using good sensors to MMSE interpolate missing
elements does not explicitly minimize sidelobe
leakage and thus only indirectly mitigates bad
channels. - Idea Adaptively reconstruct full-array snapshot
such that interference leakage into nominally
quiet directions is minimized. - Adaptive channel compensation (ACC) minimizes
interference leakage into quiet plane-wave
directions subject to the constraint that the
data distortion at the good elements is within
some tolerance.
- Effect of ACC is to make interferers look more
like plane-waves across the full-array which can
then be effectively nulled by conventional
beamformer shading.
4Doppler-Azimuth Spectrum Element-Apace ACC
- The Doppler-Azimuth plots for Conventional (left)
and Elementspace ACC from 12 Dec, 2001. Dwell
171142 - Note the sidelobes of the strong interference in
the transmitter mainlobe leaking into other
directions. With element-space ACC, sidelobe
reduction greatest in transmitter sidelobe versus
mainlobe region. - Element-space ACC computation time prohibitive.
E.g. 2 s to process 372 element array (1x372
data) for 124 Dwells, 128 Doppler bins t
124x128x2 sec 8.8 hours!
5Beamspace Adaptive Channel Compensation
- Motivated by the need to constrain ACC to
minimize leakage of interference into receive
directions covered by the transmit mainlobe where
target detection is performed. - Beamspace ACC adaptively reconstructs the receive
beams of the full array in the transmit mainlobe
region so that strong directional components have
minimal leakage into adjacent beams, subject to
the constraint that data distortion at the good
elements is within some tolerance. - Beam-space ACC facilitates suppression of
interferences which are present or have leaked
into conventional receive beams. - Because matrices to invert and decompose are of
dimension equal to the number of beams (e.g. 18)
vs. the number of elements (e.g. 372), beamspace
ACC is much faster for large receive arrays. - For ROTHR data, beamspace ACC is 40 times
faster than element-space ACC (e.g. what took 4
hours now takes 6 minutes) and 5 times faster
than MMSE. Time per range/Doppler cell is 45 ms. - Choice of tolerance parameter determines the
trade-off between leakage of mainlobe clutter
into adjacent beams and signal wavefront
distortion.
603 Aug 2004 Rocket Data Analysis Using BACC
- 03 August 2004 PBIQ data 061555 to 062859
collected using ROTHR Virginia to illuminate the
Kennedy space center. - One of the receive shelters was offline, so 32
receivers near the middle of the array have gone
bad. - The geo-display on the left shows the location of
the rocket at 061859.
7Identifying the Faulty Sensors
- Covariance matrix (averaged over all Doppler and
range bins), indicates there are faulty sensors
undetected by system. - BACC software treats all sensors with normalized
power above or below 3 dB deviation as faulty.
8Doppler vs. Dwell Displays for Rocket Launch
- Scroll Displays (Doppler vs. Time) at target
range and azimuth showing the rocket movement
from 061555 to 061915. - Conventional (left) and BACC (right)
- Note that BACC shows a clean track of the rocket
with reduced noise.
9Scroll Display for Conventional Processing
- Conventional Scroll Display
- Note the sidelobe levels especially at Dwells 6,
8, 12, 21, 25, 29, 34 are reduced considerably
using BACC.
10Scroll Display for Beamspace ACC Processing
- BACC Scroll Display
- Note the sidelobe levels especially at Dwells 6,
8, 12, 21, 25, 29, 34 are reduced considerably
using BACC.
11Conventional vs. BACC Range-Doppler Surface for
Dwell 8
- The Range-Doppler plots for Dwell 8 at 061638
- Conventional (left) BACC (right)
- The location of the rocket is shown with a
circle. - The rocket cannot be seen clearly using
conventional procedure.
12Power vs. Range and Doppler Plots for Dwell 8
- Range and Doppler cuts at target Doppler, Range
for Dwell 8 at 061638 - The rocket is shown with the arrows.
- Range cut (left) for conventional (red) and BACC
(blue) at Doppler -10.78 Hz - Doppler cut (right) for conventional (red) and
BACC (blue) at Range bin 41 - Note the 10-15 dB reduction in the sidelobes with
BACC.
13Conventional vs. BACC Range-Doppler Surface for
Dwell 21
- The Range-Doppler plots for Dwell 21 at 061756
- Conventional (left) BACC (right)
- The location of the rocket is shown with a
circle. - The rocket cannot be seen clearly using
conventional procedure.
14Power vs. Range and Doppler Plots for Dwell 21
- Range and Doppler cuts at target Doppler, Range
for Dwell 21 at 061756 - Range cut (left) for conventional (red) and BACC
(blue) at Doppler -8.95 Hz - Doppler cut (right) for conventional (red) and
BACC (blue) at Range bin 42 - Note the reduced sidelobes and sharper peaks with
BACC.
15Conventional vs. BACC Range-Doppler Surface for
Dwell 29
- The Range-Doppler plots for Dwell 29 at 061845
- Conventional (left) BACC (right)
- The rocket cannot be seen at all using
conventional procedure. - The sidelobes are reduced more than 10 dB and as
a result the rocket can be seen with BACC.
16Power vs. Range and Doppler Plots for Dwell 29
- Range and Doppler cuts at target Doppler, Range
for Dwell 29 at 061845 - Range cut (left) for conventional (red) and BACC
(blue) at Doppler -10.58 Hz - Doppler cut (right) for conventional (red) and
BACC (blue) at Range bin 42 - Note that the target can be seen clearly with
BACC.
17Conventional vs. BACC Range-Doppler Surface for
Dwell 34
- The Range-Doppler plots for Dwell 34 at 061915
- Conventional (left) BACC (right)
- The location of the rocket is shown with a
circle. - The rocket can be seen clearly using BACC.
18Power vs. Range and Doppler Plots for Dwell 34
- Range and Doppler cuts at target Doppler, Range
for Dwell 34 at 061915 - The rocket is shown with the arrows.
- Range cut (left) for conventional (red) and BACC
(blue) at Doppler -10.78 Hz - Doppler cut (right) for conventional (red) and
BACC (blue) at Range bin 41 - Note that the sidelobes are decreased
significantly with BACC.
19Conventional vs. BACC Doppler-Azimuth Surface for
Dwell 29
- Doppler-Azimuth plots for the transmitter
mainlobe region for Dwell 29 - Conventional (left) and BACC (right)
- Rocket is shown with a circle.
- The sidelobe leakage from the directional
interference into the other beams is reduced
using ACC, as a result the target can be seen
clearly.
20Conventional vs. BACC Doppler-Azimuth Surfaces
for Dwell 23
- Doppler-Azimuth plots for the transmitter
mainlobe region for Dwell 23 - Conventional (left) and BACC (right)
- The leakage of the sidelobes from the
interference is reduced considerably
21Summary and Conclusion
- Adaptive channel compensation (ACC) of faulty
sensors important when directional clutter and/or
interference present. - ACC performed on a single snapshot of
post-Doppler processed data which avoids the
training snapshot requirements of adaptive
beamforming solutions. - ACC proposed as a means of compensating the
entire array so that strong interferers made to
look more like uncorrelated plane-waves which can
then be suppressed by conventional beamformer
shading. - Unlike element-space ACC, which suppresses the
sidelobe leakage from all directions, Beam-space
ACC is focused on the transmitter mainlobe where
the detection is performed. - The analysis of 03 Aug 2004 rocket launch data
shows that BACC suppresses sidelobes as much as
10-15 dB in some dwells, and improves detection
of the target significantly. - Mathematical formulation of BACC can be applied
to sparse array beamforming with potential
application to 2-D receive arrays.