unclassified 6/26/2015 huntsville, alabama slide 1 stab propation analysis status summary &...
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UNCLASSIFIED
UNCLASSIFIED04/18/23
Huntsville, Alabama
Slide 1
STAB Propation AnalysisStatus Summary &Emerging Results
James Dawson
6/1/01
UNCLASSIFIED
UNCLASSIFIED04/18/23
Huntsville, Alabama
Slide 2
(U) STAB Communication Assessment Objectives:
Assess the capability of STAB and related laser technologies for basis of battlefield communication network
Determine to what degree will rain, fog, smoke, dust, terrain, and other obscurants degrade laser communications
Define & compute the probability of “successful communication” under varying weather data
Period of Performance: 6 Mar 2001 - 18 Dec 2001
Resources:
2435 Labor Hours ($138,721.95)
Travel ($6,600)
ODCs ($4678.05)
Total: $150,000
COTR: Mr. Brian Matkin, Smart Weapons Management Office
Deliverables:
Final Technical Report (Communications Study)
IPRs
Final Briefing
Monthly Performance and Cost Reports
Technical and Management Work Plan
UNCLASSIFIED
UNCLASSIFIED04/18/23
Huntsville, Alabama
Slide 3
(U) ESSENTIAL ELEMENTS OF ANALYSIS
Determination of Link Parameters
Characterization of “Reasonable” Technological Capability
Impact of Complex Atmospheric Phenomenology:
Atmospheric Turbulence and Corrective Techniques
Natural and Induced Aerosol (Smoke, Dust, Fog, Cloud)
Terrain Effects
Mitigation Techniques
Determination of Appropriate Models
Availability of Propagation Measurements for Model Verification
Communication Topology Implications
Requirements for Nearest Neighbor Maximum Separation
Determination of Link Parameters
Characterization of “Reasonable” Technological Capability
Impact of Complex Atmospheric Phenomenology:
Atmospheric Turbulence and Corrective Techniques
Natural and Induced Aerosol (Smoke, Dust, Fog, Cloud)
Terrain Effects
Mitigation Techniques
Determination of Appropriate Models
Availability of Propagation Measurements for Model Verification
Communication Topology Implications
Requirements for Nearest Neighbor Maximum Separation
UNCLASSIFIED
UNCLASSIFIED04/18/23
Huntsville, Alabama
Slide 4
PARAMETERS
• Laser Power
• Wavelength
• Receiver Sensitivity
• Beam Dispersion
• Terrain Data
• Geographic Location
• Weather Data
• Grid Altitude
• Separation Distance
MOEs/MOPs
• Propagation Range Limits for Various Conditions
• Network Robustness
• Link Availability
• Probability of Successful Communication
• Percent of Grid that Can Communicate
(U) KEY PARAMETERS AND MOEs/MOPs
UNCLASSIFIED
UNCLASSIFIED04/18/23
Huntsville, Alabama
Slide 5
Coordination With DARPA, SMDC, & STAB Contracts Will Be Coordination With DARPA, SMDC, & STAB Contracts Will Be MaintainedMaintained
Coordination With DARPA, SMDC, & STAB Contracts Will Be Coordination With DARPA, SMDC, & STAB Contracts Will Be MaintainedMaintained
• Review, survey, and select appropriate models
• Obtain models and make operational
• Refine appropriate Essential Elements of Analyses (EEAs) and MOEs/MOPs
• Obtain weather & terrain data for appropriate regions such as NEA and SEA
• Obtain all needed parameters for laser communication links and network
• Determine appropriate weather states and probabilities of occurrence
• Develop definitions of weather states including spatial structure
• Determine operational configuration of network
• Identify and model all mechanisms for SNR degradation
• Solve for maximum range for successful communication for each weather state and altitude
• Determine probability of successful communication given operationally constrained separation distances
• Perform limited sensitivity study by varying laser parameters
• Document assessment in briefing and final report
(U) METHODOLOGY
UNCLASSIFIED
UNCLASSIFIED04/18/23
Huntsville, Alabama
Slide 6
Review, survey, and select models
Obtain models and make operational
Obtain weather & terrain data
Determine laser link parameters
Determine weather states & probabilities
Develop definitions of weather states including spatial structure
Determine operational configuration
Identify and model SNR degradations
Solve for max range for successful communication
Determine prob. of successful comm.
Constrain separation based on operational requirements
Perform limited sensitivity study by varying laser parameters
Refine EEAs and MOEs/MOPs
Document assessment in briefing and final report
(U) METHODOLOGY
UNCLASSIFIED
UNCLASSIFIED04/18/23
Huntsville, Alabama
Slide 7
Atmospheric PhenomenologyAtmospheric PhenomenologyAtmospheric PhenomenologyAtmospheric Phenomenology
(U) Models/Data To Be Considered
HITRAN: Compilation of spectroscopic parameters used by models to predict
transmission & emission of light in the atmosphere Hi-resolution, supports analysis of molecular absorption of laser lines
FASCODE: First principles, line-by-line atmospheric radiance and transmittance code
PROTURB: Developed by the Battlefield Environment Directorate of Army Research
Laboratory Calculates an estimate of optical turbulence strength Effects on laser system performance
EOSAEL: e.g. COMBIC: Combined Obscuration Model for Battlefield Induced
Contaminants
HITRAN: Compilation of spectroscopic parameters used by models to predict
transmission & emission of light in the atmosphere Hi-resolution, supports analysis of molecular absorption of laser lines
FASCODE: First principles, line-by-line atmospheric radiance and transmittance code
PROTURB: Developed by the Battlefield Environment Directorate of Army Research
Laboratory Calculates an estimate of optical turbulence strength Effects on laser system performance
EOSAEL: e.g. COMBIC: Combined Obscuration Model for Battlefield Induced
Contaminants
UNCLASSIFIED
UNCLASSIFIED04/18/23
Huntsville, Alabama
Slide 8
(U) Propagation Effects
Turbulence Molecules Particulates Water DropletsFocus &Aperture
Sensitivity& Aperture
Transmitter/Receiver Separation (Range)
Alignment Errors
• oxygen• nitrogen• water vapor• carbon dioxide• trace gases
UNCLASSIFIED
UNCLASSIFIED04/18/23
Huntsville, Alabama
Slide 9
AEROSOLS
(SMOKE,
DUST,CHAFF)
DRY WET FROZEN
GROUND CLUTTER
EVAPORATION
(HUMIDITY)
(RAIN)
WIND
VEGETATION SNOW COVER
SOLAR LOADING
SIGNATURE(ALTERATION)
TURBULENCE
PRECIPITATION
(SNOW)
CONDENSATION
(CLOUDS/FOG)
(U) Propagation Issues
UNCLASSIFIED
UNCLASSIFIED04/18/23
Huntsville, Alabama
Slide 10
M A M J J A S O N D
PERIOD OF PERFORMANCEACTIVITY/ACTION
Contract Award
Kick-off Meeting
Develop EEAs andMOPs/MOEs
Obtain Req’d Data & Models
Develop Network Operational Config.
Define & Evaluate Weather States
Parametric Analysis
In-Process Reviews
Develop Solutions for Max. Prop. Range
Technical Report Draft Final
(U) SCHEDULE
UNCLASSIFIED
UNCLASSIFIED04/18/23
Huntsville, Alabama
Slide 11
(U) Network Communication Studies NRC did laser propagation
study
4 types of links (sat/blimp/ground)
Times of 5 min to 6 hrs.
Limited by dense fog data available supports 4 km
range determination
Any “better” condition than fog can be handled How often is that the case?
Need to look at intervisibility as “random” effect independent of weather effect spatially uncorrelated?
Choose Grid “Size” (spacing) 3 - 4 km in fog expected size
Vary height relative to terrain+vegetation Need DTED and Vegetation data
Recommend platforms for gridded network aerostat
aircraft
masted ground stations
Topology with Smart Controllers Seeking 95% operability
UNCLASSIFIED
UNCLASSIFIED04/18/23
Huntsville, Alabama
Slide 12
0.0001
0.001
0.01
0.1
1
10
100
1000
0 2 4 6 8 10Exit & Entrance Aperture Diameter (cm)
Re
qu
ire
d T
ran
sm
itte
d P
ow
er
(mW
)
10
100
1000
10000
Div
erg
en
ce (
rad
)
Trans. Power
Beam Divergence
Output Power Requirements, Ideal Environment
• Assumptions– Uniform Beam– Diffraction Limited– Shot-Noise Limited– No Background
2R
2T
2
22
RT aa
RPP
hc
SNRPR
• Parameters– Bandwidth: Dn=1 GHz– Wavelength: l=1.55 mm– Signal-to-noise: SNR=10– Range: R=4 km– Transmit Aperture Radius: aR (varies)– Receive Aperture Radius: aT (varies)– Constraint: aR = aT
Diffraction LimitBeam Propagation
Shot-LimitedPhoton Detection
• Assumptions (cont)– No Attenuation– No Turbulence– Perfect Alignment
UNCLASSIFIED
UNCLASSIFIED04/18/23
Huntsville, Alabama
Slide 13
0
5
10
15
20
25
30
1.00E-15 1.00E-14 1.00E-13
Cn2 (m -2/3)
r 0 (c
m)
Turbulence Effects on Beam Divergence
53
2n
560 RC
8
3185.0r
Weak Moderate Strong
Fried’s Coherence Diameter(Determines maximum effective
size of output aperture)
0.0001
0.001
0.01
0.1
1
10
100
1000
0 2 4 6 8 10Exit & Entrance Aperture Diameter (cm)
Re
qu
ire
d T
ran
sm
itte
d P
ow
er
(mW
)
10
100
1000
10000
Div
erg
en
ce (
rad
)
Trans. Power (max turb)
Trans. Power (no turb)
Beam Divergence (max turb)
Beam Divergence (no turb) Beam DivergenceNot Degraded by Turbulence
For Aperture Diameters < ~2 cm
Effects of Turbulence on Pointing (jitter) and Fading
(scintillation) Remain Significant Issues
Effects of Turbulence on Pointing (jitter) and Fading
(scintillation) Remain Significant Issues
UNCLASSIFIED
UNCLASSIFIED04/18/23
Huntsville, Alabama
Slide 14
0.986
0.986
0.986
0.986
0.987
0.987
0.987
0.987
0.987
0.988
-10 0 10 20 30 40 50 60
Temperature (C)
Tra
ns
mis
siv
ity
Molecular Absorption Effects
Computations Based on LZTRAN Module from EOSAEL-
92
Computations Based on LZTRAN Module from EOSAEL-
92
• Parameters– Pressure: 1013.3 mb– H20 Vapor: 2.596 mb– Range: 4 km– Wavelength: 1.54 mm
UNCLASSIFIED
UNCLASSIFIED04/18/23
Huntsville, Alabama
Slide 15
NEA Terrain Analysis
SOUTHERN
KOREA
WEST
EAST COAST
126° E
126° E
128° E
128° E
40° N
38° N
36° N
40° N
38° N
36° N
Northeast Asia Climatic Zones
Northeast Asia Climatic Zones
DTED Level 1(1 deg x 1 deg)
DTED Level 1(1 deg x 1 deg)
Sample Terrain Relief Profile
Sample Terrain Relief Profile
Analysis Tool For Terrain Intervisibility Utilized to Determine
Grid Performance
Analysis Tool For Terrain Intervisibility Utilized to Determine
Grid Performance
UNCLASSIFIED
UNCLASSIFIED04/18/23
Huntsville, Alabama
Slide 16
Example Terrain Intervisibility ResultsLOS Vs. Terrain
(Off-set = 60m)
0
50
100
150
200
250
300
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44
Pixels
Ele
vati
on
(m
)
LOS Vs. Terrain (Off-set = 0m)
520
540
560
580
600
620
640
660
680
700
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44
Pixels
Ele
vati
on
(m
)
Effects of Sensor Off-set on LOS(4km Range)
0
10
20
30
40
50
60
70
80
90
100
0 20 40 60 80 100 120 140 160
Sensor Off-set (m)
Per
cen
t L
OS
Effects of Range of LOS(60 m Sensor off-set)
0
10
20
30
40
50
60
70
80
90
100
0 5 10 15 20 25
Range (km)
Per
cen
t L
OS
UNCLASSIFIED
UNCLASSIFIED04/18/23
Huntsville, Alabama
Slide 17
Terrain Intervisibility Results: Regional Comparisons
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0.1 1 10 100 1000
Height Offset
Pro
bab
ility
of
LO
S 0.5 km1.0 km1.5 km2.0 km2.5 km3.0 km3.5 km4.0 km4.5 km5.0 km
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0.1 1 10 100 1000
Height Offset
Pro
bab
ility
of
LO
S 0.5 km1.0 km1.5 km2.0 km2.5 km3.0 km3.5 km4.0 km4.5 km5.0 km
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0.1 1 10 100 1000
Height Offset
Pro
bab
ility
of
LO
S 0.5 km1.0 km1.5 km2.0 km2.5 km3.0 km3.5 km4.0 km4.5 km5.0 km
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0.1 1 10 100 1000
Height Offset
Pro
bab
ility
of
LO
S
0.5 km1.0 km1.5 km2.0 km2.5 km3.0 km3.5 km4.0 km4.5 km5.0 km
Ft. Hunter Liggett
National Training Center
NorthEast Asia
SouthWest Asia
UNCLASSIFIED
UNCLASSIFIED04/18/23
Huntsville, Alabama
Slide 18
Terrain Intervisibility Results: Regional Summaries
0
20
40
60
80
100
120
140
0 1 2 3 4 5 6
Range
Off
se
t H
eig
ht
for
PL
OS=5
0%
NEA
SWA
FHL
NTC
0
50
100
150
200
250
0 1 2 3 4 5 6
Range
Off
se
t H
eig
ht
for
PL
OS=7
0%
NEA
SWA
FHL
NTC
0
50
100
150
200
250
300
350
0 1 2 3 4 5 6
Range
Off
se
t H
eig
ht
for
PL
OS=9
0%
NEA
SWA
FHL
NTC
Offset Height Required for PLOS=70%
Offset Height Required for PLOS=70%
Offset Height Required for PLOS=50%
Offset Height Required for PLOS=50%
Offset Height Required for PLOS=90%
Offset Height Required for PLOS=90%
SWA and NEA represent extreme conditions for achieving accept LOS conditions for LaserCom
SWA and NEA represent extreme conditions for achieving accept LOS conditions for LaserCom
UNCLASSIFIED
UNCLASSIFIED04/18/23
Huntsville, Alabama
Slide 19
(U) Statistical Grid Analysis: No “Controllers”
N
M
Number of nodes with 4 neighborss is (M-2)(N-2)=12Number of nodes with 3 neighborss is 2(M+N-4)=16Number of nodes with 2 neighbors is 4Total of M*N nodesProbability of successful link is PFor grid to work, each node must have at least one
good link to a neighboring node
Number of nodes with 4 neighborss is (M-2)(N-2)=12Number of nodes with 3 neighborss is 2(M+N-4)=16Number of nodes with 2 neighbors is 4Total of M*N nodesProbability of successful link is PFor grid to work, each node must have at least one
good link to a neighboring node
2N2M4link
4NM23link
42linkgrid P11P11P11P
Simple MxN Grid Topology
Simplified prediction of grid performance based on statistical independence
UNCLASSIFIED
UNCLASSIFIED04/18/23
Huntsville, Alabama
Slide 20
(U) Prediction of Grid Performance vs. Link Reliability
0
0.2
0.4
0.6
0.8
1
0 0.2 0.4 0.6 0.8 1
Link Reliability
Ne
two
rk R
elia
bili
ty
16x16
32x32
8x8
4x4
16x4
• The network will be less sensitive to low-altitude link degradations if there are fewer nodes (covers less area)
• Slant links to elevated “controllers” or relay nodes could tie teams (mini grids) together– Less likely to have terrain
blockage since grid size is reduced
– Controller need only “see” one node in each team
– One issue is cloud coverage problem