anti gps
DESCRIPTION
Anti GPSTRANSCRIPT
by
Mohamed Loey Ramadan
Improving the Performance of Anti-GPS Signal
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Agenda
1. Introduction
2. GPS Tracking
3. GPS Signal Structure
4. Jamming Design Issues
5. Anti-GPS Simulation
6. Conclusion and Future Work
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1.1 What is GPS?
Global Positioning System (GPS) is a satellites based navigation system
made up of a network of 24 satellites.
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1.2 GPS Application
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1.3 What is Anti-GPS ?
Anti-GPS is a technology that prevents the GPS loggers,
trackers and GPS/GSM devices to get GPS positions from
the satellites.
Why ?
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1.4 GPS Misuse
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1.5 GPS in Military
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1.6 Joint Direct Attack Munition
JDAM equipped bombs are guided to their target by an integrated
inertial guidance system coupled with a Global Positioning System
(GPS) receiver for enhanced accuracy
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Agenda
1. Introduction
2. GPS Tracking
3. GPS Signal Structure
4. Jamming Design Issues
5. Anti-GPS Simulation
6. Conclusion and Future Work
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2.1 Definition
Technology allows anyone to track anyone else
using GPS technology.
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2.2 GPS Tracking Types
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2.3 Passive or Logger Tracking Device
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2.4 Real Time or Active Tracking Devices
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2.5 Detecting Tracing Device
Tracking device is the most difficult to detect and
defend against.
These devices can be as small as a matchbook and
can be hidden just about anywhere.
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2.6 Detectors
Radio Frequency (RF) detector/scanner
– Smart R.F. Counter
– Micro Bug Detector
Price from 100-1000$
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2.7 Disadvantage RF Detectors
Only detects the transmissions of the GPS device
when the device is actually transmitting.
Difficult to block and see GPS tracking devices.
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2.8 GPS JAMMING SIGNAL
Anti-GPS is a advice that prevents the GPS
devices from getting positions from satellites.
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2.8 GPS Jamming Signal
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Agenda
1. Introduction
2. GPS Tracking
3. GPS SIGNAL STRUCTURE
4. JAMMING DESIGN ISSUES
5. Anti-GPS Simulation
6. Conclusion and Future Work
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3.1 Definition
To design a simulation software for GPS signals. It
is necessary to know the characteristics of the signal
and data transmitted from the GPS satellites and
received by the GPS receiver antenna.
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3.2 GPS Signal Characteristics
GPS signals are Ultra High Frequency (UHF), UHF
band from 500 MHz to 3 GHz.
GPS navigation data has a bit rate of 50 bps.
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3.2 GPS Signal Characteristics
GPS signals have two codes
– C/A (coarse acquisition) code is 1,023 bits long a pseudo random code (PRN) which looks like a random code but is clearly defined for each satellite.
– P(Y) code is 6.1871 × 1012 bits long a PRN To prevent unauthorized users
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3.2 GPS Signal Characteristics
Carrier signal is:– L1=1575.42 MHz– L2=1227.60 MHz
Carrier signal and data signals are modulated using binary phase shift keying (BPSK)
L1 carry C/A + P(Y) code but L2 only carry P(Y) code
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3.2 GPS SIGNAL STRUCTURE
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Agenda
1. Introduction
2. GPS Tracking
3. GPS Signal Structure
4. Jamming Design Issues
5. Anti-GPS Simulation
6. Conclusion and Future Work
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4.1 Definition
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4.1 JAMMING DESIGN ISSUES
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4.3.1 Accuracy
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4.3.2 Frequency
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4.3.3 Pulse
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4.3.4 Modulation
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4.3.5 Jamming Signal Ratio (J/S) Range
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4.4 Jamming Signals
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4.4.1 Amplitude Modulation
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4.4.2 Frequency Modulation
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4.4.3 Band-limited White Noise
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Agenda
1. Introduction
2. GPS Tracking
3. GPS Signal Structure
4. Jamming Design Issues
5. Anti-GPS Simulation
6. Conclusion and Future Work
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5.1 Anti-GPS Simulation
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5.2 Anti-GPS Fuzzy Controller
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5.2.1 Membership Functions
A curve that defines how each point in the input
space is mapped to a membership value (or degree
of membership) between 0 and 1.
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5.2.1.1 Frequency Membership Function
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5.2.1.2 Pulse Repetition Frequency Membership Function
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5.2.1.3 Duty Cycle Frequency Membership Function
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5.2.1.4 GPS Error Signal Membership Function
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5.2.1.5 Jamming/Signal Membership Function
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5.2.1.6 Frequency Offset Membership Function
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5.2.1.7 Jamming Signal Membership Function
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5.2.2 Anti-GPS Fuzzy Controller Rules
1. If (GPSErrorSiganl is not Good) then (JammingSignal is NotAffect)
2. If (GPSErrorSignal is Good) and (Frequency is Same) and (pulseRepetitionFrequency is Medium) and (Duty is Medium) and (JammingSignalRatio is Medium) and FrequencyOffset is Inside) then (JammingSignal is Affect)
3. If (PulseRepetitionFrequency is VerySmall) or (DutyCycle is VerySmall) Then (JammingSignal is NotAffect)
4. If (PulseRepetitionFrequency is VeryLarge) or (DutyCycle is VeryLarge) Then (JammingSignal is Continues)
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5.2.2 Anti-GPS Fuzzy Controller Rules
5. If (FrequencyOffect is not Inside) then (JammingSignal is NotAffect)
6. If (JammingSignalRatio is Low) then (JammingSignal is NotAffect)
7. If (JammingSignalRatio is High) then (JammingSignal is NotAffect)
8. If (Frequecy is High) then (JammingSignal is NotAffect)
9. if (Frequency is Low) then (JammingSignal is NotAffect)
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5.2.3 Anti-GPS Fuzzy System Controller
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5.3 Modeling Process
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5.4 Jamming Signal Simulation
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5.4.1 Band-Limited White Noise
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5.4.1 Band-Limited White Noise
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5.4.1 Band-Limited White Noise + GPS Signal
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5.4.2 FM Jamming Signal
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5.4.2 FM Jamming Signal
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5.4.2 FM Jamming Signal +GPS Signal
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5.4.3 Multiband-Limited White Noise
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5.4.3 Multiband-Limited White Noise
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5.4.3 Multiband-Limited White Noise
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5.5 Anti-GPS in A Laboratory Environment
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5.6 Test Results
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5.6 Test Results
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5.6 Test Results
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5.6 Test Results
ComparisonsBand –limit white noise
Frequency modulation
Multi-Band limit white
noise
Noise PowerLowHighMedium
Jamming PowerHighLowMedium
Jamming DetectionEasyToo HardHard
Data DestroyLowMediumHigh
Anti-JammingEasyHardToo Hard
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Agenda
1. Introduction
2. GPS Tracking
3. GPS Signal Structure
4. Jamming Design Issues
5. Anti-GPS Simulation
6. Conclusion and Future Work
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6.1 Conclusion
We recommend our proposed with new schema called Multiband-limit white noise as:
– It has multi channel of band-limit white noise so it more jamming signal.
– It is difficult to detect using anti-jamming.
Develop new fuzzy controller that simulate jamming controller in laboratory test.
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6.2 Contributions
HESHAM N. ELMAHDY and MOHAMED L. Ramadan, “Improving the Performance of Anti-GPS Signal,”, In Proceedings of WSEAS SIP 09: The 8th World Scientific and Engineering Academy and Society international conference on Signal Processing , Istanbul, Turkey, June 2009.
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6.3 Future work
Simulate more complex and strong jamming GPS signal with less
power consume.
Make jamming controller using neuro-fuzzy.
Make our simulation result in laboratory test.
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