EE-608 Course project Adaptive Kalman Structure for Passive Undersea Tracking
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EE-608 Course projectEE-608 Course project
Adaptive Kalman Structure for Adaptive Kalman Structure for Passive Undersea TrackingPassive Undersea Tracking
Pannir Selvam E (05407703)Pannir Selvam E (05407703)
Vikram MehtaVikram Mehta
Praveen Goyal (05307810)Praveen Goyal (05307810)
Guided ByGuided By
Prof. U.B. DesaiProf. U.B. Desai
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AIMAIM
To estimate the trajectory of a submarine To estimate the trajectory of a submarine from passive measurements using a Two from passive measurements using a Two Stage Kalman Filter StructureStage Kalman Filter Structure
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Block diagram of Two Stage Kalman Structure Block diagram of Two Stage Kalman Structure
Time Delays
Correlation
Bearing Function
Bearing Filter
Non Linear Range
Function
Time Delay Filter (2)
Time Delay Filter (1)
Range Filter
Time Delay Process Variance
Adaptive Feedback Loop
B̂ R̂
q
n1 n2
nB
Second Stage
Moving Source
RB
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Dynamic model & measurement Dynamic model & measurement equation usedequation used
timeSampling
noiset Measuremen
range unbiased Observed
Noise Process
velocityand range containing State
01
210
111
2
1
T
v
z
a
vx
xz
aT
T
x
x
x
x
k
k
k
k
k
k
k
kk
x
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ReferencesReferences
1.1. ““An Adaptive Two Stage Kalman An Adaptive Two Stage Kalman Structure for Passive Undersea Structure for Passive Undersea Tracking” by Mark R Allen and Louis A Tracking” by Mark R Allen and Louis A King, IEEE Transactions on Acoustics, King, IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 16, Speech and Signal Processing, Vol. 16, No. 1, Jan 1988No. 1, Jan 1988
2.2. Misha SchwartzMisha Schwartz
3.3. Adaptive Filter Theory by Simon HaykinAdaptive Filter Theory by Simon Haykin