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後 卓 越 計 畫 進 度 報 告. Broadband Systems Laboratory Advisor : Prof. Chin-Liang Wang Presented by Yih-Shyh Chiou September 4, 2006. R 1. R 2. R. Why Tracking and Prediction Are Needed in an Indoor Location Estimator (1/2). - PowerPoint PPT Presentation
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1
Broadband Systems Laboratory
Advisor : Prof. Chin-Liang Wang
Presented by Yih-Shyh Chiou
September 4, 2006
後 卓 越 計 畫 進 度 報 告
2
Why Tracking and Prediction Are Needed in an Indoor Location Estimator (1/2)
• Assume that at time t=t1 two people are detected at ranges R1 and R2; on the next sample at time t=t1+T, again two people are detected– The question arises as to whether these two people detected
on the second sample are the same two people or two new people
RR2
R1
3
Why Tracking and Prediction Are Needed in an Indoor Location Estimator (2/2)
1 0; # 1t t n
#1 #21The first sample, t t
• On the nth sample, the people predicted and measured position, and , respectively nynx
1 ( / sec)nx a m
R=R1 R=R2
1The second sample, t t T
#1 #2
ny
; #t T n
1n nx x aT
The prediction window
The distance further away
sampling time = T
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g-h Filter
1, , 1 , 1
1, , 1 1, , 1
* * *
* * * *
( )
( )
n n n n n n
n n n n n n n n
nn
n n
hx x y x
T
x x Tx g y x
• The present velocity and position g-h track update (filtering) equations:
• The g-h transition equations or prediction equations:
• The prediction update equations of the g-h filter
1, , 1, , 1,
* * * * *, n n n n n n n n n nx x x x Tx
, 1
, , 1 , , 1 , 1
*
* * * * *( ), ( ) n n
n n n n n n n n n n
n
n n n
y xx x h x x g y x
T
5
,
ˆ ˆ,
predicted position, velocity
updated position, velocity
measured positionn
x v
x v
y
1 ˆ ˆ
ˆn n n
n n
T
x x v
v v
1
ˆ
( )ˆ ˆ
n n n
n nn n T
x x y x
y xv v
Prediction step
Updating stepˆ ˆ,x v
,x v
ˆ ˆ,new x v
ny
and are tuning constantsbetween 0 and 1
: Measurement has no effect: History has no effect
Filter-
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Properties
• Properties of the g-h tracking filter– Steady-state performance for constant-velocity target– Steady-state response for target with constant acceleration– Tracking errors due to random range measurement error
• To obtain the filter, we can take g-h filter and replace g with and h with
• The tracker is a low-pass filter used to smooth out the effects of measurement noise
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