304 Optimal Estimation of Dynamic Systems
W
−
k+1
≡
Φ
k
U
+
k
Ξ
k
˜
D
−
k+1
≡
D
+
k
0
n×s
0
s×n
E
k
w(1) w(2) ··· w(n)
= W
−T
k+1
c(i)=
˜
D
−
k+1
w(i)
D
−
k+1
(i,i)=w
T
(i)c(i)
d(i)=c(i)/D
−
k+1
(i,i)
U
−
k+1
( j,i)=w
T
( j)d(i), j = 1, 2,...,i −1
w( j) ← w( j) −U
−
k+1
( j,i)w(i), j = 1, 2, ..., i −1
• Process-Noise Colored-Filter
x
k+1
χ
k+1
=
ΦϒH
0 Ψ
x
k
χ
k
+
Γ
0
u
k
+
ϒD
V
ω
k
˜
y
k
=
H 0
x
k
χ
k
+ v
k
• Measurement-Noise Colored-Filter
x
k+1
χ
k+1
=
Φ 0
0 Ψ
x
k
χ
k
+
Γ
0
u
k
+
ϒ 0
0 V
w
k
ω
k
˜
y
k
=
H H
x
k
χ
k
+ D ω
k
+ ν
k
E
&
w
k
ω
k
w
T
k
ω
T
k
'
=
Q 0
0 Q
R = DQD
T
+ R
S =
0 DQ
• Measurement-Noise Colored-Filter (Restricted Case)
χ
k+1
= Ψχ
k
+ V ω
k
v
k
= χ
k
˜γ
k+1
≡
˜
y
k+1
−Ψ
˜
y
k
−H Γu
k
= H x
k
+ V ω
k
+ H ϒw
k
H ≡ H Φ −ΨH
R = VQV
T
+ H ϒQϒ
T
H
T
S = H ϒQ