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Communication Technology LaboratoryWireless Communication Group
Partial Channel State Information and Intersymbol Interference in Low Complexity UWB PPM Detection+
T. Zasowski, F. Troesch, A. Wittneben
12. MCM of COST 289
October 30-31, 2006
+ has been published in part at ICUWB, September 2006, Waltham/Boston, USA
2 Communication Technology LaboratoryWireless Communication Group
Outline
• Introduction– Motivation– Intersymbol Interference aware ML symbol detection with partial
channel state information
• Performance without Intersymbol Interference– MLfull, MLIDPD, MLAPDP
• Performance with Intersymbol Interference– MLfull,ISI, MLIDPD,ISI, MLAPDP,ISI
– Energy detector with MLSE
• Conclusions
3 Communication Technology LaboratoryWireless Communication Group
Wireless Body Area Network
• sufficient link margin (>25dB) within FCC constraints
• reasonable excess path delay (<20ns)
• low data rate: throughput < 1Mbps
• ultra low power consumption:– low duty cycle, i.e. high peak
data rate (50Mbps): ISI
– low complexity modulation and detection
• robustness to synchronization errors
• 2-PPM impulse radio• single pulse per bit• symbol-wise (energy) detector• Goal: get intuition on the
impact of partial CSI in the presence of ISI
4 Communication Technology LaboratoryWireless Communication Group
Partial Channel State Information
• full CSI– (discrete) channel impulse response known at the receiver
• instantaneous power delay profile (IPDP)– only magnitude of the real channel taps known at RX– measured after squaring device of energy detector receiver
• average power delay profile (APDP)– average power of each channel tap known at RX
• no CSI– average energy of channel impulse response known at RX
5 Communication Technology LaboratoryWireless Communication Group
Discrete System Model
2-PPM channel v t z t
v t
12 1
1 / 2
s t T
s t T T
t
Detector
w t
s s S
P
2
k
B
N
d
Bf
observationwindow / 2T N B
h
g
/ 2T
t
6 Communication Technology LaboratoryWireless Communication Group
Intersymbol Interference Aware Symbol-Wise ML Detection with Partial Channel State Info
• observation vector : one PPM frame
• statistically independent normal channel taps– diagonal correlation matrices
• maximum length of discrete channel impulse response: T
• symbolwise -ML decision variable with partial CSI C
/ 2T T0
0 1;s s
1; 1
1; 1
1; 1
1; 1
h
g
PPM frame 1
;T Thh ggE h h E g g
1x
2x
3x
4x
d
3 4
1 2
3 4
1 2
lnx C x C
x C x C
E p d x E p d xL
E p d x E p d x
d
7 Communication Technology LaboratoryWireless Communication Group
Outline
• Introduction– Motivation– Intersymbol Interference aware ML symbol detection with partial
channel state information
• Performance without Intersymbol Interference– MLfull, MLIDPD, MLAPDP
• Performance with Intersymbol Interference– MLfull,ISI, MLIDPD,ISI, MLAPDP,ISI
– Energy detector with MLSE
• Conclusions
8 Communication Technology LaboratoryWireless Communication Group
Special Case: Decision Metrics without ISI
• full CSI:
• instantaneous power delay profile:
• average power delay profile:
– for : energy detector
/ 2T T0
1s
1
1
h
3, 1,
2 21
ln cosh ln coshN
k k k k
k
d x d xL
3 1T TL x d x d
1 2x x
3 4x x
C h
C abs h
h
2 2/ 2
2 2/ 2 1 1, ,
2
,
1 / 1 /
with
N Nk k
k N kh k h k
h k k
d dL
E h
• ISI metrics in paper
,h kC
,h k const
d
9 Communication Technology LaboratoryWireless Communication Group
• after the unitary transformation H we obtain the statistically equivalent decision variable
– performance independent of "shape" of impulse response
• excess noise due to excess dimensions
ED: Energy Detector
• uses the decision variable
– with
• a unitary transformation H has no impact on the error performance
• we choose H such, that
• without ISI we have for s1=-1
1 1 2 2T TL d d d d
1 1 / 2
2 / 2 1
[ ]
[ ]
TN
TN N
d d d
d d d
[ 0 0]ThH h E
2 2
1 1 21 [ 0 0]ThL s E w w
2
21,1
/ 22 22
2
,
,
,
1
1
12
1
N
i
h
ii
w
w
L s
E w
w
same as N/2=1
statistically independent zero mean noisefrom excess dimensions
1 1
2 2
d h w
d w
10 Communication Technology LaboratoryWireless Communication Group
• without ISI we obtain for IPDP
• for MLfull
• as L(s1=1)<0 causes a decision error => loss for IPDP
/ 2
1 2, 1,1
2,
/ 22
1 2, 1,1
1
for <
1
N
k k k kk
k k
N
k k k k kk
L s h n n h
n h
L s h n h n h
MLIPDP: Instantaneous Power Delay Profile
• in the high SNR regime we obtain the approximation
• compare to MLfull
/ 2
/ 21
N
k N k kk
L d d h
/ 2
/ 21
N
k N k kk
L d d h
/ 2
1 2, 1,1
/ 22
2, 1,1
1N
k k k kk
N
k k k k kk
L s h n n h
h n h n h
11 Communication Technology LaboratoryWireless Communication Group
Performance Results without ISI
• based on physical system (continuous time)
– PPM frame duration T=20ns
– 10dB-bandwidth B10=3GHz
• uniform power delay profile– max. delay: 10ns
• equivalent discrete model has N/2=60 i.i.d. normal channel taps
• energy of each channel realization normalized to 1
– MLfull performance same as AWGN
– emphasizes impact of PDP
• minor improvement with IPDP• ED performance sufficient
12 Communication Technology LaboratoryWireless Communication Group
Outline
• Introduction– Motivation– Intersymbol Interference aware ML symbol detection with partial
channel state information
• Performance without Intersymbol Interference– MLfull, MLIDPD, MLAPDP
• Performance with Intersymbol Interference– MLfull,ISI, MLIDPD,ISI, MLAPDP,ISI
– Energy detector with MLSE
• Conclusions
13 Communication Technology LaboratoryWireless Communication Group
MLfull,ISI-Symbol-Wise Detector: Considers ISI
• energy per bit:• impulse crosscorrelation:
• free Euclidean distance:
2 bE
2 2b gE E a 2 2bE a
gE1x
2x
3x
4x
2 2b gE E a
T TbE h h g g
Ta g h
2,1 2 2free b gd E E a
/ 2T T0
0 1;s s
1; 1
1; 1
1; 1
1; 1
h
g
1x
2x
3x
4x
d
• decision regions adapted to ISI• requires three correlators
14 Communication Technology LaboratoryWireless Communication Group
MLfull-Symbol-Wise Detector: ignores ISI
• decision variable
– mismatched to ISI
– requires only one correlator
• free Euclidean distance:
• for a=0 we obtain for the loss w.r.t the ISI aware metric
2hE
1
2T
h
hL d
Eh
4x
2h
h
E a
E
2hE
2x
2h
h
E a
E
1x
3x
2
2,2
max( ,0)2 h
freeh
E ad
E
2,2
2 12,1
1free b g
free b g
d E E
d E E
• optimal without ISI ( )
• for a=0 and Eh=Eg: 1.8dB loss in comparison to MLfull,ISI
0g
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• decision metric for uniform PDP (energy detector)
• without additive noise we obtain e.g. for s1= -1
High SNR performance of MLAPDP (ignores ISI)
/ 22 2
/ 21
N
k N kk
L d d
1 01, 1 T TL s s h h g g
=> ISI causes error floor
/ 2T T0
0 1;s s
1; 1
1; 1
1; 1
1; 1
h
g
PPM frame 1
1x
2x
3x
4x
16 Communication Technology LaboratoryWireless Communication Group
MLSE : Maximum Likelihood Sequence Estimator
• uses two decision variables per PPM frame
– energy detector: L=L2-L1
• simple two-state trellis:
• very limited instantaneous CSI required:
• simplified branch metrics– the noise is modelled as
normally distributed with nonzero mean
• potentially removes error floor of ED with ISI
• note: operates with bit clock (as opposed to sample rate)
/ 22 2
1 21 / 2 1
and N N
k kk k N
L d L d
0 1s
0 1s
1 2; ;T TL L h h g g
2
2; Th g g g
0; Th h
;T Th h g g
T
T
T
h h
g g
h g
17 Communication Technology LaboratoryWireless Communication Group
Performance Results: Weak ISI
• based on physical system (continuous time)
– PPM frame duration T=20ns
– 10dB-bandwidth B10=3GHz
• uniform power delay profile– max. delay: 14ns
• energy of each channel realization normalized to 1
• ISI aware metrics substantially improve performance
• MLAPDP,ISI essentially blanks ISI segment of PPM frame
• MLSE close to MLAPDP,ISI even though max. delay is not known
– no error floor
18 Communication Technology LaboratoryWireless Communication Group
Performance Results: Strong ISI
• based on physical system (continuous time)
– PPM frame duration T=20ns
– 10dB-bandwidth B10=3GHz
• uniform power delay profile– max. delay: 17ns
• energy of each channel realization normalized to 1
• ED not applicable due to 10% error floor
– MLSE removes error floor
• MLIPDP,ISI almost as robust to ISI as MLfull,ISI
– ISI aware metric very efficient
• MLSE and MLAPDP,ISI again have similar performance
19 Communication Technology LaboratoryWireless Communication Group
Summary and Conclusions
• we derived the intersymbol interference aware ML-symbol decision metrics for partial CSI– full CSI (MLfull MLfull,ISI)
– instantaneous power delay profile (MLIPDP MLIPDP,ISI)
– average power delay profile (MLAPDP MLAPDP,ISI)
• MLAPDP,ISI removes the ISI induced error floor of the ED
• MLfull and MLIPDP are suprisingly robust to ISI
• MLSE performs similar to MLAPDP,ISI
• overall the MLSE seem the most attractive compromise between complexity and performance in our application