poster kobe

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Karim OUERTANI, Samir SAOUDI, Mahmoud AMMAR institut Telecom / Telecom Bretagne, Signal & Communications Department Technopˆole de Brest-Iroise, CS 83818 - 29238 Brest Cedex, FRANCE E-mail: [email protected] Summary— In this work a novel channel estimation scheme is proposed for a RAKE receiver operating in a time varying multi-path channel. The approach is an extension of the well known nonlinear interpolation channel estimator, which is based on inter- polating the channel estimates from pilot symbol sequence. The proposed technique manages to combine the obtained samples over one chip duration using a Lagrange interpolation filter, and thereby enhances the signal-to-noise ratio and improves the quality of channel estimates. We also investigate optimal power assignment for the pi- lot and data channels. Simulation results allowed us to pinpoint optimum pilot-to-data channel power ratio for the best bit error performance. Coherent RAKE block diagram with correlation based channel estimation. Conventional correlation based channel estimation with a RAKE receiver. The CDMA signal is spread to the chip rate with an SF-long Walsh code. The spread signal is oversampled by an oversampling factor N s = 4. The signal is transmitted through a multipath Rayleigh fading channel, with a channel response : G k (i)= L l =1 g k,l (i)δ (iT - τ k,l ) (1) 1. Correlation based channel estimation The N s = 4 samples corresponding to one chip are input to a 3 rd order Lagrange interpolation filter [1],[2] to get an interpolated chip value estimates. Despreading process is performed with the interpolated chip estimates. The Lagrange interpolation filters are widely used in numerous applications : sampling rate conversion, digital communications, FIR filters design, etc. Desired chip value interpolation by a 3 rd order Lagrange filter. The filter coefficients are obtained as follows, h d (p)= N k =0 d - k p - k for p =0, 1, 2, ..., N s (2) N is the filter order, N = 3. d is the delay to be fractionally approximated, D = T c 4 . Structure of the interpolation scheme from the oversampled received signal frame : chip 0 chip SF-1 chip n Pilot r(n) r(n+1) r(n+2) r(n+3) h(3) h(2) h(0) h(1) r(n+d) A 3 rd order Lagrange interpolation filter. 2. Channel estimation with Lagrange prefiltering -30 -25 -20 -15 -10 -5 0 10 -5 10 -4 10 -3 10 -2 10 -1 10 0 SNR(dB) BER RAKE CE RAKE+Lagrange CE RAKE PKC RAKE+Lagrange PKC Effect of imperfect channel estimation - K = 3 users. In the figure : PKCrefers to the Perfectly Known Channel simulation case. CErefers to the Channel Estimation simulation case. -30 -25 -20 -15 -10 -5 0 10 -4 10 -3 10 -2 10 -1 10 0 SNR(dB) BER RAKE K=5 RAKE K=3 RAKE+Lagrange K=5 RAKE+Lagrange K=3 RAKE+Lagrange K=1 BER Vs SNR for conventional channel estimation (’RAKE’) and proposed channel estimation (’RAKE+Lagrange’) - K=1, 3 and 5 users. 5. Simulation Results 0 10 20 30 40 50 60 70 80 90 10 -3 10 -2 10 -1 10 0 % of Power Applied to Pilot Symbol BER SNR = -16dB SNR = -12dB BER vs percentage of power applied to pilot channel. -30 -28 -26 -24 -22 -20 -18 -16 -14 -12 -10 10 -4 10 -3 10 -2 10 -1 10 0 SNR(dB) BER 50% of Power Applied to Pilot Symbol 60% of Power Applied to Pilot Symbol BER performance with optimum pilot power allocation. The amount of power applied to the pilot signal was varried from 1 % to 90 %. The optimum power allocation between the pilot channel and the data channel was investigated under the assumption of constant total transmit power. The lowest bit error rate is obtained for 60 % of the signal power applied to the pilot channel. 6. Power Allocation [1]T. I. Laakso, V. Valimaki, M. Karjalainen, and U. K. Laine. Splitting the Unit Delay, in IEEE Signal Processing Magazine, pages: 30-60, January 1996. [2] E. Simona Lohan, M. Renfors Performance Analysis of the RAKE Receiver in the Presence of Multipath Delay Estimation Errors and Rician Fading Chan- nels, in European transactions on telecommunications, vol. 14, pages: 435-447, July 2003. [3]M. Meyr, M. Moeneclaey, and S. A. Fechtel. Digital Communication Receivers : synchronization, channel estimation, and signal processing, Wiley series in telecommunications and signal processing, Jhon Wiley & sons, 1998. 7. References

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Page 1: Poster kobe

Karim OUERTANI, Samir SAOUDI, Mahmoud AMMARinstitut Telecom / Telecom Bretagne, Signal & Communications

DepartmentTechnopole de Brest-Iroise, CS 83818 - 29238 Brest Cedex, FRANCE

E-mail: [email protected]

Summary— In this work a novel channel estimation scheme is proposed for a RAKEreceiver operating in a time varying multi-path channel. The approach is an extensionof the well known nonlinear interpolation channel estimator, which is based on inter-polating the channel estimates from pilot symbol sequence. The proposed techniquemanages to combine the obtained samples over one chip duration using a Lagrangeinterpolation filter, and thereby enhances the signal-to-noise ratio and improves thequality of channel estimates. We also investigate optimal power assignment for the pi-lot and data channels. Simulation results allowed us to pinpoint optimum pilot-to-datachannel power ratio for the best bit error performance.

Coherent RAKE block diagram with correlation based channel estimation.

•Conventional correlation based channel estimation with a RAKE receiver.

•The CDMA signal is spread to the chip rate with an SF-long Walsh code.

•The spread signal is oversampled by an oversampling factor Ns = 4.

•The signal is transmitted through a multipath Rayleigh fading channel, with a channelresponse :

Gk(i) =L∑

l=1

gk,l(i)δ(iT − τk,l) (1)

1. Correlation based channel estimation

•The Ns = 4 samples corresponding to one chip are input to a 3rd order Lagrangeinterpolation filter [1],[2] to get an interpolated chip value estimates.

•Despreading process is performed with the interpolated chip estimates.

•The Lagrange interpolation filters are widely used in numerous applications : samplingrate conversion, digital communications, FIR filters design, etc.

Desired chip value interpolation by a 3rd order Lagrange filter.

•The filter coefficients are obtained as follows,

hd(p) =N∏

k=0

d − k

p − kfor p = 0, 1, 2, ..., Ns (2)

•N is the filter order, N = 3.

•d is the delay to be fractionallyapproximated, D = Tc

4 .

•Structure of the interpolation scheme from the oversampled received signal frame :

chip 0 chip SF−1chip n

Pilot

r(n) r(n+1) r(n+2) r(n+3)

h(3)h(2)h(0) h(1)

r(n+d)

A 3rd order Lagrange interpolation filter.

2. Channel estimation with Lagrange prefiltering

−30 −25 −20 −15 −10 −5 010

−5

10−4

10−3

10−2

10−1

100

SNR(dB)

BE

R

RAKE CERAKE+Lagrange CERAKE PKCRAKE+Lagrange PKC

Effect of imperfect channel estimation - K = 3 users.

In the figure :

• ”PKC” refers to the Perfectly Known Channel simulation case.

• ”CE” refers to the Channel Estimation simulation case.

−30 −25 −20 −15 −10 −5 010

−4

10−3

10−2

10−1

100

SNR(dB)

BE

R

RAKE K=5RAKE K=3RAKE+Lagrange K=5RAKE+Lagrange K=3RAKE+Lagrange K=1

BER Vs SNR for conventional channel estimation (’RAKE’) and proposedchannel estimation (’RAKE+Lagrange’) - K=1, 3 and 5 users.

5. Simulation Results

0 10 20 30 40 50 60 70 80 90

10−3

10−2

10−1

100

% of Power Applied to Pilot Symbol

BE

R

SNR = −16dBSNR = −12dB

BER vs percentage of power applied topilot channel.

−30 −28 −26 −24 −22 −20 −18 −16 −14 −12 −1010

−4

10−3

10−2

10−1

100

SNR(dB)

BE

R

50% of Power Applied to Pilot Symbol 60% of Power Applied to Pilot Symbol

BER performance with optimumpilot power allocation.

•The amount of power applied to the pilot signal was varried from 1 % to 90 %.

•The optimum power allocation between the pilot channel and the data channel wasinvestigated under the assumption of constant total transmit power.

•The lowest bit error rate is obtained for 60 % of the signal power applied to the pilotchannel.

6. Power Allocation

[1] T. I. Laakso, V. Valimaki, M. Karjalainen, and U. K. Laine. Splitting the UnitDelay, in IEEE Signal Processing Magazine, pages: 30-60, January 1996.

[2] E. Simona Lohan, M. Renfors Performance Analysis of the RAKE Receiver inthe Presence of Multipath Delay Estimation Errors and Rician Fading Chan-nels, in European transactions on telecommunications, vol. 14, pages: 435-447, July2003.

[3]M. Meyr, M. Moeneclaey, and S. A. Fechtel. Digital Communication Receivers: synchronization, channel estimation, and signal processing, Wiley series intelecommunications and signal processing, Jhon Wiley & sons, 1998.

7. References