Uplink Channel Estimation for Bandlimited MC-DS-CDMA Systems Relying on Long Spreading Codes
Uplink Channel Estimation for Bandlimited MC-DS-CDMA Systems Relying on Long Spreading Codes
This paper considers pilot-based parameter estimation for bandlimited MC-DS-CDMA systems relying on long spreading codes. Three different schemes are proposed and compared. The two so-called unstructured algorithms, namely the Least Squares Estimator (LS-E) and the Least Absolute Shrinkage and Selection Operator Estimator (LASSOE) first estimate the composite channel impulse response, and then extract the propagation delay, amplitude and phase. By contrast, the third algorithm namely the Structured LS Search Estimator (SLSS-E) exploits the a priori knowledge of the chip waveform and directly estimates the channel parameters. Parallel interference cancelation (PIC) is incorporated in the SLSS-E for the sake of mitigating the effect of multiple access interference and hence to further improve the performance. The complexity of PIC assisted SLSS-E and LS-E only increases linearly with the number of users K, with the number of subcarriers U and with the length of the pilot sequence Nt. Simulation results indicate that the PIC assisted structured estimator outperforms its unstructured counterparts.
Wang, Shuai
f2fa510e-d1de-415f-84e4-0f143946243a
Lu, Jing-yi
d9cd5300-ff8f-4a97-90f5-79890c7d90d1
An, Jianping
a1f62ccd-2574-4fa5-be1c-22a2b35c6cf4
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
September 2011
Wang, Shuai
f2fa510e-d1de-415f-84e4-0f143946243a
Lu, Jing-yi
d9cd5300-ff8f-4a97-90f5-79890c7d90d1
An, Jianping
a1f62ccd-2574-4fa5-be1c-22a2b35c6cf4
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Wang, Shuai, Lu, Jing-yi, An, Jianping and Hanzo, Lajos
(2011)
Uplink Channel Estimation for Bandlimited MC-DS-CDMA Systems Relying on Long Spreading Codes.
VTC2011-Fall, San Francisco, United States.
05 - 08 Sep 2011.
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper considers pilot-based parameter estimation for bandlimited MC-DS-CDMA systems relying on long spreading codes. Three different schemes are proposed and compared. The two so-called unstructured algorithms, namely the Least Squares Estimator (LS-E) and the Least Absolute Shrinkage and Selection Operator Estimator (LASSOE) first estimate the composite channel impulse response, and then extract the propagation delay, amplitude and phase. By contrast, the third algorithm namely the Structured LS Search Estimator (SLSS-E) exploits the a priori knowledge of the chip waveform and directly estimates the channel parameters. Parallel interference cancelation (PIC) is incorporated in the SLSS-E for the sake of mitigating the effect of multiple access interference and hence to further improve the performance. The complexity of PIC assisted SLSS-E and LS-E only increases linearly with the number of users K, with the number of subcarriers U and with the length of the pilot sequence Nt. Simulation results indicate that the PIC assisted structured estimator outperforms its unstructured counterparts.
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Published date: September 2011
Additional Information:
Event Dates: 5-8 September 2011
Venue - Dates:
VTC2011-Fall, San Francisco, United States, 2011-09-05 - 2011-09-08
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 272513
URI: http://eprints.soton.ac.uk/id/eprint/272513
PURE UUID: f217ee93-9816-42cd-bf53-b0c75d8dc5a8
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Date deposited: 23 Jun 2011 21:24
Last modified: 18 Mar 2024 02:35
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Contributors
Author:
Shuai Wang
Author:
Jing-yi Lu
Author:
Jianping An
Author:
Lajos Hanzo
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