Closely spaced multipath channel estimation in cdma networks using divided difference filter

Zahid Ali; Mohamed A. Deriche; M. Adnan Landolsi

doi:10.1007/978-3-642-10242-4_5

Closely spaced multipath channel estimation in cdma networks using divided difference filter

Zahid Ali^*
, Mohamed A. Deriche
, M. Adnan Landolsi

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We investigate time delay and channel gain estimation for multipath fading Code Division Multiple Access (CDMA) signals using the second order Divided Difference Filter (DDF). We consider the case of paths that are a fraction of chip apart, also knwon as closely spaced paths. Given the nonlinear dependency of the channel parameters on the received signals in multiuser/multipath scenarios, we show that the DDF achieves better performance than its linear counterparts. The DDF, which is a derivative-free Kalman filtering approach, avoids the errors associated with linearization in the conventional Extended Kalman Filter (EKF). The Numerical results also show that the proposed DDF is simpler to implement, and more resilient to near-far interference in CDMA networks and is able to track closly spaced paths.

Original language	English
Title of host publication	Advances in Software Engineering
Subtitle of host publication	International Conference, ASEA 2008, and Its Special Sessions, Sanya, Hainan Island, China, December 13-15, 2008. Revised Selected Papers
Editors	Tai-hoon Kim, Wai Chi Fang, Changhoon Lee, Kirk P. Arnett
Pages	55-65
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-642-10242-4_5
State	Published - 2009

Publication series

Name	Communications in Computer and Information Science
Volume	30
ISSN (Print)	1865-0929

Keywords

CDMA Channel Estimation
Closely spaced multipaths
Kalman filters
Multiple Access Interference
Non-linear filtering

ASJC Scopus subject areas

General Computer Science
General Mathematics

Access to Document

10.1007/978-3-642-10242-4_5

Cite this

Ali, Z., Deriche, M. A., & Landolsi, M. A. (2009). Closely spaced multipath channel estimation in cdma networks using divided difference filter. In T. Kim, W. C. Fang, C. Lee, & K. P. Arnett (Eds.), Advances in Software Engineering: International Conference, ASEA 2008, and Its Special Sessions, Sanya, Hainan Island, China, December 13-15, 2008. Revised Selected Papers (pp. 55-65). (Communications in Computer and Information Science; Vol. 30). https://doi.org/10.1007/978-3-642-10242-4_5

Ali, Zahid ; Deriche, Mohamed A. ; Landolsi, M. Adnan. / Closely spaced multipath channel estimation in cdma networks using divided difference filter. Advances in Software Engineering: International Conference, ASEA 2008, and Its Special Sessions, Sanya, Hainan Island, China, December 13-15, 2008. Revised Selected Papers. editor / Tai-hoon Kim ; Wai Chi Fang ; Changhoon Lee ; Kirk P. Arnett. 2009. pp. 55-65 (Communications in Computer and Information Science).

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title = "Closely spaced multipath channel estimation in cdma networks using divided difference filter",

abstract = "We investigate time delay and channel gain estimation for multipath fading Code Division Multiple Access (CDMA) signals using the second order Divided Difference Filter (DDF). We consider the case of paths that are a fraction of chip apart, also knwon as closely spaced paths. Given the nonlinear dependency of the channel parameters on the received signals in multiuser/multipath scenarios, we show that the DDF achieves better performance than its linear counterparts. The DDF, which is a derivative-free Kalman filtering approach, avoids the errors associated with linearization in the conventional Extended Kalman Filter (EKF). The Numerical results also show that the proposed DDF is simpler to implement, and more resilient to near-far interference in CDMA networks and is able to track closly spaced paths.",

keywords = "CDMA Channel Estimation, Closely spaced multipaths, Kalman filters, Multiple Access Interference, Non-linear filtering",

author = "Zahid Ali and Deriche, \{Mohamed A.\} and Landolsi, \{M. Adnan\}",

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doi = "10.1007/978-3-642-10242-4\_5",

language = "English",

isbn = "9783642102417",

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editor = "Tai-hoon Kim and Fang, \{Wai Chi\} and Changhoon Lee and Arnett, \{Kirk P.\}",

booktitle = "Advances in Software Engineering",

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Ali, Z, Deriche, MA & Landolsi, MA 2009, Closely spaced multipath channel estimation in cdma networks using divided difference filter. in T Kim, WC Fang, C Lee & KP Arnett (eds), Advances in Software Engineering: International Conference, ASEA 2008, and Its Special Sessions, Sanya, Hainan Island, China, December 13-15, 2008. Revised Selected Papers. Communications in Computer and Information Science, vol. 30, pp. 55-65. https://doi.org/10.1007/978-3-642-10242-4_5

Closely spaced multipath channel estimation in cdma networks using divided difference filter. / Ali, Zahid; Deriche, Mohamed A.; Landolsi, M. Adnan.
Advances in Software Engineering: International Conference, ASEA 2008, and Its Special Sessions, Sanya, Hainan Island, China, December 13-15, 2008. Revised Selected Papers. ed. / Tai-hoon Kim; Wai Chi Fang; Changhoon Lee; Kirk P. Arnett. 2009. p. 55-65 (Communications in Computer and Information Science; Vol. 30).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Closely spaced multipath channel estimation in cdma networks using divided difference filter

AU - Ali, Zahid

AU - Deriche, Mohamed A.

AU - Landolsi, M. Adnan

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N2 - We investigate time delay and channel gain estimation for multipath fading Code Division Multiple Access (CDMA) signals using the second order Divided Difference Filter (DDF). We consider the case of paths that are a fraction of chip apart, also knwon as closely spaced paths. Given the nonlinear dependency of the channel parameters on the received signals in multiuser/multipath scenarios, we show that the DDF achieves better performance than its linear counterparts. The DDF, which is a derivative-free Kalman filtering approach, avoids the errors associated with linearization in the conventional Extended Kalman Filter (EKF). The Numerical results also show that the proposed DDF is simpler to implement, and more resilient to near-far interference in CDMA networks and is able to track closly spaced paths.

AB - We investigate time delay and channel gain estimation for multipath fading Code Division Multiple Access (CDMA) signals using the second order Divided Difference Filter (DDF). We consider the case of paths that are a fraction of chip apart, also knwon as closely spaced paths. Given the nonlinear dependency of the channel parameters on the received signals in multiuser/multipath scenarios, we show that the DDF achieves better performance than its linear counterparts. The DDF, which is a derivative-free Kalman filtering approach, avoids the errors associated with linearization in the conventional Extended Kalman Filter (EKF). The Numerical results also show that the proposed DDF is simpler to implement, and more resilient to near-far interference in CDMA networks and is able to track closly spaced paths.

KW - CDMA Channel Estimation

KW - Closely spaced multipaths

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KW - Multiple Access Interference

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Ali Z, Deriche MA, Landolsi MA. Closely spaced multipath channel estimation in cdma networks using divided difference filter. In Kim T, Fang WC, Lee C, Arnett KP, editors, Advances in Software Engineering: International Conference, ASEA 2008, and Its Special Sessions, Sanya, Hainan Island, China, December 13-15, 2008. Revised Selected Papers. 2009. p. 55-65. (Communications in Computer and Information Science). doi: 10.1007/978-3-642-10242-4_5

Closely spaced multipath channel estimation in cdma networks using divided difference filter

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