Joint Maximum Likelihood Estimation of Channel and Preamble Sequence for WiMAX Systems

Cited 6 time in webofscience Cited 0 time in scopus
  • Hit : 11
  • Download : 0
This paper examines the detection problem of the preamble sequence index in the WiMAX system. The mobile station receiver knows all the possible preamble sequences and should estimate which preamble sequence has been transmitted from the base station. Since the preamble in the orthogonal frequency division multiplexing (OFDM) transmission is usually the first received symbol, the channel is unknown to the receiver, which makes the problem of preamble sequence estimation complicated. In this paper, this problem is addressed by developing the joint maximum likelihood (NIL) estimator of the preamble sequence and the channel. A simple decoupled estimator and a minimum mean square error (MMSE) estimator are also presented as benchmarks for the joint NIL estimator. Then it is shown how the joint NIL estimator can be used for the segment detection. Since the joint ML estimator can be computationally complex in its general form, low-complexity algorithms are developed depending on the type of pilot subcarrier locations for general OFDM systems including WiMAX. The simulation results show that the joint NIL estimator detects the preamble sequence index very well in the absence of the channel knowledge.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2008-11
Language
English
Article Type
Article; Proceedings Paper
Citation

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v.7, no.11, pp.4294 - 4303

ISSN
1536-1276
DOI
10.1109/T-WC.2008.070578
URI
http://hdl.handle.net/10203/280867
Appears in Collection
AE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 6 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0