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Cyclic prefix assisted block transmission for low complexity communication system design

Abstract

dc:description.abstract

This thesis presents new results on cyclic prefix (CP) assisted block transmission for low complexity communication system design. Two important aspects are studied: the CP based low-complexity schemes for channel equalization and channel estimation. Specifically, based on the simple frequency domain equalization, a low complexity joint receiver is proposed for CP-CDMA system, which is a special application of block transmission. And in this work the finite impulse response (FIR) model is used for the unknown communication channels. To identify an unknown FIR channel, a novel channel estimation method is proposed by exploiting the cyclic prefix technique. Compared to a conventional method, the proposed method delivers the similar estimation accuracy, yet at much lower system overhead and lower computational complexity. In order to minimize the channel total mean square error in channel estimation, the criteria and solutions to optimal training sequence design are also presented. Finally, the performance study is carried out on the proposed channel estimation scheme for BPSK block transmission system as well as CP-CDMA system using simulation along with analysis.

Degree

thesis:*
Name thesis:degree_name
Master of Science in Electrical Engineering - (M.S.)
Discipline thesis:degree_discipline
Electrical and Computer Engineering
Year
2005

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Huang, Haibin
Contributors dc:contributor
  • Hongya Ge
  • Ali Abdi
  • Roy R. You

Subjects

dc:subject × 3

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.njit.edu/theses/461
OAI identifier oai:identifier
oai:digitalcommons.njit.edu:theses-1460

Chain of custody

source
Harvested from
NJIT
Base URL
digitalcommons.njit.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Huang, Haibin. Cyclic prefix assisted block transmission for low complexity communication system design. 2005. https://digitalcommons.njit.edu/theses/461