Back to results

NJIT

Advanced classification of OFDM and MIMO signals with enhanced second order cyclostationarity detection

Abstract

dc:description.abstract

With the emergence of cognitive radio and the introduction of new modulation techniques such as OFDM and MIMO, the problem of Modulation Classification (MC) becomes more challenging and complicated. In the first part of the thesis, we explore the automatic modulation classification to blindly distinguish OFDM from single carrier signals. We use the fourth order cumulants; an approach which in the past has been also applied to classify single carrier signals. A blind OFDM parameter estimation scheme was then followed, which includes the estimation of number of subcarriers, CP length, timing and frequency offset and the oversampling factor for the OFDM signal. For the second part of the thesis, we improve the statistical signal processing techniques that were used in the first part. Particularly, the second order cyclostationarity based methods have been examined and improved. Based on the fact that most of the cyclostationary communication signals has a real cyclostationary part and a complex non-cyclostaionary part, we suggest an approach that enhance the second order cyclostationarity and hence increase its probability of detection. Using such improved second-order cyclostationarity, we present an improved synchronization method based on second order cyclostationarity. With the proposed approach, it is shown that the timing estimator, is independent of the frequency offset estimator, and therefore performs better than the previously proposed class of blind synchronization methods. To negate the dependence of the blind synchronization scheme on the prior knowledge of the raised cosine pulse shaping filters, we proposed a blind roll-off factor estimator based on the second order cyclostationarity. Last, we address the MIMO classification problem, wherein we estimate the number of transmitting antennas. Here the second order cyclostationarity test has been applied in distinguishing STC from BLAST modulation.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy in Electrical Engineering - (Ph.D.)
Discipline thesis:degree_discipline
Electrical and Computer Engineering
Year
2010

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Shi, Miao
Contributors dc:contributor
  • Yeheskel Bar-Ness
  • Alexander Haimovich
  • Ali Abdi

Subjects

dc:subject × 5

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.njit.edu/dissertations/202
OAI identifier oai:identifier
oai:digitalcommons.njit.edu:dissertations-1257

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

Shi, Miao. Advanced classification of OFDM and MIMO signals with enhanced second order cyclostationarity detection. 2010. https://digitalcommons.njit.edu/dissertations/202