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Abstract:
According to the FCC, spectrum allocation will be one of the problems of future
telecommunication systems. Indeed, the available parts of the spectrum have
been assigned statically to some applications such as mobile networks and
broadcasting systems; hence finding a proper operating band for new systems is
difficult. These telecommunication systems are called primary users. However,
primary users do not always use their entire bandwidth, and therefore a lot of
spectrum holes can be detected. These spectrum holes can be utilized for
undefined systems called secondary users. Federal communication commission
(FCC) introduced cognitive radio which detects these holes and assigns
them to secondary users.
There are several techniques for detention of signals such as energy based
detection, matched filter detection and cyclostationary based detection.
Cyclostationary based detection as one of the most sensitive methods, can be
used for detection and classification of different systems. However,
traditional multi-cycle and single-cycle detectors suffer from high complexity.
Fortunately, using some prior knowledge about the signal, this shortcoming can
be solved.
In this thesis, signals of DVB-T2 as a broadcasting system and 3GPP LTE and
IEEE 802.16 (WiMAX) as mobile networks have been evaluated and two
cyclostationary based algorithms for detection and classification of these
signals in SISO and MIMO antenna configurations are proposed.
