Investigation of blind detection of modulation schemes using cyclostationarity in underwater communication channels
Blind detection of modulation, i.e., without any prior knowledge of the signal, the carrier frequency, timing, etc., is a challenging task for receivers. With growing advancement in communications, more emphasis is placed on computationally efficient ways to detect modulation schemes. This forms...
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| Format: | Theses and Dissertations |
| Language: | English |
| Published: |
2016
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| Online Access: | http://hdl.handle.net/10356/65883 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Blind detection of modulation, i.e., without any prior knowledge of the signal, the
carrier frequency, timing, etc., is a challenging task for receivers. With growing advancement
in communications, more emphasis is placed on computationally efficient
ways to detect modulation schemes. This forms the basis for automatic modulation
recognition that is being used in cognitive radios. This dissertation looks into Cyclostationary
techniques for modulation detection, which is still constantly advancing.
Spectral Correlation Density Function (SCF) which computes the correlation between
spectrally shifted versions of a signal, is used in the detection of some of the
digital modulations such as Binary Phase Shift Keying (BPSK), Quartenary Phase
Shift Keying (QPSK), Differentially encoded BPSK and Binary Continuous Phase Frequency
Shift Keying (Binary-CPFSK). This dissertations investigates the use of SCF
in the detection of these modulations in Additive White Gaussian Noise (AWGN) and
Underwater channel. It is found that the SCF features can be used reasonably well to
classify most of these modulations in a noisy environment such as the model considered
for the underwater channel. |
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