A novel algorithm to detect a QPSK signal with the minimum number of samples
In digital communication the QPSK (quadrature phase-shift keying) signal occupies a special position, from satellite systems through to Local Area Networks (LAN). The QPSK signal can be detected or received using analog or digital receivers. The detection capability of digital receivers relies ma...
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| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Springer
2015
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/40163/4/A_Novel_Algorithm_to_Detect_a_QPSK_Signal.pdf http://irep.iium.edu.my/40163/7/40163_A_novel_algorithm_to_detect_a_QPSK_signal_SCOPUS.pdf http://irep.iium.edu.my/40163/ http://link.springer.com/chapter/10.1007%2F978-3-319-13153-5_2 |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English English |
| Summary: | In digital communication the QPSK (quadrature phase-shift keying)
signal occupies a special position, from satellite systems through to Local Area
Networks (LAN). The QPSK signal can be detected or received using analog or
digital receivers. The detection capability of digital receivers relies mainly on
the number of samples per signal element and signal-to-noise ratio. The number
of samples required by a digital receiver is the bottleneck for detection speed.
This paper presents a novel algorithm to detect a QPSK signal with the minimum
number of samples, or as few as four samples per symbol. The algorithm
relies only on the samples’ polarities, which leads to superior immunity to amplitude
noise. The algorithm was simulated and tested using ANSI C++. The
results showed that the algorithm is capable of detecting a QPSK signal with
minimum Bit Error Rate (BER) at signal-to-noise ratio of 7.57 dB and maximum
phase distortion of PI/8. |
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