Detection of MPSK and QAM signals using signal space concept
In this report, we explore and compare the performance of various digital modulation techniques in digital communication systems using the signal space concept. This is done by performing simulations utilizing the signal space concept with MATLAB and comparing these results with theoretical predicti...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/145709 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | In this report, we explore and compare the performance of various digital modulation techniques in digital communication systems using the signal space concept. This is done by performing simulations utilizing the signal space concept with MATLAB and comparing these results with theoretical predictions. We begin by examining the performance of binary phase-shift keying (BPSK) modulated signals in one-dimensional signal spaces. This is followed by examining the performance of M-ary phase-shift keying (M-PSK) and M-ary quadrature amplitude modulated (M-QAM) signals in two-dimensional signal spaces. This is done while accounting for noise from random processes occurring in nature by adopting the model of additive white Gaussian noise (AWGN), which has a statistical performance closest to the noise present in digital communication systems. With the use of a matched filter, we can plot the signal waveforms as points on a signal space and evaluate their performance results. We then explore and understand the different modulation techniques and can evaluate their performance by examining different performance indicators such as signal-to-noise ratio (SNR), bit-error rate (BER) and symbol-error rate (SER). |
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