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...

Full description

Saved in:
Bibliographic Details
Main Author: Lee, Hui Thong
Other Authors: Li Kwok Hung
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/145709
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-145709
record_format dspace
spelling sg-ntu-dr.10356-1457092023-07-07T18:18:13Z Detection of MPSK and QAM signals using signal space concept Lee, Hui Thong Li Kwok Hung School of Electrical and Electronic Engineering EKHLI@ntu.edu.sg Engineering::Electrical and electronic engineering::Satellite telecommunication 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). Bachelor of Engineering (Electrical and Electronic Engineering) 2021-01-05T08:19:34Z 2021-01-05T08:19:34Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/145709 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Satellite telecommunication
spellingShingle Engineering::Electrical and electronic engineering::Satellite telecommunication
Lee, Hui Thong
Detection of MPSK and QAM signals using signal space concept
description 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).
author2 Li Kwok Hung
author_facet Li Kwok Hung
Lee, Hui Thong
format Final Year Project
author Lee, Hui Thong
author_sort Lee, Hui Thong
title Detection of MPSK and QAM signals using signal space concept
title_short Detection of MPSK and QAM signals using signal space concept
title_full Detection of MPSK and QAM signals using signal space concept
title_fullStr Detection of MPSK and QAM signals using signal space concept
title_full_unstemmed Detection of MPSK and QAM signals using signal space concept
title_sort detection of mpsk and qam signals using signal space concept
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/145709
_version_ 1772828470620979200