The University of Southampton
University of Southampton Institutional Repository

Wideband adaptive full response multilevel transceivers and equalizers

Wideband adaptive full response multilevel transceivers and equalizers
Wideband adaptive full response multilevel transceivers and equalizers

In this thesis, the Minimum Mean Square Error (MMSE) Decision Feedback Equalizer (DFE) was studied in the context of a wideband Adaptive Quadrature Amplitude Modulation (AQAM) in order to mitigate the impact of multi-path Rayleigh fading channels. Explicitly, the modulation modes of no transmission (NOTX), Binary Phase Shift Keying (BPSK), 4QAM, 16QAM and 64QAM were invoked by the transmitter at a constant symbol-rate depending on the prevalent channel quality. The channel quality was quantified in terms of the output SNR of the DFE, which facilitated the joint performance optimisation of the DFE and the wideband AQAM switching regime.

A wideband AQAM numerical model was introduced and optimised over a noise limited COST 207 Typical Urban (TU) channel for target BERs of 1% and 0.01%. Consequently, a throughout average channel SNR gains for approximately 1 - 3dB and 7-9dB were achieved by the wideband AQAM system for target BERs of 1% and 0.01% respectively, when compared to the individual fixed modulation modes of BPSK, 4QAM, 16QAM and 64QAM. Subsequently, a practical Time Division Duplex (TDD) wideband AQAM system was implemented which had a channel quality latency of 2.3075ms over a slowly varying channel. This resulted in a throughput SNR gain reduction of approximately 0.9dB and 1.8dB for the target BERs of 1% and 0.01% respectively, when compared to the upper bound SNR performance gain. Multi-rate turbo block and convolutional coding were then incorporated into the wideband AQAM scheme which produced throughput channel SNR gains of approximately 1.0dB and 5.0dB for target BERs of 1% and 0.1%, respectively, in comparison to the individual fixed modulation modes. Furthermore, burst-by-burst channel decoding associated with limited depth turbo interleaver was employed at the receiver, which was exploited in order to detect the modulation modes utilized on a burst-by-burst basis.

The wideband AQAM system was also investigated in a Co-Channel Interference (CCI) limited environment, where the Joint Detection MMSE Block DFE having an embedded convolutional decoder was invoked for CCI compensation. Furthermore, the AQAM switching mechanism was refined in order to cater for a noise and CCI limited environment. In both of these CCI compensation schemes considerable gains were achieved, when compared to the time-invariant modulation schemes over a slowly fading COST 207 TU channel.

University of Southampton
Wong, Choong Hin
Wong, Choong Hin

Wong, Choong Hin (1999) Wideband adaptive full response multilevel transceivers and equalizers. University of Southampton, Doctoral Thesis.

Record type: Thesis (Doctoral)

Abstract

In this thesis, the Minimum Mean Square Error (MMSE) Decision Feedback Equalizer (DFE) was studied in the context of a wideband Adaptive Quadrature Amplitude Modulation (AQAM) in order to mitigate the impact of multi-path Rayleigh fading channels. Explicitly, the modulation modes of no transmission (NOTX), Binary Phase Shift Keying (BPSK), 4QAM, 16QAM and 64QAM were invoked by the transmitter at a constant symbol-rate depending on the prevalent channel quality. The channel quality was quantified in terms of the output SNR of the DFE, which facilitated the joint performance optimisation of the DFE and the wideband AQAM switching regime.

A wideband AQAM numerical model was introduced and optimised over a noise limited COST 207 Typical Urban (TU) channel for target BERs of 1% and 0.01%. Consequently, a throughout average channel SNR gains for approximately 1 - 3dB and 7-9dB were achieved by the wideband AQAM system for target BERs of 1% and 0.01% respectively, when compared to the individual fixed modulation modes of BPSK, 4QAM, 16QAM and 64QAM. Subsequently, a practical Time Division Duplex (TDD) wideband AQAM system was implemented which had a channel quality latency of 2.3075ms over a slowly varying channel. This resulted in a throughput SNR gain reduction of approximately 0.9dB and 1.8dB for the target BERs of 1% and 0.01% respectively, when compared to the upper bound SNR performance gain. Multi-rate turbo block and convolutional coding were then incorporated into the wideband AQAM scheme which produced throughput channel SNR gains of approximately 1.0dB and 5.0dB for target BERs of 1% and 0.1%, respectively, in comparison to the individual fixed modulation modes. Furthermore, burst-by-burst channel decoding associated with limited depth turbo interleaver was employed at the receiver, which was exploited in order to detect the modulation modes utilized on a burst-by-burst basis.

The wideband AQAM system was also investigated in a Co-Channel Interference (CCI) limited environment, where the Joint Detection MMSE Block DFE having an embedded convolutional decoder was invoked for CCI compensation. Furthermore, the AQAM switching mechanism was refined in order to cater for a noise and CCI limited environment. In both of these CCI compensation schemes considerable gains were achieved, when compared to the time-invariant modulation schemes over a slowly fading COST 207 TU channel.

This record has no associated files available for download.

More information

Published date: 1999

Identifiers

Local EPrints ID: 464038
URI: http://eprints.soton.ac.uk/id/eprint/464038
PURE UUID: 3f04aab1-3235-419c-b95d-12bd93e38395

Catalogue record

Date deposited: 04 Jul 2022 21:01
Last modified: 04 Jul 2022 21:01

Export record

Contributors

Author: Choong Hin Wong

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×