Single-carrier time-domain space-time equalization algorithms for the SDMA uplink
Single-carrier time-domain space-time equalization algorithms for the SDMA uplink
In this treatise I explore different detection algorithms for the employment in multiple-antenna aided wireless mobile communication systems. More explicitly, I explore the issue of detecting spatially-multiplexed information-carrying signals.
Specifically, in Chapter 2 I discuss several detection schemes, namely the linear Minimum Mean Squared Error (MMSE), the linear Minimum Bit Error Rate (MBER), the Bayesian as well as a novel Optimized Hierarchical Recursive Search Algorithm (OHRSA)-based detector, when operating in a narrowband communication environment. Furthermore, both the computational complexity and the achievable turbo-coded Bit Error Rate (BER) performance are characterized.
In Chapter 3 I extend the narrowband detection strategies discussed in Chapter 2 to Space-Time Equalization (STE) algorithms, which also may benefit from Decision Feedback (DF). In addition to DF a further complexity reduction scheme is proposed for the OHRSA-aided STE, which exploits the specific characteristics of both the wideband channel and the proposed DF-STE. In comparison to the full Maximum Likelihood (ML) STE, the proposed detector is capable of achieving a complexity reduction, which is several orders of magnitude.
In Chapter 4 I extend the detectors of Chapter 2 to Soft-Input Soft-Output (SISO) detection algorithms and employ them in multiple-stage concatenated iterative systems. In order to analyze the behaviour of these multi-stage systems I introduce a new 3-Dimensional (3D) Extrinsic Information Transfer (EXIT) chart analysis. The proposed iterative Bayesian detector as well as the novel Reduced-complexity Max-Log (RML) detector approach the channel capacity limit within the range of 1 dB.
University of Southampton
Wolfgang, Andreas
029e48ea-f4a9-4334-8e9f-1d4b9fe1b0e3
2007
Wolfgang, Andreas
029e48ea-f4a9-4334-8e9f-1d4b9fe1b0e3
Wolfgang, Andreas
(2007)
Single-carrier time-domain space-time equalization algorithms for the SDMA uplink.
University of Southampton, Doctoral Thesis.
Record type:
Thesis
(Doctoral)
Abstract
In this treatise I explore different detection algorithms for the employment in multiple-antenna aided wireless mobile communication systems. More explicitly, I explore the issue of detecting spatially-multiplexed information-carrying signals.
Specifically, in Chapter 2 I discuss several detection schemes, namely the linear Minimum Mean Squared Error (MMSE), the linear Minimum Bit Error Rate (MBER), the Bayesian as well as a novel Optimized Hierarchical Recursive Search Algorithm (OHRSA)-based detector, when operating in a narrowband communication environment. Furthermore, both the computational complexity and the achievable turbo-coded Bit Error Rate (BER) performance are characterized.
In Chapter 3 I extend the narrowband detection strategies discussed in Chapter 2 to Space-Time Equalization (STE) algorithms, which also may benefit from Decision Feedback (DF). In addition to DF a further complexity reduction scheme is proposed for the OHRSA-aided STE, which exploits the specific characteristics of both the wideband channel and the proposed DF-STE. In comparison to the full Maximum Likelihood (ML) STE, the proposed detector is capable of achieving a complexity reduction, which is several orders of magnitude.
In Chapter 4 I extend the detectors of Chapter 2 to Soft-Input Soft-Output (SISO) detection algorithms and employ them in multiple-stage concatenated iterative systems. In order to analyze the behaviour of these multi-stage systems I introduce a new 3-Dimensional (3D) Extrinsic Information Transfer (EXIT) chart analysis. The proposed iterative Bayesian detector as well as the novel Reduced-complexity Max-Log (RML) detector approach the channel capacity limit within the range of 1 dB.
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Published date: 2007
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Local EPrints ID: 466172
URI: http://eprints.soton.ac.uk/id/eprint/466172
PURE UUID: 4d75e894-9770-439b-b179-2fd1d218bd01
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Date deposited: 05 Jul 2022 04:37
Last modified: 16 Mar 2024 20:33
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Author:
Andreas Wolfgang
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