Iterative QR decomposition-based detection algorithms with multiple feedback and dynamic tree search for LDPC-coded MIMO systems

Jingjing Liu; Peng Li; Li Li; Rodrigo C. De Lamare; Alister Burr

doi:10.1049/ic.2011.0170

Iterative QR decomposition-based detection algorithms with multiple feedback and dynamic tree search for LDPC-coded MIMO systems

Jingjing Liu^*, Peng Li, Li Li, Rodrigo C. De Lamare, Alister Burr

^*Corresponding author for this work

Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we present two innovative LDPC- coded QR decomposition-based soft-output detection techniques, both of which are able to achieve a near-ML performance with significant reduced complexity compare to other optimal detection solutions, such as MAP or list SD algorithms. The first detector (MF-QRD) employs a multi-feedback technique to select appropriate candidates when the symbols are unreliable. Another detection strategy called variable-M QRD (VM-QRD) detector is developed which dynamically adapts the number of detection candidates according to the channel variations in each detection layer. The irregular PEG LDPC code is employed as the outer channel code which provides efficient redundancy for mitigating remaining co-channel interference and additive noise. And simulation results show that the proposed algorithms have excellent performances.

Original language	English
Title of host publication	Sensor Signal Processing for Defence, SSPD 2011
Edition	4
DOIs	https://doi.org/10.1049/ic.2011.0170
Publication status	Published - 2011
Event	Sensor Signal Processing for Defence, SSPD 2011 - London, United Kingdom Duration: 27 Sept 2011 → 29 Sept 2011

Publication series

Name	IET Seminar Digest
Number	4
Volume	2011

Conference

Conference	Sensor Signal Processing for Defence, SSPD 2011
Country/Territory	United Kingdom
City	London
Period	27/09/11 → 29/09/11

Access to Document

10.1049/ic.2011.0170

Cite this

@inproceedings{6fc9533da47d4f7d8b1e73e474d63ffd,

title = "Iterative QR decomposition-based detection algorithms with multiple feedback and dynamic tree search for LDPC-coded MIMO systems",

abstract = "In this paper, we present two innovative LDPC- coded QR decomposition-based soft-output detection techniques, both of which are able to achieve a near-ML performance with significant reduced complexity compare to other optimal detection solutions, such as MAP or list SD algorithms. The first detector (MF-QRD) employs a multi-feedback technique to select appropriate candidates when the symbols are unreliable. Another detection strategy called variable-M QRD (VM-QRD) detector is developed which dynamically adapts the number of detection candidates according to the channel variations in each detection layer. The irregular PEG LDPC code is employed as the outer channel code which provides efficient redundancy for mitigating remaining co-channel interference and additive noise. And simulation results show that the proposed algorithms have excellent performances.",

author = "Jingjing Liu and Peng Li and Li Li and {De Lamare}, {Rodrigo C.} and Alister Burr",

year = "2011",

doi = "10.1049/ic.2011.0170",

language = "English",

isbn = "9781849196611",

series = "IET Seminar Digest",

number = "4",

booktitle = "Sensor Signal Processing for Defence, SSPD 2011",

edition = "4",

note = "Sensor Signal Processing for Defence, SSPD 2011 ; Conference date: 27-09-2011 Through 29-09-2011",

}

Liu, J, Li, P, Li, L, De Lamare, RC & Burr, A 2011, Iterative QR decomposition-based detection algorithms with multiple feedback and dynamic tree search for LDPC-coded MIMO systems. in Sensor Signal Processing for Defence, SSPD 2011. 4 edn, IET Seminar Digest, no. 4, vol. 2011, Sensor Signal Processing for Defence, SSPD 2011, London, United Kingdom, 27/09/11. https://doi.org/10.1049/ic.2011.0170

TY - GEN

T1 - Iterative QR decomposition-based detection algorithms with multiple feedback and dynamic tree search for LDPC-coded MIMO systems

AU - Liu, Jingjing

AU - Li, Peng

AU - Li, Li

AU - De Lamare, Rodrigo C.

AU - Burr, Alister

PY - 2011

Y1 - 2011

N2 - In this paper, we present two innovative LDPC- coded QR decomposition-based soft-output detection techniques, both of which are able to achieve a near-ML performance with significant reduced complexity compare to other optimal detection solutions, such as MAP or list SD algorithms. The first detector (MF-QRD) employs a multi-feedback technique to select appropriate candidates when the symbols are unreliable. Another detection strategy called variable-M QRD (VM-QRD) detector is developed which dynamically adapts the number of detection candidates according to the channel variations in each detection layer. The irregular PEG LDPC code is employed as the outer channel code which provides efficient redundancy for mitigating remaining co-channel interference and additive noise. And simulation results show that the proposed algorithms have excellent performances.

AB - In this paper, we present two innovative LDPC- coded QR decomposition-based soft-output detection techniques, both of which are able to achieve a near-ML performance with significant reduced complexity compare to other optimal detection solutions, such as MAP or list SD algorithms. The first detector (MF-QRD) employs a multi-feedback technique to select appropriate candidates when the symbols are unreliable. Another detection strategy called variable-M QRD (VM-QRD) detector is developed which dynamically adapts the number of detection candidates according to the channel variations in each detection layer. The irregular PEG LDPC code is employed as the outer channel code which provides efficient redundancy for mitigating remaining co-channel interference and additive noise. And simulation results show that the proposed algorithms have excellent performances.

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U2 - 10.1049/ic.2011.0170

DO - 10.1049/ic.2011.0170

M3 - Conference contribution

AN - SCOPUS:84864873945

SN - 9781849196611

T3 - IET Seminar Digest

BT - Sensor Signal Processing for Defence, SSPD 2011

T2 - Sensor Signal Processing for Defence, SSPD 2011

Y2 - 27 September 2011 through 29 September 2011

ER -

Iterative QR decomposition-based detection algorithms with multiple feedback and dynamic tree search for LDPC-coded MIMO systems

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