Low-complexity lattice reduction algorithm for MIMO detectors with tree searching

Kim, Hyunsub; Lee, Hyukyeon; Koo, Ja Seong; Kim, Jaeseok

doi:10.1186/s13638-016-0756-4

Cited by 7 publications

(7 citation statements)

References 22 publications

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“…, N R ), which are applied to a parallelto-serial converter in order to combine the estimates to obtain the original transmitted signal. Considering a MIMO system with N T transmitting antennas and N R receiving antennas, the k-th symbol received by the m-th antenna is given by [24]:…”

Section: System Modelmentioning

confidence: 99%

“…Several detectors have been proposed in the literature, while this work adopts the MLD as a reference, which is adequate for minimizing the error probability on channels characterized by additive white Gaussian noise(AWGN) [1]. In this case, symbolŝ MLD estimated by the detector is given by [24]:ŝ…”

Section: A Signal Detectionmentioning

confidence: 99%

“…One possible drawback associated with the MLD lies in the fact that it is not adequate to impulsive noise channels. Besides, the computational complexity increases as the number of receiving antennas also does [24].…”

Section: A Signal Detectionmentioning

confidence: 99%

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A Novel Signal Detector in MIMO Systems Based on Complex Correntropy

et al. 2019

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In cellular systems, information signals must be transmitted at high rates and with high reliability. One of the possible solutions to meet such criteria is the use of systems with multiple transmitting and/or receiving antenna arranged in the form of a multiple-input, multiple-output (MIMO) system. However, signal processing techniques in MIMO systems are developed under the assumption of transmission on Gaussian channels, which may lead to the decrease of efficiency in non-Gaussian communication scenarios. In this context, the widespread use of MIMO systems in recent years has motivated the development of new processing techniques that can be employed in scenarios that also consider the presence of non-Gaussian noise in communication channels. This work proposes a novel signal detection technique for MIMO systems, which is called maximum correntropy detector (MCD), being adequate to environments characterized by Gaussian and non-Gaussian noise. The introduced approach is based on complex correntropy function and can be seen as a generalization of the maximum likelihood detector (MLD) concept. The MCD is evaluated on Gaussian and non-Gaussian channels, where superior performance is achieved when compared with the classic detectors, without significant increase of the computational complexity.

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Section: System Modelmentioning

confidence: 99%

Section: A Signal Detectionmentioning

confidence: 99%

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A Novel Signal Detector in MIMO Systems Based on Complex Correntropy

et al. 2019

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“…[20][21][22] Instead of only treating the LR and detection as two separate parts, an approach referred to as incremental LR (ILR) is recently proposed in the work of Gestner et al, 23 which optimises the LR and SIC process simultaneously. It is realised by utilising a reliability assessment (RA) 24,25 to early terminate (ET) the intermediate process of LR.…”

Section: Introductionmentioning

confidence: 99%

A Seysen's algorithm–based incremental lattice reduction

Schmeink

2019

Trans Emerging Tel Tech

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Lattice reduction (LR)–aided detections have attracted great attention in the symbol detection of multiple‐input–multiple‐output communication, especially for systems with larger scale antennas. Recently, the Lenstra‐Lenstra‐Lovász (LLL)–based incremental LR (ILR) algorithms have been proposed to employ an early termination to jointly conduct the LR and retrieve the symbol based on a partial successive interference cancellation (SIC) detection, which induces a significant performance improvement. In this paper, we propose to apply the Seysen's algorithm (SA) to the ILR. After providing the feasibility analysis, two novel SA involved algorithms are introduced and studied. In particular, a new sorted QR decomposition‐based SA algorithm is proposed and tested as it plays a key role in the SIC detection. Subsequently, a novel SA‐based ILR scheme is further developed and investigated. By simulations, we show that the proposed approach outperforms conventional LLL‐based ILR in various aspects, while only a marginal increment in the complexity, restricted to medium signal‐to‐noise‐ratio regions, is observed.

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“…Also, Kim et al . [17] discussed an early termination criterion in the context of tree searching to reduce the complexity of the LR‐aided SIC detector. Moreover, Bao et al .…”

Section: Introductionmentioning

confidence: 99%