• Title/Summary/Keyword: MIMO decoding

검색결과 124건 처리시간 0.022초

A QOC Signal Detection Method for Spatially Multiplexed MIMO Systems (공간다중화 MIMO 시스템을 위한 QOC 신호검출 기법)

  • Im, Tae-Ho;Kim, Jae-Kwon;Cho, Yong-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • 제35권9C호
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    • pp.771-777
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    • 2010
  • This paper proposes a new signal detection method, called QR-OSIC with Candidates (QOC) method, for spatially multiplexed multiple input multiple output (MIMO) systems. By using the ordered successive interference cancellation (OSIC) algorithm and the maximum likelihood (ML) metric, the proposed method achieves near-ML performance without requiring a large number of candidates. Although the proposed method can be used for both hard and soft decoding systems, it is especially useful for soft decoding systems since the LLR values for all the bits can be efficiently computed without using LLR estimation. The proposed method is also suitable for VLSI implementation since it leads to fixed throughput system.

An Algorithm for Iterative Detection and Decoding MIMO-OFDM HARQ with Antenna Scheduling

  • Kim, Kyoo-Hyun;Kang, Seung-Won;Mohaisen, Manar;Chang, Kyung-Hi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제2권4호
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    • pp.194-208
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    • 2008
  • In this paper, a multiple-input-multiple-output (MIMO) hybrid-automatic repeat request (HARQ) algorithm with antenna scheduling is proposed. It retransmits the packet using scheduled transmit antennas according to the state of the communication link, instead of retransmitting the packet via the same antennas. As a result, a combination of conventional HARQ systems, viz. chase combining (CC) and incremental redundancy (IR) are used to achieve better performance and lower redundancy. The proposed MIMO-OFDM HARQ system with antenna scheduling is shown to be superior to conventional MIMO HARQ systems, due to its spatial diversity gain.

Sphere Decoding Algorithm for MIMO System (MIMO 시스템을 위한 Sphere Decoding 알고리즘)

  • An, Jin-Young;Park, Hee-Jun;Kim, Sang-Choon
    • Proceedings of the KIEE Conference
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    • 대한전기학회 2008년도 학술대회 논문집 정보 및 제어부문
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    • pp.115-116
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    • 2008
  • 본 논문에서는 다중입력 다중출력(Multiple Input Multiple Output: MIMO) 시스템에서 Maximum Likelihood (ML) 수신기와 같은 성능을 가지지만 복잡도가 낮은 Sphere Decoding (SD) 알고리즘에 대해 분석하고, 그 성능을 평가한다. 각각의 송신 안테나에서 채널로 전송되는 독립적인 신호는 QPSK 방식을 사용하여 변조되며, 채널은 산란이 활발하게 일어나는 레일리(Rayleigh) 평탄 페이딩 채널로 가정한다. 수신기에서 수신된 신호는 Fincke & Pohst SD 알고리즘에 의해 간 송신 안테나로부터의 독립적인 신호로 검파되며 그 성능이 ML수신기의 성능과 비교되었다. 추가적으로 복잡도를 줄이기 위해 개선된 형태인 Viterbo & Boutros SD 알고리즘을 이용하여 검파된 신호의 BER 성능과 부동 소수점 연산량 (Floating Point Operations: FLOPS)이 각각 비교 분석되었다.

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A Joint Channel Estimation and Data Detection for a MIMO Wireless Communication System via Sphere Decoding

  • Patil, Gajanan R.;Kokate, Vishwanath K.
    • Journal of Information Processing Systems
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    • 제13권4호
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    • pp.1029-1042
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    • 2017
  • A joint channel estimation and data detection technique for a multiple input multiple output (MIMO) wireless communication system is proposed. It combines the least square (LS) training based channel estimation (TBCE) scheme with sphere decoding. In this new approach, channel estimation is enhanced with the help of blind symbols, which are selected based on their correctness. The correctness is determined via sphere decoding. The performance of the new scheme is studied through simulation in terms of the bit error rate (BER). The results show that the proposed channel estimation has comparable performance and better computational complexity over the existing semi-blind channel estimation (SBCE) method.

Low-Complexity HPGA Decoding Methods for Core-Layer Signal in LDM-MIMO ATSC 3.0 Broadcasting Systems (LDM-MIMO ATSC 3.0 방송 시스템의 Core-Layer 신호를 위한 저복잡도 HPGA 복호 기법들)

  • Kim, Seunghyeon;Shang, Yulong;Jung, Taejin
    • Journal of Broadcast Engineering
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    • 제27권1호
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    • pp.146-149
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    • 2022
  • In this letter, we propose low-complexity Hybrid-Partial-Gaussian-Approximation (HPGA) decoding methods for core-layer signal of Layered-Division-Multiplexing Multiple-Inputs-Multiple- Outputs ATSC 3.0 broadcasting systems. The proposed HPGA decoding methods have an advantage of being able to greatly reduce decoding complexity without significant performance degradation compared to a conventional PGA method, by selectively using existing GA and PGA methods according to a received injection-level at an each receive antenna.

An Adaptive K-best detection algorithm for MIMO systems (다중 송수신 안테나 시스템에서 적응 K-best 검출 알고리즘)

  • Kim, Jong-Wook;Kang, Ji-Won;Lee, Chung-Yong
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • 제43권10호
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    • pp.1-7
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    • 2006
  • Lattice decoding concept has been proposed for the implementation of the Maximum-Likelihood detection which is the optimal receiver from the viewpoint of the BER (Bit Error Rate) performance for MIMO (Multiple Input Multiple Output) systems. Sphere decoding algorithm and K-best decoding algorithm are based on the lattice decoding concept. A K-best decoding algorithm shows a good BER performance with relatively low complexity. However, with small K value, the error propagation effect severely degrades the performance. In this paper, we propose an adaptive K-best decoding algorithm which has lower average complexity and better BER performance than conventional K-best decoding algorithm.

Performance Analysis of Layer Pruning on Sphere Decoding in MIMO Systems

  • Karthikeyan, Madurakavi;Saraswady, D.
    • ETRI Journal
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    • 제36권4호
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    • pp.564-571
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    • 2014
  • Sphere decoding (SD) for multiple-input and multiple-output systems is a well-recognized approach for achieving near-maximum likelihood performance with reduced complexity. SD is a tree search process, whereby a large number of nodes can be searched in an effort to find an estimation of a transmitted symbol vector. In this paper, a simple and generalized approach called layer pruning is proposed to achieve complexity reduction in SD. Pruning a layer from a search process reduces the total number of nodes in a sphere search. The symbols corresponding to the pruned layer are obtained by adopting a QRM-MLD receiver. Simulation results show that the proposed method reduces the number of nodes to be searched for decoding the transmitted symbols by maintaining negligible performance loss. The proposed technique reduces the complexity by 35% to 42% in the low and medium signal-to-noise ratio regime. To demonstrate the potential of our method, we compare the results with another well-known method - namely, probabilistic tree pruning SD.

Reduced Complexity QRD-M Algorithm for Spatial Multiplexing MIMO-OFDM Systems (공간 다중화 MIMO-OFDM 시스템을 위한 복잡도 감소 QRD-M 알고리즘)

  • Mohaisen, Manar;An, Hong-Sun;Chang, Kyung-Hi
    • The Journal of Korean Institute of Communications and Information Sciences
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    • 제34권4C호
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    • pp.460-468
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    • 2009
  • Multiple-input multiple-output (MIMO) technology applied with orthogonal frequency division multiplexing (OFDM) is considered as the ultimate solution to increase channel capacity without any additional spectral resources. At the receiver side, the challenge resides in designing low complexity detection algorithms capable of separating independent streams sent simultaneously from different antennas. In this paper, we introduce an upper-lower bounded-complexity QRD-M algorithm (ULBC QRD-M). In the proposed algorithm we solve the problem of high extreme complexity of the conventional sphere decoding by fixing the upper bound complexity to that of the conventional QRD-M. On the other hand, ULBC QRD-M intelligently cancels all unnecessary hypotheses to achieve very low computational requirements. Analyses and simulation results show that the proposed algorithm achieves the performance of conventional QRD-M with only 26% of the required computations.

ML Symbol Detection for MIMO Systems in the Presence of Channel Estimation Errors

  • Yoo, Namsik;Back, Jong-Hyen;Choi, Hyeon-Yeong;Lee, Kyungchun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권11호
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    • pp.5305-5321
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    • 2016
  • In wireless communication, the multiple-input multiple-output (MIMO) system is a well-known approach to improve the reliability as well as the data rate. In MIMO systems, channel state information (CSI) is typically required at the receiver to detect transmitted signals; however, in practical systems, the CSI is imperfect and contains errors, which affect the overall system performance. In this paper, we propose a novel maximum likelihood (ML) scheme for MIMO systems that is robust to the CSI errors. We apply an optimization method to estimate an instantaneous covariance matrix of the CSI errors in order to improve the detection performance. Furthermore, we propose the employment of the list sphere decoding (LSD) scheme to reduce the computational complexity, which is capable of efficiently finding a reduced set of the candidate symbol vectors for the computation of the covariance matrix of the CSI errors. An iterative detection scheme is also proposed to further improve the detection performance.

An Optimized Double-ABBA Quasi-Orthogonal Space Time Code with PIC Group Decoding (PIC 그룹 복호화를 이용한 최적화된 Double-ABBA 유사 직교 시공간 부호)

  • Hanif, Mohammad Abu;Lee, Moon Ho;Park, Ju Yong
    • Journal of the Institute of Electronics and Information Engineers
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    • 제50권1호
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    • pp.21-26
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    • 2013
  • In this paper we propose a system where we divide the group with 2 symbols. The two added symbols are separated by multiplexing and later added using the DE-multiplexing technique. In our proposed system a simple Partial Interference Cancelation (PIC) group decoding scheme is used for Double-ABBA(D-ABBA) Quasi-Orthogonal Space Time Code, which reduces the decoding complexity for the higher order Multiple Input Multiple Output (MIMO) space time block coding. Finally we compare the proposed scheme performance using the different modulation schemes.