WO2008050967A1 - Procédé de détection et appareil pour systèmes mimo multiplexés - Google Patents

Procédé de détection et appareil pour systèmes mimo multiplexés Download PDF

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Publication number
WO2008050967A1
WO2008050967A1 PCT/KR2007/005055 KR2007005055W WO2008050967A1 WO 2008050967 A1 WO2008050967 A1 WO 2008050967A1 KR 2007005055 W KR2007005055 W KR 2007005055W WO 2008050967 A1 WO2008050967 A1 WO 2008050967A1
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WO
WIPO (PCT)
Prior art keywords
layer
candidate
symbol
layers
snr
Prior art date
Application number
PCT/KR2007/005055
Other languages
English (en)
Inventor
Seung-Jae Bahng
Youn-Ok Park
Original Assignee
Electronics And Telecommunications Research Institute
Samsung Electronics Co., Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from KR1020070024937A external-priority patent/KR100816057B1/ko
Application filed by Electronics And Telecommunications Research Institute, Samsung Electronics Co., Ltd filed Critical Electronics And Telecommunications Research Institute
Publication of WO2008050967A1 publication Critical patent/WO2008050967A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/02—Arrangements for detecting or preventing errors in the information received by diversity reception
    • H04L1/06—Arrangements for detecting or preventing errors in the information received by diversity reception using space diversity
    • H04L1/0618—Space-time coding
    • H04L1/0631—Receiver arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03006—Arrangements for removing intersymbol interference
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/02—Arrangements for detecting or preventing errors in the information received by diversity reception
    • H04L1/06—Arrangements for detecting or preventing errors in the information received by diversity reception using space diversity
    • H04L1/0618—Space-time coding
    • H04L1/0637—Properties of the code
    • H04L1/0656—Cyclotomic systems, e.g. Bell Labs Layered Space-Time [BLAST]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03006—Arrangements for removing intersymbol interference
    • H04L2025/0335—Arrangements for removing intersymbol interference characterised by the type of transmission
    • H04L2025/03426—Arrangements for removing intersymbol interference characterised by the type of transmission transmission using multiple-input and multiple-output channels

Definitions

  • the present invention relates to a signal detection method in a multiple input multiple output (MIMO) system using a spatial multiplexing scheme, and a receiving apparatus of the MIMO system.
  • MIMO multiple input multiple output
  • a fourth generation mobile communication-based wireless communication system requires high-speed data services for images and packets instead of services based on voice. Accordingly, a multiple input multiple output (MIMO) system is being spotlighted since the MIMO system uses a spatial multiplexing method in which high-rate data transmission can be performed by transmitting multiple data streams (here, each stream is also referred to as a "layer") to satisfy such a requirement.
  • transmitting antennas respectively transmit data layers including different pieces of information
  • a receiving terminal separates the transmitted data layers.
  • a conventional maximum likelihood (ML) signal detection method for detecting a transmission signal vector having ML metric values of available combinations of transmission signal vectors to detect a transmission signal has optimum performance.
  • the conventional ML signal detection method may not be realized since complexity is problematically increased according to the number of transmitting antennas and the number of constellation points.
  • a linear signal detection method reducing the complexity e.g., a zero forcing (ZF) method and a minimum mean square estimator (MMSE) has been suggested, but performance thereof is deteriorated compared to the ML method.
  • non-linear signal detection methods include an ordered successive interference cancellation (OSIC) method that is known as a vertical Bell Lab layered space time (VBLAST) method.
  • OSIC ordered successive interference cancellation
  • VBLAST method may be simply realized, and performance thereof is increased compared to the performance of the ZF and MMSE methods, but is not greater than the ML method.
  • the above invention relates to a signal detection method in a multiple transmitting/receiving antenna system using the spatial multiplexing method.
  • a received signal is detected in a ZF method, and a first detection section is established from the detected signal.
  • the received signal is detected in the ML method in the first detection section, and a second detection section is established from the signal detected in the ZF method and the signal detected in the ML method.
  • the received signal is detected in the ML method in the second detection section, and a final value is established. Accordingly, while this conventional art has lower complexity than the ML method and higher performance than the ZF method or the MMSE method, it has lower performance than the ML method.
  • the present invention has been made in an effort to provide a signal detection method and a receiving apparatus that achieve low complexity compared to a maximum likelihood (ML) method and performance that is close to that of the ML method in a multiple input multiple output antenna system using a spatial multiplexing method.
  • ML maximum likelihood
  • a receiving apparatus in a multiple input multiple output (MIMO) system receives a transmission signal by a plurality of receiving antennas through a channel.
  • the receiving apparatus includes a layer aligning unit and a symbol detecting unit.
  • the layer aligning unit realigns channel estimated layers for received signals based on a signal-to-noise ratio.
  • the symbol detecting unit sets candidate groups of each layer according to the number of transmitting/receiving antennas of the MIMO system based on the layers realigned by the layer aligning unit, and detects a final transmitting signal vector from the set candidate groups.
  • the layer aligning unit realigns the received signals from a layer having a high SNR to a layer having a low SNR.
  • the symbol detecting unit includes a candidate setting unit and a transmitting signal setting unit.
  • the candidate setting unit sets the candidate groups of the layers according to the number of transmitting/receiving antennas of the MIMO system.
  • the transmitting signal setting unit detects the final transmitting signal vector for the candidate groups set by the candidate setting unit by using a maximum likelihood (ML) metric.
  • the candidate setting unit projects a projection matrix to a sub-space that is orthogonal to a sub-space, and sets symbol candidate groups including the layers of the corresponding step and the previously processed layers.
  • the projection matrix includes layer channels except for layer channels processed in a corresponding step.
  • channel estimated layers for received signals are realigned based on a SNR, candidate groups of each corresponding layer are set according to the realigned layers, and a final transmitting signal vector is detected from the set candidate groups.
  • a first layer candidate group having the highest SNR among the realigned received signals is set, and subsequent layers and layer candidate groups are sequentially set by using the first layer candidate group.
  • FIG. 1 is a block diagram of a multi-input multi-output (MIMO) system according to an exemplary embodiment of the present invention.
  • FIG. 2 shows a method for a symbol detector of the MIMO system to detect a received signal according to the exemplary embodiment of the present invention.
  • MIMO multi-input multi-output
  • FIG. 3 shows an operation algorithm of the symbol detector of the MIMO system according to the exemplary embodiment of the present invention.
  • FIG. 4 shows a bit error rate according to a signal detection method in the case of using four transmitting antennas, four receiving antennas, and 16-QAM modulation.
  • FIG. 5 shows a bit error rate according to a signal detection method in the case of using four transmitting antennas, four receiving antennas, and QPSK modulation.
  • a signal detection method and a receiving apparatus in a multiple input multiple output (MIMO) system will be described with reference to the figures.
  • FIG. 1 is a block diagram of a multi-input multi-output (MIMO) system according to an exemplary embodiment of the present invention.
  • MIMO multi-input multi-output
  • transmission signals transmitted via a plurality of transmitting antennas in a transmitting side of the MIMO system are transmitted via a plurality of receiving antennas in a receiving side of the MIMO system through a channel.
  • the MIMO system is formed of a transmitting apparatus 100 and a receiving apparatus 200.
  • the transmitting apparatus 100 includes a signal processing unit 110, a symbol mapping unit 120, a demultiplexing unit 130, and four transmitting antennas 140
  • the receiving apparatus 200 includes a channel estimation and layer aligning unit 210, a symbol detecting unit 220, a multiplexing unit 230, a symbol demapping unit 240, a signal processing unit 250, and four receiving antennas 260.
  • the signal processing unit 110 of the transmitting apparatus 100 processes transmitting data through scrambling, error correction coding, and interleaving processes, and transmits the processed transmitting data to the symbol mapping unit 120.
  • the transmitting data transmitted from the signal processing unit 110 means binary data transmitted from a medium access control (MAC) layer to a physical layer.
  • the symbol mapping unit 120 converts the transmitting data processed by the signal processing unit 110 into symbols according to a modulation method. Such high-speed symbols are divided into four low-speed data layers according to the number of transmitting antennas 140 through the demultiplexing unit 130, and the four data layers are simultaneously transmitted through the transmitting antennas 140.
  • the signals transmitted from the transmitting apparatus 100 to the receiving apparatus 200 through the channel are received in parallel via the receiving antennas 260 in the receiving apparatus 200, and then forwarded to the channel estimation and layer aligning unit 210 for MIMO channel estimation and layer re-alignment.
  • the layer aligning unit 210 realigns the signals from a layer having the highest reliability to a layer having the lowest reliability. Reliability of the re-aligned layers is determined on the basis of a signal-to-noise ratio (SNR). That is, the symbol detecting unit 220 sets a transmitting symbol with received channel information and realigned received signals.
  • SNR signal-to-noise ratio
  • the received data is processed through the multiplexing unit 230, the symbol demapping unit 240, and the signal processing unit 250, which perform opposite functions to those of the signal processing unit 110, the symbol mapping unit 120, and the demultiplexing unit 130 of the transmitting apparatus 100.
  • FIG. 2 shows a method for the signal detecting unit 220 of the MIMO system to detect a received signal according to the exemplary embodiment of the present invention.
  • the symbol detecting unit 220 includes a plurality of candidate group setting units 221 , 222, 223, and 224 that set candidate groups for each layer according to the number of transmitting/receiving antennas of the MIMO system, and a transmitting signal setting unit 225 that detects a final transmitting symbol vector through the plurality of candidate setting units 221 , 222, 223, and 224.
  • a signal is received through the receiving antennas 260 in the receiving apparatus 200, and then forwarded to the channel estimation and layer aligning unit 210.
  • a channel estimator of the channel estimation and layer aligning unit 210 estimates and compensates distortion of the signal caused by multi-path fading of a MlMO channel, and a layer aligning unit of the channel estimation and layer aligning unit 210 performs layer re-alignment.
  • Jc 1 in the transmitting signal becomes a symbol of a layer with the highest SNR
  • x 4 becomes a symbol of a layer with the lowest
  • the symbol detecting unit 220 sets candidate groups of the corresponding layer four times through an ( X 1 ) candidate group setting unit 221, an ( ⁇ 15 ⁇ 2 ) candidate group setting unit 222, an (X 15 X 25 X 3 ) candidate group setting unit 223, and an (x 15 x 25 x 3 ,x 4 ) candidate group setting unit 224, and the transmitting signal setting unit 225 acquires the final transmitting signal vector.
  • Equation 4 Equation 4
  • Equation 5 Equation 5
  • FIG. 3 shows an operation algorithm of the symbol detector of the
  • Equation 6 Equation 6
  • ⁇ denotes a set of constellation points
  • C the number of constellation points
  • Equation 7 A matrix projected to a sub-space that is orthogonal to a signal sub-space that can be formed of channels h 3 and h 4 , excluding layers corresponding to (X 15 X 2 ) , is defined as P 2 .
  • H 34 [Zz 3 , /* 4 ]
  • P 2 can be obtained as given in Equation 7.
  • P 3 is obtained as given in Equation 8 by using the same method used as in the (X 1 , x 2 ) candidate group setting unit 222.
  • a j S number of (X 1 , x 2 , X 3 )s is selected from a ( ⁇ x C) number of (X 1 ,X 29 X 3 )* .
  • the transmitting signal setting unit 225 applies a maximum likelihood (ML) metric of Equation 10 to the ⁇ number of vectors included in B4.
  • FIG. 4 and FIG. 5 respectively show results of comparison simulations between the detection method according to the exemplary embodiment of the present invention, the ML detection method, and a conventional detection method.
  • FIG. 4 shows a bit error rate according to a signal detection method in the case of using four transmitting antennas, four receiving antennas, and 16-QAM modulation.
  • the signal detection method according to the exemplary embodiment of the present invention provides excellent performance compared to a linear signal detection method (e.g., ZF and MMSE), and the performance of the signal detection method according to the exemplary embodiment of the present invention is close to performance of the ML.
  • a linear signal detection method e.g., ZF and MMSE
  • the performance of the signal detection method according to the exemplary embodiment of the present invention is close to performance of the ML.
  • the complexity is determined in relation to a real number multiplier
  • the ML method requires 525,312 real number multipliers and the exemplary embodiment of the present invention requires 3451 real number multipliers. Therefore, the signal detection method according to the present embodiment has complexity of 0.66% compared to the ML method.
  • FIG. 5 shows a bit error rate according to a signal detection method in the case of using four transmitting antennas, four receiving antennas, and QPSK modulation.
  • the signal detection method according to the exemplary embodiment of the present invention closely compares with the performance of the ML method according to an experimental result. Accordingly, since the MIMO system using the spatial multiplexing method is used in the exemplary embodiment of the present invention, the complexity is less than that of the ML method, and the performance thereof may reach that of the ML method.
  • the performance may reach the performance of the ML method without performing an exhaustive full search of the ML method known as an optimum method in the MIMO system using the spatial multiplexing method, and hardware may be easily realized since the complexity is considerably reduced.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Power Engineering (AREA)
  • Radio Transmission System (AREA)

Abstract

La présente invention concerne un procédé de détection de signaux et un appareil de réception dans un système à entrées multiples sorties multiples (MIMO). Dans l'appareil de réception du système MIMO selon un mode de réalisation donné à titre d'exemple de la présente invention, des couches d'estimation de voie pour des signaux reçus sont séquentiellement réalignées à partir d'une couche présentant un rapport signal sur bruit (RSB) vers une couche présentant un faible RSB. Des groupes candidats de chaque couche correspondante sont définis en fonction des couches réalignées, et un vecteur de signaux de transmission final est détecté à partir des groupes candidats définis.
PCT/KR2007/005055 2006-10-23 2007-10-16 Procédé de détection et appareil pour systèmes mimo multiplexés WO2008050967A1 (fr)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
KR20060103023 2006-10-23
KR10-2006-0103023 2006-10-23
KR10-2007-0024937 2007-03-14
KR1020070024937A KR100816057B1 (ko) 2006-10-23 2007-03-14 다중 송수신 시스템에서의 신호검출 방법 및 수신 장치

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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050008092A1 (en) * 2002-04-09 2005-01-13 Tamer Kadous Ordered successive interference cancellation receiver processing for multipath channels

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050008092A1 (en) * 2002-04-09 2005-01-13 Tamer Kadous Ordered successive interference cancellation receiver processing for multipath channels

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
JEE WOONG KANG AND KWANG BOK LEE: "Simplified ML Detection Scheme for MIMO Systems", VTC 2004-SPRING. 2004 IEEE 59TH, vol. 2, 17 May 2004 (2004-05-17) - 19 May 2004 (2004-05-19), pages 824 - 827, XP010766024 *
LE A.T., TRAN X.N., FUJINO T.: "Combined ML and MMSE Multiuser Detection for STBC-OFDM Systems", IEICE TRANS. ON FUNDAMENTALS, SPECIAL SECTION ON INFORMATION THEORY AND ITS APPLICATION, vol. E88-A, no. 10, October 2005 (2005-10-01), pages 2915 - 2925 *
UKATANI T., MATSUMOTO R., UYEMA TSU T.: "Two Methods for Decreasing the Computational Complexity of the MIMO ML Decoder", IEICE TRANS. FUNDAM ELECTRON COMMUN. COMPUT. SCI., vol. E87-A, no. 10, 2001, pages 2571 - 2576 *

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