sangeetha phase 2
TRANSCRIPT
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MULTIPLE FEEDBACK SUCCESSIVE INTERFERENCE CANCELLATION FOR
MU-MIMO USING IDD RECEIVER
By: Supervisor:
M.Sangeetha Ms.M.Kanthimathi,M.Tech,PhD
( 41910403015 ) Asst Professor / Gr- II
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AGENDA:
Objective
Introduction About Turbo multiuser detectorsTypes of Turbo detectors.Principle of decoding
IDD (Iterative Detection and Decoding)Receiver Interference Cancellation MAP Decoder Simulation Results References
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To obtain improved BER performance and reduced complexity for coded systems by implementing Iterative Detection and Decoding Receiver (IDD) with the proposed MB-MF-SIC detector.
OBJECTIVE:
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INTRODUCTION:
Multiuser Detection:
1. Refers to detection of data from multiple users when observed in a non-orthogonal multiplex.
2.Detection problem normally occurs in CDMA systems(Non-orthogonal)
Turbo Multiuser Detection: 1.Refers to joint channel decoding and multiuser
detection using an iterative exchange of soft info between two processes.
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TURBO MULTIUSER DETECTORS:
Optimum MUD( Matched Filter) Linear MUD (MMSE Detector ) Non Linear MUD (Decision Feedback MUD)
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OPTIMUM MUD:
Matched filter:
1. Requires knowledge of the amplitude of all “k” users
after transmission through the channel. 2.complexity issue.
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LINEAR MUD:
Minimum Mean Square Error Detector:
1.Linear constraint can restrict the performance.
2.Easy to exist adapting algorithms.
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NON LINEAR DETECTOR:
Decision Feedback MUD:
1.Feedback is used to reduce the MAI(Multiple Access Interference)
2.can’t applied to realistic wireless channel since it requires accurate channel estimates.
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IDD (ITERATIVE DETECTION AND
DECODING ) RECEIVER: Recent type Based on turbo-principle. Decoding is an iterative process. Use previously made decisions to reduce MAI. Soft decisions are passed back and forth b/w two SISO
channel decoders with interleaving. Interference cancellation is of 2 types.
a) Parallel Interference Cancellation
b) Successive Interference Cancellation
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INTERFERENCE CANCELLATION:
PARALLEL IC
• Simultaneously process all the K users.
• Cancel their interference after decoding independently.
• Requires more than one iteration per user. Cos 1st iteration generates noisy estimates for all the K users.
• Subsequent iterations becoming increasingly more accurate
SUCCESSIVE IC
• Requires atleast K iterations• Each iteration is much less
complex than in PIC, being performed for only one user.
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PRINCIPLE OF IDD:
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SISO DETECTOR:
A posteriori log likelihood ratio (LLR) of the -th convolutionally 𝑗encoded bit of the -th user’s channel coding block is given by𝑘
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MAP DECODER:
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SIMULATION RESULTS:
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INFERENCE:
NO OF
ITERATIONS
BER VALUES OBTAINED
Conventional SIC MF-SIC MB-MF-SIC
1 0.04135 0.0309 0.02133
2 0.02283 0.01286 0.0003131
3 0.02192 0.01051 0.0008497
4 0.02118 0.01051 0.0003922
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[1]. Peng Li, Rodrigo C. de Lamare, and Rui Fa,
‘‘Multiple Feedback Successive Interference Cancellation Detection for Multiuser MIMO Systems, ” IEEE transactions on wireless communications, vol. 10, no. 8, august.2011.
[2].C. Windpassinger, L. Lampe, R. F. H. Fischer, and
T, Hehn, “A performance study of MIMO detectors,” IEEE Trans. Wireless Commun., vol. 5, no. 8, pp. 2004– 2008, Aug. 2006.
[3].R. Fa and R. C. de Lamare, “Multi-branch successive interference cancellation for MIMO spatial multiplexing systems,” IET Commun., vol. 5, no. 4, pp. 484–494, Mar. 2011.
REFERENCES:
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[4]. M. Chiani, “Introducing erasures in decision-feedback equalization to reduce error propagation,” IEEE Trans. Commun., vol. 45, no. 7, pp. 757–760, July 1997.
[5]. X. Wang and H. V. Poor, “Iterative (Turbo) soft interference cancellation and decoding for coded CDMA,” IEEE Trans. Commun., vol. 47, no. 7, pp. 1046–1061, 1999
[6]. A. Paulraj, R. Nabar, D. Gore, Introduction to Space-Time Wireless Communications. Cambridge University Press, 2003.
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THANK YOU