Receive Antenna Subset Selection for MIMO Systems 2005

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Receive Antenna Subset Selection for MIMO Systems
2005
Group Members
Jinfeng Du
Adrian Schumacher Anders Lindgren
Maxime Maury Loghman Andimeh
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Outline

• Introduction
• MIMO Systems
• Problem
• Goal

• MATLAB Simulation
• Algorithm
• Passband Simulation
• Real Simulation

• DSP Implementation
• Transmitter
• Receiver

• System Overview
• Transmitter
• Receiver
• Frame Packing
• Switching

• GUI Implementation

• Conclusion

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Introduction

• MIMO Systems
• Consists of several antenna elements
• Increase data-rate at high SNR
• Transmit and receive several parallel data
  streams at the same frequency

• Problem
• Design and implement a 2 x (22) MIMO system
• Using antenna selection to improve performance

• Goal
• The system should be capable of transmitting two
  parallel streams at 9600 symbols/sec

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System Overview
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Transmitter
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Receiver
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Frame Packing
Frame stream 1
Frame stream 2
Symbols
Frame stream 1
Frame stream 2
Symbols
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Switching
Complementary set of S(n-1)
S(n-1)
R(n-1)
Frame stream 1
Frame stream 2
Estimation of the best set S(n)
Switching To R(n-1)
Switching To S(n-1)
Frame n
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MATLAB Simulation (Algorithm)

• Frequency offset estimation
• DPLL
• frequency offset 250 Hz
• error 0.1 Hz

• Synchronization

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MATLAB Simulation (Algorithm)

• Channel estimation
• Maximum Likelihood (ML)
• Filtered estimate

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MATLAB Simulation (Algorithm)

• Detector

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MATLAB Simulation (Algorithm)

• Antenna Subset Selection

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MATLAB Simulation (Algorithm)

• Antenna Subset Selection (Continue)

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MATLAB Simulation

• Passband Simulation

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MATLAB Simulation

• Real Channel

BER with different filters under different
Detectors
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DSP Implementation

• Transmitter
• Double Buffering
• swi processBuffer
• tsk tskHostComm
• State Machine

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DSP Implementation

• Receiver
• Double Buffering
• swi processBuffer
• tsk tskReceiver
• tskHostComm
• State Machine
• Encapsulated modules

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GUI Implementation (Transmitter)
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GUI Implementation (Receiver)
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Conclusion

• What we have achieved

• Well structured DSP project

• Friendly and powerful GUI

• Efficient algorithms

• Further improvements

• Closed loop PLL

• Equalizer

• Source and channel coding

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Questions ?