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Breakthroughs in Signal Processing for Radar and Wireless Communication

标题

Uniform Channel Decomposition for MIMO Communications

详细技术说明

None

*Abstract

Increases the Accuracy and Power of Multi-input Multi-output Antennas

This system of accurate and powerful antenna arrays for multi-input multi-output (MIMO) transmit beamforming improves applications in radar, sonar, wireless communication and biomedical imaging. A fundamental problem with array antenna processing as it exists today is synthesizing the array pattern. Available array patterns are inefficient and have no guarantee of global optimality.

Researchers at the University of Florida have created a powerful and flexible MIMO beamforming array design to improve the accuracy and efficiency of antenna arrays for communication and imaging applications.

Application

MIMO transmit beamforming system that improves wireless communication, radar, sonar, and biomedical imaging applications

Advantages

• Improves beampattern synthesis, providing the most accurate and efficient MIMO transmit system available
• Utilizes channel state information at both the transmitter and receiver, creating a spectrally-efficient bulwark against signal fading in wireless communications
• Outperforms existing transmit beamforming designs, offering a significant competitive advantage
• Balances transmit power allocations among various transmit antennas, increasing antenna amplifier efficiency

Technology

This MIMO transmit beamforming system implements with balanced power allocation among the various transmit antennas. The system functions with frequency-selective fading channels in both wireless communication systems and wireless local area networks. The system can improve any orthogonal frequency division multiplexing-based wireless network of multiple transmit antennas. Alternatively, its powerful and flexible beam pattern synthesis techniques for antenna or ultrasound transducer arrays can improve radar, sonar, communications, aeroacoustic noise measurement, and biomedical imaging. Matrix Weighting Approaches (MWAs) can utilize weight matrices at the array output to create an optimal array pattern synthesis. Additional variations based on data-adaptive MWAs include beampattern matching designs, minimum sidelobe designs, and the constant beamwidth design for wideband array while addressing the problem of optimal shading.

*IP Issue Date

May 4, 2010

*IP Publication Date

May 15, 2008

*Principal Investigation

Name: Jian Li

Department:

Name: Yi Jiang

Department:

主要类别

生物医学

细分类别

医学影像

申请日期

May 2, 2007

申请号码

7,711,066

其他

国家/地区

美国