Optimum Co-Design for Spectrum Sharing between Matrix Completion Based MIMO Radars and a MIMO Communication System

Spectrum sharing enables radar and communication systems to share the spectrum efficiently by minimizing mutual interference. Recently proposed multiple-input multiple-output radars based on sparse sensing and matrix completion (MIMO-MC), in addition to reducing communication bandwidth and power as...

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Bibliographic Details
Published in:	IEEE transactions on signal processing Vol. 64; no. 17; pp. 4562 - 4575
Main Authors:	Bo Li, Petropulu, Athina P., Trappe, Wade
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.09.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Antenna measurements Collocated MIMO radar Communication systems Communications systems Covariance matrix Design engineering Interference matrix completion MIMO radar Radar Radar antennas Radar receivers Sampling spectrum sharing Stems Transmitting antennas
ISSN:	1053-587X, 1941-0476
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Abstract	Spectrum sharing enables radar and communication systems to share the spectrum efficiently by minimizing mutual interference. Recently proposed multiple-input multiple-output radars based on sparse sensing and matrix completion (MIMO-MC), in addition to reducing communication bandwidth and power as compared with MIMO radars, offer a significant advantage for spectrum sharing. The advantage stems from the way the sampling scheme at the radar receivers modulates the interference channel from the communication system transmitters, rendering it symbol dependent and reducing its row space. This makes it easier for the communication system to design its waveforms in an adaptive fashion so that it minimizes the interference to the radar subject to meeting rate and power constraints. Two methods are proposed. First, based on the knowledge of the radar sampling scheme, the communication system transmit covariance matrix is designed to minimize the effective interference power (EIP) at the radar receiver, while maintaining certain average capacity and transmit power for the communication system. Second, a joint design of the communication transmit covariance matrix and the MIMO-MC radar sampling scheme is proposed, which achieves even further EIP reduction.
AbstractList	Spectrum sharing enables radar and communication systems to share the spectrum efficiently by minimizing mutual interference. Recently proposed multiple-input multiple-output radars based on sparse sensing and matrix completion (MIMO-MC), in addition to reducing communication bandwidth and power as compared with MIMO radars, offer a significant advantage for spectrum sharing. The advantage stems from the way the sampling scheme at the radar receivers modulates the interference channel from the communication system transmitters, rendering it symbol dependent and reducing its row space. This makes it easier for the communication system to design its waveforms in an adaptive fashion so that it minimizes the interference to the radar subject to meeting rate and power constraints. Two methods are proposed. First, based on the knowledge of the radar sampling scheme, the communication system transmit covariance matrix is designed to minimize the effective interference power (EIP) at the radar receiver, while maintaining certain average capacity and transmit power for the communication system. Second, a joint design of the communication transmit covariance matrix and the MIMO-MC radar sampling scheme is proposed, which achieves even further EIP reduction.
Author	Trappe, Wade Bo Li Petropulu, Athina P.
Author_xml	– sequence: 1 surname: Bo Li fullname: Bo Li email: paul.bo.li@rutgers.edu organization: Dept. of Electr. & Comput. Eng., State Univ. of New Jersey, Piscataway, NJ, USA – sequence: 2 givenname: Athina P. surname: Petropulu fullname: Petropulu, Athina P. email: athinap@rutgers.edu organization: Dept. of Electr. & Comput. Eng., State Univ. of New Jersey, Piscataway, NJ, USA – sequence: 3 givenname: Wade surname: Trappe fullname: Trappe, Wade email: trappe@winlab.rutgers.edu organization: Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA
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Snippet	Spectrum sharing enables radar and communication systems to share the spectrum efficiently by minimizing mutual interference. Recently proposed multiple-input...
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SubjectTerms	Antenna measurements Collocated MIMO radar Communication systems Communications systems Covariance matrix Design engineering Interference matrix completion MIMO radar Radar Radar antennas Radar receivers Sampling spectrum sharing Stems Transmitting antennas
Title	Optimum Co-Design for Spectrum Sharing between Matrix Completion Based MIMO Radars and a MIMO Communication System
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