Abstract / truncated to 115 words (read the full abstract)

Multi-input and multi-output (MIMO) radars achieve high resolution of arrival direction by transmitting orthogonal waveforms, performing matched filtering at the receiver end and then jointly processing the measurements of all receive antennas. This dissertation studies the use of compressive sensing (CS) and matrix completion (MC) techniques as means of reducing the amount of data that need to be collected by a MIMO radar system, without sacrificing the system’s good resolution properties. MIMO radars with sparse sensing are useful in networked radar scenarios, in which the joint processing of the measurements is done at a fusion center, which might be connected to the receive antennas via a wireless link. In such scenarios, reduced amount of data ... toggle 13 keywords

multiple-input multiple-output (mimo) radar compressive sensing matrix completion waveform design direction of arrival sub-nyquist sparsity low rank basis mistach off grid power allocation transmit beamforming clutter suppression


Sun, Shunqiao
Rutgers, The State University of New Jersey
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March 16, 2017

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