MIMO radar theory and experimental results

By F. Robey, S. Coutts, D. Weikle, J. McHarg, Kevin Cuomo. Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004., 2004

480 citations recorded by the source corpus.

Subfields: Aerospace Engineering

View Paper: https://www.semanticscholar.org/paper/8da84ea04a289d06d314be75898d9aa96cdf7b55

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In Aerospace Engineering

Citations in the corpus

A 77-GHz FMCW MIMO Radar Based on an SiGe Single-Chip Transceiver (2009, methodology): “We overcome this problem via the application of the multiple-input multiple-output (MIMO) technique, which is used to synthesize virtual antennas [12].”
MIMO Radar with Widely Separated Antennas (2008, background): “These additional degrees of freedom support flexible time-energy management modes [14], lead to improved angular resolution [17], [18], and improve parameter identifiability [19].”
Overview of radar waveform diversity (2016, methodology): “That said, enhanced spatial resolution and reduced spatial sidelobes have been demonstrated for MIMO relative to a non-MIMO mode [255].”
Beampattern synthesis for wideband MIMO radar systems (2005, background): “Multiple-Input Multiple-Output (MIMO) radar is an emerging technology, still much in theoretical development, which is poised to take advantage of the high bandwidths, direct digital waveform synthesis, and waveform diversity of nextgeneration radar systems [1],[2],[3].”
Massive MIMO is a Reality - What is Next? Five Promising Research Directions for Antenna Arrays (2019, background): “Some of the theoretical ﬁndings for MIMO radars have already been validated in experiments, which have been conducted over the years by different research groups, see [120]– [123] and reference therein.”
Waveform Correlation and Optimization Issues for MIMO Radar (2005, background): “Multiple-input multiple-output (MIMO) radar is an emerging active sensing technology [1], [2], [3], [4], [5].”
Range Compression and Waveform Optimization for MIMO Radar: A CramÉr–Rao Bound Based Study (2007, unknown): “A = [a(θ1) · · · a(θK)], V = [v(θ1) · · · v(θK)], (3) θ = [θ1 · · · θK ] , b = [b1 · · · bK ] , B = diag(b), (4) with diag(b) denoting a diagonal matrix with b being its diagonal.”