MIMO Radar Signal Processing
1,315 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Signal Processing
View Paper: https://www.semanticscholar.org/paper/760fb5310b3eaeeda0898d44b395580db5cc7d73
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Fan Liu
- Christos Masouros
- Gerhard Krieger
- Alberto Moreira
- Athina P. Petropulu
- P. Vaidyanathan
- Irena Hajnsek
- Marwan Younis
In Signal Processing
- P. Vaidyanathan
- Piya Pal
- Athina P. Petropulu
- Dimitri Nion
- Gerhard Krieger
- Christos Masouros
- Lajos Hanzo
- Ang Li
Citations in the corpus
- Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead (2019, methodology): “Similar investigations in the MIMO radar literature have also revealed that, the CRB of target parameter estimation can be minimized by the use of orthogonal waveforms [58], in which case the spatial beampattern can be written as”
- An Overview of Signal Processing Techniques for Joint Communication and Radar Sensing (2021, neutral): “This enables a MIMO radar to achieve the spatial resolution corresponding to a virtual ULA with M T M R antennas [28].”
- Optimal Transmit Beamforming for Integrated Sensing and Communication (2021, neutral): “…the steering vector at direction θ m as in (5), and α a scaling coefficient, which is introduced to adjust the scaling level of ˜ P ( θ m ) such that the transmit beampattern can better match the scaled version of the desired beampattern ˜ P ( θ m ) , as commonly adopted in MIMO radar design [54].”
- MIMO-SAR: Opportunities and Pitfalls (2014, background): “…gain, [4] investigated the advantages of such a MIMO architecture to mitigate scintillations in the radar cross section (RCS) of point-like targets, and the edited book collection [5] compiled further analyses of MIMO concepts and processing techniques in the context of nonimaging radar systems.”
- MU-MIMO Communications With MIMO Radar: From Co-Existence to Joint Transmission (2017, background): “It is widely exploited that by employing uncorrelated wave-forms, MIMO radar has higher DoFs than the traditional phased-array radar [31]–[33].”
- Tensor Algebra and Multidimensional Harmonic Retrieval in Signal Processing for MIMO Radar (2010, background): “It can be seen as a particular case of the PARAFAC decomposition, where two loading matrices have a Vandermonde structure whereas the third loading matrix has no specific structure.”
- Sparse Sensing With Co-Prime Samplers and Arrays (2011, methodology): “The sum co-array arises naturally as the virtual array in colocated MIMO radars [6].”
- Toward Dual-functional Radar-Communication Systems: Optimal Waveform Design (2017, background): “ by minimizing the MUI energy. B. Radar Model It is widely known that by employing uncorrelated waveforms, MIMO radar achieves higher Degrees of Freedom (DoFs) than the traditional phased-array radar [35], [36]. The existing literature indicates that the design of such a beampattern is equivalent to”
- A tutorial on synthetic aperture radar (2013, background): “The effective number of phase centers can be increased by using additional transmitters [180].”
- An investigation of a frequency diverse array (2009, background): “Interest in MIMO radar has exploded since its initi al ntroduction, and several conference sessions and at least one book [86] have been devoted to the topic.”