MIMO Radar Space–Time Adaptive Processing Using Prolate Spheroidal Wave Functions
By Chun-Yang Chen, P. Vaidyanathan. IEEE Transactions on Signal Processing, 2008
374 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Signal Processing
View Paper: https://www.semanticscholar.org/paper/ed1e8d0e4dd76882e84467f9d9e23ef5870cd4f1
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
- Athina P. Petropulu
- P. Vaidyanathan
- Sergiy A. Vorobyov
- Piya Pal
- Aboulnasr Hassanien
- Bo Li
- Wade Trappe
- H. Vincent Poor
In Signal Processing
- P. Vaidyanathan
- Aboulnasr Hassanien
- Piya Pal
- Sergiy A. Vorobyov
- Athina P. Petropulu
- H. Vincent Poor
- Yaojiang Yu
- Dimitri Nion
Citations in the corpus
- Phased-MIMO Radar: A Tradeoff Between Phased-Array and MIMO Radars (2009, methodology): “In particular, ifdT = NdR is chosen, then the resulting virtual array is a ULA of MN elements spaced dR wavelength apart from each other and its steering vector sim plifies to [14]”
- MIMO Radar Waveform Optimization With Prior Information of the Extended Target and Clutter (2009, background): “pability [30], [31], improved parameter identifiability [29], and enhanced flexibility for transmit beampattern design [5], [7].”
- Tensor Algebra and Multidimensional Harmonic Retrieval in Signal Processing for MIMO Radar (2010, background): “The resulting root-MUSIC and root-Capon techniques are faster and more accurate than their spectral counterparts [34].”
- Nested Arrays: A Novel Approach to Array Processing With Enhanced Degrees of Freedom (2010, background): “If the spacing at the transmitter is made times that at the receiver, then we can make the signals at the output of the matched filter at the receiver behave as if they have been received by a virtual array of sensors [10], [18], [21].”
- Optimum Co-Design for Spectrum Sharing between Matrix Completion Based MIMO Radars and a MIMO Communication System (2015, background): “The rationale behind considering a MIMO-type radar system is the high resolution which such systems can achieve with a relatively small number of transmit (TX) and receive (RX) antennas [15]–[18].”
- MIMO Radar Using Compressive Sampling (2009, methodology): “A MIMO radar system is advantageous in two different scenarios [4]-[6].”
- Overview of radar waveform diversity (2016, neutral): “, [284–289]).”