Target Detection and Localization Using MIMO Radars and Sonars
By I. Bekkerman, Joseph Tabrikian. IEEE Transactions on Signal Processing, 2006
1,255 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Signal Processing
View Paper: https://www.semanticscholar.org/paper/a2f3d776090899176da8fb072e53b2c27180c16b
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
- Yonina C. Eldar
- Rick S. Blum
- A. Haimovich
- Hana Godrich
- Ang Li
- Moeness G. Amin
In Signal Processing
- Rick S. Blum
- Christos Masouros
- Fan Liu
- A. Haimovich
- Hana Godrich
- Aboulnasr Hassanien
- Moeness G. Amin
- Ang Li
Citations in the corpus
- The Rise of Radar for Autonomous Vehicles: Signal processing solutions and future research directions (2019, methodology): “After the introduction of colocated MIMO radar in [13], the problem of optimal waveform design for various scenarios and under different criteria has been intensively investigated.”
- Target Localization Accuracy Gain in MIMO Radar-Based Systems (2008, methodology): “For low SNR scenarios, the Barankin bound is derived in [10], demonstrating that the use of orthogonal signals re sults in a lower SNR threshold for transitioning into the region of higher estimation error.”
- Phased-MIMO Radar: A Tradeoff Between Phased-Array and MIMO Radars (2009, background): “In the last decade, the development of a new radar paradigm th at is best known under the title multipleinput multiple-output (MIMO) radar has become the focus of intensive research [8]–[15].”
- Dual-Function Radar-Communications: Information Embedding Using Sidelobe Control and Waveform Diversity (2016, background): “For detailed discussions on the advantages of MIMO radar over SIMO radar in terms of DOA estimation performance, see [23]–[31].”
- Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming (2021, methodology): “First of all, let us choose the center of the ULA antennas as the reference point, in which case the transmit steering vector and its derivative can be written as (assuming even number of antennas) [28]”
- 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].”
- Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar (2019, methodology): “The generalized likelihood ratio test proposed in [76] is applied to detect the target.”