MIMO Radar Waveform Design With Constant Modulus and Similarity Constraints
By Guolong Cui, Hongbin Li, M. Rangaswamy. IEEE Transactions on Signal Processing, 2014
507 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Oceanography
View Paper: https://www.semanticscholar.org/paper/fb73de3416f2225868cd2c3a520cdd76d9748d56
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
- Jie Xu
- Yonina C. Eldar
- Tony X. Han
- Derrick Wing Kwan Ng
- Athina P. Petropulu
- Yuanhao Cui
In Oceanography
Citations in the corpus
- Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond (2021, background): “From (30), on the other hand, the signal-to-clutter-plus-noise ratio (SCNR) of the target return is expressed as [124]”
- Optimum Co-Design for Spectrum Sharing between Matrix Completion Based MIMO Radars and a MIMO Communication System (2015, methodology): “From another perspective, the EIP is a reasonable surrogate of the radar SINR, which is widely used as figure of merit in the literature [52], [53], as in this paper we do not assume any prior information on target parameters.”
- Space-time transmit code and receive filter design for colocated MIMO radar (2016, methodology): “Moreover, the obtained results have also highlighted that the devised iterative procedure exhibits a significantly lower computational burden with respect to the algorithm proposed in [4].”
- Toward Dual-functional Radar-Communication Systems: Optimal Waveform Design (2017, methodology): “Due to the NP-hardness of these problems, only suboptimal solutions can be obtained via either convex relaxation methods or local algorithms, such as Semidefinite Relaxation (SDR) [36], [37] and Riemannian manifold methods [33], [35].”
- Constant Modulus Shaped Beam Synthesis via Convex Relaxation (2017, unknown): “By the randomization techniques, ”max mean rand [6]” and ”max min rand [6]” are achieved by the ”best” random vectors among one million ζ ∼ N (0,W ) based on the criteria”
- Full-Duplex Communication for ISAC: Joint Beamforming and Power Optimization (2022, methodology): “The corresponding joint transceiver design can be solved via the algorithms proposed in [26], [27].”