Optimum Array Processing
By H. V. Trees. 2002
2,085 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/a459230582e76887f732592323ce92f48f9978d0
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
- Rick S. Blum
- A. Haimovich
- Giacomo Oliveri
- Len Cimini
- Andrea Massa
- P. Vaidyanathan
- Chun-Yang Chen
- Yonina C. Eldar
In Electrical and Electronic Engineering
- Giacomo Oliveri
- Andrea Massa
- Yonina C. Eldar
- M. Davies
- Reinaldo A. Valenzuela
- Sergiy A. Vorobyov
- Mats Gustafsson
- Eran Fishler
Citations in the corpus
- Beampattern Synthesis for Linear and Planar Arrays With Antenna Selection by Convex Optimization (2010, neutral): “satelite and mobile communications [15].”
- On Electromagnetics and Information Theory (2008, methodology): “forming algorithms, like Widrow or Howells-Applebaum algorithms [35], used in the adaptive antennas.”
- On signal reconstruction without phase (2006, background): “For more details see [1,8,17] and many other books on this topic.”
- MIMO radar: an idea whose time has come (2004, methodology): “Since it is a small error bound, this bound ignores the full structure of the parameter space [12], which may result in nonsensical values.”
- Maximum Efficiency Beam Synthesis of Radiating Planar Arrays for Wireless Power Transmission (2013, methodology): “DPSSs can be mathematically determined [19], [20] by computing the eigenvectors associated to the maximum eigenvalues of an eigenvalue problem [21].”
- Antenna Current Optimization using MATLAB and CVX (2016, methodology): “In array synthesis the optimal performance of the beamwidth and sidelobe level [53, 55, 69], for instance, is used as the optimization parameter to determine the array excitation.”
- Rank Awareness in Joint Sparse Recovery (2010, background): “enius norm is popular in array signal processing [32], as it can be related to a maximum likelihood cost function in the presence of Gaussian observation noise. Schemes such as Alternating Projection [33] can be used to search for a local minimum of this cost function and have been applied to great ”
- Digital signal processing (2018, neutral): “However, modern architectures provide multicore processors and vector registers that can be exploited in time consuming applications, typically including image and signal processing ones .”
- Optimal Shrinkage-Based Portfolio Selection in High Dimensions (2016, methodology): “Famous example is the equivalence of the GMV portfolio to the so-called Capon or minimum variance distortionless response (MVDR) beamformer (see, Verdú (1998); Van Trees (2002)).”
- GPS Vulnerability to Spoofing Threats and a Review of Antispoofing Techniques (2012, background): “This problem can be solved by employing larger antenna arrays because the ambiguity region of antenna beam pattern considerably decreases as the number of array elements increases [26].”