Generalized analytical technique for the synthesis of unequally spaced arrays with linear, planar, cylindrical or spherical geometry

By B. P. Kumar, G. Branner. IEEE Transactions on Antennas and Propagation, 2005

189 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/5d794e38cd7dc55f20f01d02d9473bd6e8a42196

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In Aerospace Engineering

In Electrical and Electronic Engineering

Citations in the corpus

Fast Pencil Beam Pattern Synthesis of Large Unequally Spaced Antenna Arrays (2013, methodology): “In recent literature, several novel algorithms were developed to optimize the element positions and excitations of nonuniform arrays to improve pattern performance [1]–[3] and reduce the computational cost [4]–[6] or obtain a given pattern”
Minimum Sidelobe Levels for Linear Arrays (2007, methodology): “An analytical method of choosing a linear array geometry for a given set of weights is presented in [5]; the method was also extended to circular and spherical arrays [6].”
Linear Aperiodic Array Synthesis Using an Improved Genetic Algorithm (2012, methodology): “Although the SA based method [20] has high performance in array pattern synthesis, it is possible that sparse arrays with continuously spaced sensors could have a high degree of freedoms in lowering the sidelobe level [14], [15], [17].”
Bayesian Compressive Sampling for Pattern Synthesis With Maximally Sparse Non-Uniform Linear Arrays (2011, methodology): “On the contrary, Problem II has received less attention and few methods have been developed [2], [3], [13], [14], [19]–[21], [23], [26].”
Reducing the Number of Elements in a Linear Antenna Array by the Matrix Pencil Method (2008, methodology): “These techniques include optimization algorithms (such as dynamic programming [4], genetic algorithm (GA) [5], differential evolution algorithm (DEA) [6] and particle swarm optimization (PSO) method [7]), analytical methods [8], [9] and other synthesis techniques [10]–[13], and so on.”
Unconventional Phased Array Architectures and Design Methodologies—A Review (2016, methodology): “Further design methodologies based on a recursive inversion algorithm exploiting the Legendre transform [71], global stochastic optimization strategies based on the simulated annealing [72], or a generalized Gaussian quadrature approach [73] have been successively proposed.”