A Hybrid Nonlinear Method for Array Thinning

Date

2018-05-01

Author

Epcacan, Erdal
Çiloğlu, Tolga

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

200
views

0
downloads

A nonlinear method for array thinning is proposed. The method is based on hybrid usage of genetic algorithm (GA) and nonlinear apodization. The method proposes a special layout, which consists of two subarrays. Layout and weights for the subarray having larger aperture are designed by GA. Layout and weights for the second subarray are determined according to results of the aforementioned design. Dual apodization is applied to the outputs of the subarrays to obtain the output. Results show that there is an improvement in peak side-lobe level, beam width, and current taper ratio for particular test problems in the literature.

Subject Keywords

Array thinning; , Nonlinear apodization, Linear arrays, Genetic algorithm (GA)

URI

https://hdl.handle.net/11511/33338

Journal

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION

DOI

https://doi.org/10.1109/tap.2018.2809500

Collections

Department of Electrical and Electronics Engineering, Article

Suggestions

OpenMETU
Core

A probabilistic multiple criteria sorting approach based on distance functions ÇELİK, BİLGE; Karasakal, Esra; İyigün, Cem (2015-05-01) In this paper, a new probabilistic distance based sorting (PDIS) method is developed for multiple criteria sorting problems. The distance to the ideal point is used as a criteria disaggregation function to determine the values of alternatives. These values are used to sort alternatives into the predefined classes. The method also calculates probabilities that each alternative belong to the predefined classes in order to handle alternative optimal solutions. It is applied to five data sets and its performanc...
Optimization of nonuniform array geometry for DOA estimation with the constraint on gross error probability Birinci, Toygar; Tanık, Yalçın (2007-10-01) In this work, a novel method is proposed to optimize the array geometry for DOA estimation. The method is based on minimization of fine error variances with the constraint that the gross error probability is below a certain threshold. For this purpose, a metric function that reflects the gross and fine error characteristics of the array is proposed. Theoretical analyses show that the minimization of this metric function leads to small DOA estimation error variance and small gross error probability. Analyses...
A NOVEL PARTITIONING METHOD FOR ACCELERATING THE BLOCK CIMMINO ALGORITHM Torun, F. Sukru; Manguoğlu, Murat; Aykanat, Cevdet (2018-01-01) We propose a novel block-row partitioning method in order to improve the convergence rate of the block Cimmino algorithm for solving general sparse linear systems of equations. The convergence rate of the block Cimmino algorithm depends on the orthogonality among the block rows obtained by the partitioning method. The proposed method takes numerical orthogonality among block rows into account by proposing a row inner-product graph model of the coefficient matrix. In the graph partitioning formulation define...
A Fast and Automatically Paired 2-Dimensional Direction-of-Arrival Estimation Using Arbitrary Array Geometry Filik, T.; Tuncer, Temel Engin (2009-04-11) A new approach is proposed for two-dimensional (2-D) direction-of-arrival (DOA) estimation with arbitrary array geometries, which is based on array interpolation. The method provides automatically paired source azimuth and elevation angle estimates. Furthermore it is possible to estimate D sources with D + 1 sensor 2-D array interpolation errors are minimized by using Wiener formulation. Proposed method is applied to the two planar arrays; uniform circular array (UCA) and uniform isotropic (IU) V-shaped arr...
A categorical approach to the maximum theorem Koudenburg, Seerp Roald (2018-08-01) Berge's maximum theorem gives conditions ensuring the continuity of an optimised function as a parameter changes. In this paper we state and prove the maximum theorem in terms of the theory of monoidal topology and the theory of double categories.

Citation Formats

E. Epcacan and T. Çiloğlu, “A Hybrid Nonlinear Method for Array Thinning,” IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, pp. 2318–2325, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/33338.