Optimization of nonuniform array geometry for DOA estimation with the constraint on gross error probability

Date

2007-10-01

Author

Birinci, Toygar
Tanık, Yalçın

Metadata

Show full item record

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

Item Usage Stats

78
views

0
downloads

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 have been carried out under the assumptions of planar array geometry, isotropic array elements and AWGN. The genetic algorithm is used as an optimization tool and performance simulation is performed by comparing the DOA estimation errors of optimized array to uniform circular arrays (UCAs). Computer simulations support the theoretical analyses and show that the method proposed leads to a significant improvement in array geometry in terms of DOA estimation performance. Finally, the method is applied to an aircraft model and results are presented.

Subject Keywords

Array design, DOA estimation, Optimization, Genetic algorithm, CRB, Gross errors

URI

https://hdl.handle.net/11511/31310

Journal

SIGNAL PROCESSING

DOI

https://doi.org/10.1016/j.sigpro.2007.03.012

Collections

Graduate School of Natural and Applied Sciences, Article

Suggestions

OpenMETU
Core

Optimization of non-uniform planar array geometry for direction of arrival estimation Birinci, Toygar; Tanık, Yalçın; Department of Electrical and Electronics Engineering (2006) 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 offered. Theoretical analyses show that the minimization of this metric function leads to small DOA estimation error variance and small gross error probability. Analyses ...
Direction of arrival estimation for nonuniform linear arrays by using array interpolation Tuncer, Temel Engin; Friedlander, B. (2007-07-03) [1] A new approach is proposed for DOA estimation in nonuniform linear arrays (NLA) based on array interpolation. A Wiener formulation is presented to improve the condition number of the mapping matrix as well as the performance for noisy observations. Noniterative and iterative methods for DOA estimation are proposed. These methods use an initial DOA which is then significantly improved by the subsequent processing. Partially augmentable nonredundant arrays (PANA) and partly filled NLA (PFNLA) are consider...
Optimization of the array geometry for direction finding Özaydın, Seval; Koç, Seyit Sencer; Tanık, Yalçın; Department of Electrical and Electronics Engineering (2003) In this thesis, optimization of the geometry of non-uniform arrays for direction finding yielding unambiguous results is studied. A measure of similarity between the array response vectors is defined. In this measure, the effects of antenna array geometry, source placements and antenna gains are included as variable parameters. Then, assuming that the antenna gains are known and constant, constraints on the similarity function are developed and described to result in unambiguous configurations and maximum r...
Efficient and Accurate Electromagnetic Optimizations Based on Approximate Forms of the Multilevel Fast Multipole Algorithm Onol, Can; Karaosmanoglu, Bariscan; Ergül, Özgür Salih (2016-01-01) We present electromagnetic optimizations by heuristic algorithms supported by approximate forms of the multilevel fast multipole algorithm (MLFMA). Optimizations of complex structures, such as antennas, are performed by considering each trial as an electromagnetic problem that can be analyzed via MLFMA and its approximate forms. A dynamic accuracy control is utilized in order to increase the efficiency of optimizations. Specifically, in the proposed scheme, the accuracy is used as a parameter of the optimiz...
Layout optimization of trusses using simulated annealing Hasançebi, Oğuzhan (2000-09-08) This paper addresses to the development of a simulated annealing (SA) based solution algorithm which is automated to achieve the simultaneous optimum design of truss type structures with respect to size, shape and topology design variables. The proposed algorithm is designed in such a way that together with applicability to practical design problems, it is also aimed at producing efficient and improved design solutions for the problems of interest. From the practicality point of view, the task is chosen as ...

Citation Formats

T. Birinci and Y. Tanık, “Optimization of nonuniform array geometry for DOA estimation with the constraint on gross error probability,” SIGNAL PROCESSING, pp. 2360–2369, 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31310.