Optimization of element positions for direction finding with sparse arrays
Book chapter, 2007

Sparse arrays are attractive for direction-Of-Arrival (DOA) estimation since they can provideaccurate estimates at a low cost. A problem of great interest in this matter is to determinethe element positions that yield the best DOA estimation performance. A major difficulty with this problem is to define a suitable performance measure to optimize. In this paper, a novel criterion is proposed for optimizing element positions. The ambiguity threshold of the Weiss-Weinstein Bound (WWB) is used to optimize the element positionsof a sparse linear array. The array obtainedfrom the optimization is compared withsome other sparse arraystructuresthat have been proposed in the literature.

Sensor arrays

Signal to noise ratio

Direction of arrival estimation

Optimization

Estimation

Array signal processing

Finite element methods

Author

Fredrik Athley

Chalmers, Signals and Systems

Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking

545-548

Subject Categories

Computational Mathematics

Control Engineering

Signal Processing

DOI

10.1109/9780470544198.ch49

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1/8/2019 3