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Dilated Arrays: A Family of Sparse Arrays With Increased Uniform Degrees of Freedom and Reduced Mutual Coupling on a Moving Platform
- Source :
- IEEE Transactions on Signal Processing. 69:3367-3382
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- Recently, dilated nested arrays have been proposed on a moving platform to increase the uniform degrees of freedom (uDOF) by a factor of three by exploiting array motion. However, no literature addresses the issue whether the same dilation method still performs well for other array geometries such as coprime arrays, augmented nested arrays and minimum redundancy arrays. Compared with nested arrays, these arrays either achieve higher uDOF or exhibit more robustness to mutual coupling among sensors. In this paper, we propose a novel sparse array geometry named dilated arrays (DAs) on a moving platform by applying the dilation method to other array geometries. First, by exploiting the relationship between the element positions in the difference coarrays of the original linear array and the synthetic array after motion, we prove that, for a DA on a moving platform, the maximum uDOF can be tripled compared to that of its original array regardless of the array geometry. Therefore, the number of sources that can be resolved for direction-of-arrival (DOA) estimation is increased threefold. Second, we prove that a DA reduces mutual coupling compared with its original array. As a result, the DA is more robust to mutual coupling than its original array. Third, we extend one-dimensional DAs to the two-dimensional (2-D) case, yielding a new 2-D sparse array geometry named two-parallel DAs. We show that by exploiting array motion, two-parallel DAs can increase the number of detectable sources threefold. Numerical simulations demonstrate the superior performance of the proposed array geometries.
- Subjects :
- Coupling
Coprime integers
Computer science
Motion (geometry)
020206 networking & telecommunications
02 engineering and technology
Degrees of freedom (mechanics)
Topology
Sparse array
Robustness (computer science)
Signal Processing
0202 electrical engineering, electronic engineering, information engineering
Redundancy (engineering)
Dilation (morphology)
Electrical and Electronic Engineering
Subjects
Details
- ISSN :
- 19410476 and 1053587X
- Volume :
- 69
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Signal Processing
- Accession number :
- edsair.doi...........231906039574dfda2aae9712a659c577