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IEEE Transactions on Signal Processing· 2015Q1

Generalized Coprime Array Configurations for Direction-of-Arrival Estimation

Si Qin, Yimin D. Zhang, Moeness G. Amin

Short summary

Generalized coprime arrays achieve higher degrees-of-freedom for direction-of-arrival (DOA) estimation by compressing element spacing or using displaced subarrays, allowing for larger minimum inter-element spacing.

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Key points

  • Generalized coprime arrays are proposed using element spacing compression or displaced subarrays.
  • These generalizations include existing coprime and nested array configurations as special cases.
  • The displaced subarray approach allows for a larger minimum inter-element spacing than the conventional half-wavelength.
  • Analytical expressions for coarray aperture, unique lags, and consecutive lags are derived for quantitative evaluation.

AI-generated from the title and abstract; the full text is not read.

Abstract

A coprime array uses two uniform linear subarrays to construct an effective difference coarray with certain desirable characteristics, such as a high number of degrees-of-freedom for direction-of-arrival (DOA) estimation. In this paper, we generalize the coprime array concept with two operations. The first operation is through the compression of the inter-element spacing of one subarray and the resulting structure treats the existing variations of coprime array configurations as well as the nested array structure as its special cases. The second operation exploits two displaced subarrays, and the resulting coprime array structure allows the minimum inter-element spacing to be much larger than the typical half-wavelength requirement, making them useful in applications where a small interelement spacing is infeasible. The performance of the generalized coarray structures is evaluated using their difference coarray equivalence. In particular, we derive the analytical expressions for the coarray aperture, the achievable number of unique lags, and the maximum number of consecutive lags for quantitative evaluation, comparison, and design of coprime arrays. The usefulness of these results is demonstrated using examples applied for DOA estimations utilizing both subspace-based and sparse signal reconstruction techniques.

The authors' abstract, as published at the source. IEEE Transactions on Signal Processing, 2015 · DOI ↗

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Field: Signal Processing

Signal ProcessingComputer Science