ABSTRACT
ABSTRACT
Separated subarrays is composed of divided arrays with small aperture, compared
with conventional array, it can form large-aperture array with small number of elements,
which can improve angle accuracy and resolution. However, according to space-domain
sampling law, the grating lobes exist in the pattern, and it will cause problems for target
detection and parameter estimation. This paper studies the basic features of separated
subarrays, and based on which the direction of arrival (DOA) estimation algorithm is
studied. The concrete content is as follows: (1) The array structure model of separated
subarrays composed of two subarrays is established, and the effect of array parameters
on array pattern, beam width, and array resolution is analyzed. (2) The grating lobe
features of separated subarrays are analyzed on the basis of array pattern, and grating
lobe features when array parameters are different are compared; for separated subarrays
composed of multiple subarrays, genetic algorithm is used to suppress the grating lobes.
(3) The MUSIC space spectrum feature of separated subarrays is studied, and the
relationship between the false peaks of MUSIC space spectrum and the grating lobes of
pattern is analyzed; and array parameter setting for separated subarrays is provided as
reference through the analysis of statistical property of the DOA estimation of separated
subarrays. (4) For the DOA estimation of interferometric array, a kind of preprocessing
MUSIC algorithm is proposed, and the effect of space spectrum false peaks on DOA
estimation is avoided by the proposed method on the basis of the analysis of grating
lobe features, so the disambiguation is realized. The computational complexity is
reduced since the search interval is shortened by the proposed method, and the angle
accuracy is improved compared to the dual-size ESPRIT algorithm.
Keywords: separated subarrays array pattern grating lobe direction of
arrival estimation disambiguation
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