Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Enhanced Blind Calibration of Uniform Linear Arrays with One-Bit
  Quantization by Kullback-Leibler Divergence Covariance Fitting   One-bit quantization has recently become an attractive option for data
acquisition in cutting edge applications, due to the increasing demand for low
power and higher sampling rates. Subsequently, the rejuvenated one-bit array
processing field is now receiving more attention, as "classical" array
processing techniques are adapted / modified accordingly. However, array
calibration, often an instrumental preliminary stage in array processing, has
so far received little attention in its one-bit form. In this paper, we present
a novel solution approach for the blind calibration problem, namely, without
using known calibration signals. In order to extract information within the
second-order statistics of the quantized measurements, we propose to estimate
the unknown sensors' gains and phases offsets according to a Kullback-Leibler
Divergence (KLD) covariance fitting criterion. We then provide a quasi-Newton
solution algorithm, with a consistent initial estimate, and demonstrate the
improved accuracy of our KLD-based estimates in simulations.

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The categories of this paper are: q-bio
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The categories of this paper are: acc-phys
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The categories of this paper are: astro-ph
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The categories of this paper are: stat
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The categories of this paper are: funct-an
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The categories of this paper are: nlin
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The categories of this paper are: alg-geom
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The categories of this paper are: q-fin
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The categories of this paper are: hep-ph
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The categories of this paper are: adap-org
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The categories of this paper are: gr-qc
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The categories of this paper are: plasm-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: atom-ph
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The categories of this paper are: solv-int
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The categories of this paper are: ao-sci