Maximally sparsen arrays via continuous compressive sensing

An innovative technique for the synthesis of a nonuniform sonar array with as few elements as possible is proposed. This paper introduces a new method for linear array pattern synthesis based on continuous compressive sensing (CCS). Given a reference pattern subject to aperture constraints, the prop...

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Vydáno v:OCEANS 2016 - Shanghai s. 1 - 4
Hlavní autoři: Jincheng Lin, Xiaochuan Ma, Chengpeng Hao, Min Wang
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.04.2016
Témata:
Apertures
Array design
Array signal processing
Compressed sensing
continuous compressive sensing
pattern synthesis
Sensor arrays
Signal resolution
Sonar
sparse nonuniform linear array
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Shrnutí:An innovative technique for the synthesis of a nonuniform sonar array with as few elements as possible is proposed. This paper introduces a new method for linear array pattern synthesis based on continuous compressive sensing (CCS). Given a reference pattern subject to aperture constraints, the proposed approach allows the exact solution of the positions of sonar sensors, whose number is maximally reduced. The excitations and positions of sensors are exactly estimated without constraints of sampling grids used in convetional CS methods. Numerical experiments show that the proposed synthesis method is able to maximally save array elements for the design of sparse linear arrays, also compared to state-of-the-art sparse array synthesis methods.
DOI:10.1109/OCEANSAP.2016.7485339