Adaptive Array Processing for Sensor Fields with Arbitrary Geometry

I.J. Korshever (Russia)


array signal processing; adaptive spatial filtering.


This work is addressed to design of adaptive beam formers for large sensor fields of arbitrary geometry with randomly spaced sensor transceivers. Primarily the sensor surface is reduced to canonical form, meaning accumulat ing of partial beampatterns in nodes of approximating grid. Then the problem of choice of proper approximat ing surface is discussed with aim to simplify the latest procedure of the synthesis of global beampattern. Finally the possible global optimization aproaches are discussed with emphasis of factors caused to structure of cross spectral density matrix (CSDM) by submitted representa tion of sensor surface. While this work is adressed to sonar applicatons, it may be regarded relatively to any other acoustic areas such as industrial acoustic and speech or audio process ing.

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