Subspace-Based Localization and Inverse Scattering of Multiply Scattering Point Targets
نویسندگان
چکیده
منابع مشابه
Subspace-Based Localization and Inverse Scattering of Multiply Scattering Point Targets
The nonlinear inverse scattering problem of estimating the locations and scattering strengths or reflectivities of a number of small, point-like inhomogeneities (targets) to a known background medium from single-snapshot active wave sensor array data is investigated in connection with time-reversal multiple signal classification and an alternative signal subspace method which is based on search...
متن کاملTime-reversal-based imaging and inverse scattering of multiply scattering point targets
The treatment of time-reversal imaging of multiply scattering point targets developed by the present authors in Gruber et al. [ " Time-reversal imaging with multiple signal classification considering multiple scattering between the targets, " J. 2004] is reformulated and extended to the estimation of the target scattering strengths using the Foldy-Lax multiple scattering model. It is shown that...
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In this work the inverse scattering problem of estimating the locations and scattering strengths of a number of multiply scattering point targets in the near or far field from single-snapshot active antenna array data is investigated with the aid of two signal subspace approaches: Time-reversal-based methods with an emphasis on time-reversal multiple signal classification (MUSIC) and a new sign...
متن کاملNoniterative analytical formula for inverse scattering of multiply scattering point targets.
This paper derives, in the exact framework of multiple scattering theory for point targets, a noniterative analytical formula for the nonlinear inversion of the target scattering strengths from the scattering or response matrix that can be applied after the target positions have been estimated in a previous step via, e.g., time-reversal multiple signal classification or another approach. The ne...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2006
ISSN: 1687-6180
DOI: 10.1155/2007/17342