2005Journal of Taishan Medical CollegeRequires access

Application of semidefinite programming to near - field multiple source localization

Feng Zeng

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Abstract

Objective: To obtain the more accurate solution of the near - field multiple source localization Methods: An interior point method for nonlinear semidefinite programming was used. Results: The method was effective when the positive semidefinite of parameter matrix was guarante- ed. Conclusion: The result will be more accuarate.

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Objective: To obtain the more accurate solution of the near - field multiple source localization Methods: An interior point method for nonlinear semidefinite programming was used. Results: The method was effective when the positive semidefinite of parameter matrix was guarante- ed. Conclusion: The result will be more accuarate.

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Available abstract

Objective: To obtain the more accurate solution of the near - field multiple source localization Methods: An interior point method for nonlinear semidefinite programming was used. Results: The method was effective when the positive semidefinite of parameter matrix was guarante- ed. Conclusion: The result will be more accuarate.

Key concepts: Semidefinite programming, Interior point method, Semidefinite embedding, Field (mathematics), Matrix (chemical analysis), Point (geometry), Positive-definite matrix, Nonlinear programming

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