Application of semidefinite programming to near - field multiple source localization
Feng Zeng
Abstract
Feng Zeng
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.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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