A Localization Method for Multistatic SAR Based on Convex Optimization.
In traditional localization methods for Synthetic Aperture Radar (SAR), the bistatic range sum (BRS) estimation and Doppler centroid estimation (DCE) are needed for the calculation of target localization. However, the DCE error greatly influences the localization accuracy. In this paper, a localizat...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2015-01-01
|
| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4643902?pdf=render |
| _version_ | 1819051230516740096 |
|---|---|
| author | Xuqi Zhong Junjie Wu Jianyu Yang Zhichao Sun Yuling Huang Zhongyu Li |
| author_facet | Xuqi Zhong Junjie Wu Jianyu Yang Zhichao Sun Yuling Huang Zhongyu Li |
| author_sort | Xuqi Zhong |
| collection | DOAJ |
| description | In traditional localization methods for Synthetic Aperture Radar (SAR), the bistatic range sum (BRS) estimation and Doppler centroid estimation (DCE) are needed for the calculation of target localization. However, the DCE error greatly influences the localization accuracy. In this paper, a localization method for multistatic SAR based on convex optimization without DCE is investigated and the influence of BRS estimation error on localization accuracy is analysed. Firstly, by using the information of each transmitter and receiver (T/R) pair and the target in SAR image, the model functions of T/R pairs are constructed. Each model function's maximum is on the circumference of the ellipse which is the iso-range for its model function's T/R pair. Secondly, the target function whose maximum is located at the position of the target is obtained by adding all model functions. Thirdly, the target function is optimized based on gradient descent method to obtain the position of the target. During the iteration process, principal component analysis is implemented to guarantee the accuracy of the method and improve the computational efficiency. The proposed method only utilizes BRSs of a target in several focused images from multistatic SAR. Therefore, compared with traditional localization methods for SAR, the proposed method greatly improves the localization accuracy. The effectivity of the localization approach is validated by simulation experiment. |
| first_indexed | 2024-12-21T12:00:38Z |
| format | Article |
| id | doaj.art-67bc0f2adff74d0e8947bfddecf53022 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-21T12:00:38Z |
| publishDate | 2015-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-67bc0f2adff74d0e8947bfddecf530222022-12-21T19:04:49ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-011011e014247010.1371/journal.pone.0142470A Localization Method for Multistatic SAR Based on Convex Optimization.Xuqi ZhongJunjie WuJianyu YangZhichao SunYuling HuangZhongyu LiIn traditional localization methods for Synthetic Aperture Radar (SAR), the bistatic range sum (BRS) estimation and Doppler centroid estimation (DCE) are needed for the calculation of target localization. However, the DCE error greatly influences the localization accuracy. In this paper, a localization method for multistatic SAR based on convex optimization without DCE is investigated and the influence of BRS estimation error on localization accuracy is analysed. Firstly, by using the information of each transmitter and receiver (T/R) pair and the target in SAR image, the model functions of T/R pairs are constructed. Each model function's maximum is on the circumference of the ellipse which is the iso-range for its model function's T/R pair. Secondly, the target function whose maximum is located at the position of the target is obtained by adding all model functions. Thirdly, the target function is optimized based on gradient descent method to obtain the position of the target. During the iteration process, principal component analysis is implemented to guarantee the accuracy of the method and improve the computational efficiency. The proposed method only utilizes BRSs of a target in several focused images from multistatic SAR. Therefore, compared with traditional localization methods for SAR, the proposed method greatly improves the localization accuracy. The effectivity of the localization approach is validated by simulation experiment.http://europepmc.org/articles/PMC4643902?pdf=render |
| spellingShingle | Xuqi Zhong Junjie Wu Jianyu Yang Zhichao Sun Yuling Huang Zhongyu Li A Localization Method for Multistatic SAR Based on Convex Optimization. PLoS ONE |
| title | A Localization Method for Multistatic SAR Based on Convex Optimization. |
| title_full | A Localization Method for Multistatic SAR Based on Convex Optimization. |
| title_fullStr | A Localization Method for Multistatic SAR Based on Convex Optimization. |
| title_full_unstemmed | A Localization Method for Multistatic SAR Based on Convex Optimization. |
| title_short | A Localization Method for Multistatic SAR Based on Convex Optimization. |
| title_sort | localization method for multistatic sar based on convex optimization |
| url | http://europepmc.org/articles/PMC4643902?pdf=render |
| work_keys_str_mv | AT xuqizhong alocalizationmethodformultistaticsarbasedonconvexoptimization AT junjiewu alocalizationmethodformultistaticsarbasedonconvexoptimization AT jianyuyang alocalizationmethodformultistaticsarbasedonconvexoptimization AT zhichaosun alocalizationmethodformultistaticsarbasedonconvexoptimization AT yulinghuang alocalizationmethodformultistaticsarbasedonconvexoptimization AT zhongyuli alocalizationmethodformultistaticsarbasedonconvexoptimization AT xuqizhong localizationmethodformultistaticsarbasedonconvexoptimization AT junjiewu localizationmethodformultistaticsarbasedonconvexoptimization AT jianyuyang localizationmethodformultistaticsarbasedonconvexoptimization AT zhichaosun localizationmethodformultistaticsarbasedonconvexoptimization AT yulinghuang localizationmethodformultistaticsarbasedonconvexoptimization AT zhongyuli localizationmethodformultistaticsarbasedonconvexoptimization |