A Moving Source Localization Method for Distributed Passive Sensor Using TDOA and FDOA Measurements
The conventional moving source localization methods are based on centralized sensors. This paper presents a moving source localization method for distributed passive sensors using TDOA and FDOA measurements. The novel method firstly uses the steepest descent algorithm to obtain a proper initial valu...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2016/8625039 |
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| author | Zhixin Liu Yongjun Zhao Dexiu Hu Chengcheng Liu |
| author_facet | Zhixin Liu Yongjun Zhao Dexiu Hu Chengcheng Liu |
| author_sort | Zhixin Liu |
| collection | DOAJ |
| description | The conventional moving source localization methods are based on centralized sensors. This paper presents a moving source localization method for distributed passive sensors using TDOA and FDOA measurements. The novel method firstly uses the steepest descent algorithm to obtain a proper initial value of source position and velocity. Then, the coarse location estimation is obtained by maximum likelihood estimation (MLE). Finally, more accurate location estimation is achieved by subtracting theoretical bias, which is approximated by the actual bias using the estimated source location and noisy data measurement. Both theoretical analysis and simulations show that the theoretical bias always meets the actual bias when the noise level is small, and the proposed method can reduce the bias effectively while keeping the same root mean square error (RMSE) with the original MLE and Taylor-series method. Meanwhile, it is less sensitive to the initial guess and attains the CRLB under Gaussian TDOA and FDOA noise at a moderate noise level before the thresholding effect occurs. |
| format | Article |
| id | doaj-art-135ae9f9fdc648b2bb4a45aea5f65e6f |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-135ae9f9fdc648b2bb4a45aea5f65e6f2025-02-03T05:50:09ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772016-01-01201610.1155/2016/86250398625039A Moving Source Localization Method for Distributed Passive Sensor Using TDOA and FDOA MeasurementsZhixin Liu0Yongjun Zhao1Dexiu Hu2Chengcheng Liu3Zhengzhou Institute of Information Science and Technology, Zhengzhou, Henan 86-450002, ChinaZhengzhou Institute of Information Science and Technology, Zhengzhou, Henan 86-450002, ChinaZhengzhou Institute of Information Science and Technology, Zhengzhou, Henan 86-450002, ChinaZhengzhou Institute of Information Science and Technology, Zhengzhou, Henan 86-450002, ChinaThe conventional moving source localization methods are based on centralized sensors. This paper presents a moving source localization method for distributed passive sensors using TDOA and FDOA measurements. The novel method firstly uses the steepest descent algorithm to obtain a proper initial value of source position and velocity. Then, the coarse location estimation is obtained by maximum likelihood estimation (MLE). Finally, more accurate location estimation is achieved by subtracting theoretical bias, which is approximated by the actual bias using the estimated source location and noisy data measurement. Both theoretical analysis and simulations show that the theoretical bias always meets the actual bias when the noise level is small, and the proposed method can reduce the bias effectively while keeping the same root mean square error (RMSE) with the original MLE and Taylor-series method. Meanwhile, it is less sensitive to the initial guess and attains the CRLB under Gaussian TDOA and FDOA noise at a moderate noise level before the thresholding effect occurs.http://dx.doi.org/10.1155/2016/8625039 |
| spellingShingle | Zhixin Liu Yongjun Zhao Dexiu Hu Chengcheng Liu A Moving Source Localization Method for Distributed Passive Sensor Using TDOA and FDOA Measurements International Journal of Antennas and Propagation |
| title | A Moving Source Localization Method for Distributed Passive Sensor Using TDOA and FDOA Measurements |
| title_full | A Moving Source Localization Method for Distributed Passive Sensor Using TDOA and FDOA Measurements |
| title_fullStr | A Moving Source Localization Method for Distributed Passive Sensor Using TDOA and FDOA Measurements |
| title_full_unstemmed | A Moving Source Localization Method for Distributed Passive Sensor Using TDOA and FDOA Measurements |
| title_short | A Moving Source Localization Method for Distributed Passive Sensor Using TDOA and FDOA Measurements |
| title_sort | moving source localization method for distributed passive sensor using tdoa and fdoa measurements |
| url | http://dx.doi.org/10.1155/2016/8625039 |
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