Multiple Signal TDOA/FDOA Joint Estimation with Coherent Integration
Passive localization relies significantly on the estimation of the Time Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA) to accurately determine the location of a target. The precision of TDOA and FDOA estimation is affected by signal parameters of time and frequency distribut...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/12/9/2151 |
| _version_ | 1797602754879815680 |
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| author | Xinxin Ouyang Shanfeng Yao Qun Wan |
| author_facet | Xinxin Ouyang Shanfeng Yao Qun Wan |
| author_sort | Xinxin Ouyang |
| collection | DOAJ |
| description | Passive localization relies significantly on the estimation of the Time Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA) to accurately determine the location of a target. The precision of TDOA and FDOA estimation is affected by signal parameters of time and frequency distribution. In case of multiple signals arising at different frequency bands and intercepted simultaneously by spatially separate sensors covering a wide frequency band, the traditional method is first to separate the signals from the mixed wideband signal through digital down conversion (DDC), which brings multiple narrowband signals, and then the estimation of TDOA and FDOA of each narrowband signal can be performed using cross ambiguity function (CAF). The paper introduces a novel approach for estimating TDOA and FDOA of multiple signals simultaneously, which employs a coherent integration method. First, the cross ambiguity function for each signal is realized with the narrowband signal as the same as the traditional method. Next, the phase relation of each CAF is analyzed, then the joint CAF can be obtained with phase compensation, from which multiple signal TDOA and FDOA estimations will be implemented simultaneously. Numerical simulations are performed to compare the two methods, and the results demonstrate the superiority of the proposed algorithm. |
| first_indexed | 2024-03-11T04:20:04Z |
| format | Article |
| id | doaj.art-5da8dcbb0b124234a580ca64dced93c9 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T04:20:04Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-5da8dcbb0b124234a580ca64dced93c92023-11-17T22:49:21ZengMDPI AGElectronics2079-92922023-05-01129215110.3390/electronics12092151Multiple Signal TDOA/FDOA Joint Estimation with Coherent IntegrationXinxin Ouyang0Shanfeng Yao1Qun Wan2National Key Laboratory of Science and Technology on Blind Signal Processing, Chengdu 610041, ChinaNational Key Laboratory of Science and Technology on Blind Signal Processing, Chengdu 610041, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaPassive localization relies significantly on the estimation of the Time Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA) to accurately determine the location of a target. The precision of TDOA and FDOA estimation is affected by signal parameters of time and frequency distribution. In case of multiple signals arising at different frequency bands and intercepted simultaneously by spatially separate sensors covering a wide frequency band, the traditional method is first to separate the signals from the mixed wideband signal through digital down conversion (DDC), which brings multiple narrowband signals, and then the estimation of TDOA and FDOA of each narrowband signal can be performed using cross ambiguity function (CAF). The paper introduces a novel approach for estimating TDOA and FDOA of multiple signals simultaneously, which employs a coherent integration method. First, the cross ambiguity function for each signal is realized with the narrowband signal as the same as the traditional method. Next, the phase relation of each CAF is analyzed, then the joint CAF can be obtained with phase compensation, from which multiple signal TDOA and FDOA estimations will be implemented simultaneously. Numerical simulations are performed to compare the two methods, and the results demonstrate the superiority of the proposed algorithm.https://www.mdpi.com/2079-9292/12/9/2151TDOA estimationFDOA estimationpassive localizationmultiple signalcoherent integration |
| spellingShingle | Xinxin Ouyang Shanfeng Yao Qun Wan Multiple Signal TDOA/FDOA Joint Estimation with Coherent Integration Electronics TDOA estimation FDOA estimation passive localization multiple signal coherent integration |
| title | Multiple Signal TDOA/FDOA Joint Estimation with Coherent Integration |
| title_full | Multiple Signal TDOA/FDOA Joint Estimation with Coherent Integration |
| title_fullStr | Multiple Signal TDOA/FDOA Joint Estimation with Coherent Integration |
| title_full_unstemmed | Multiple Signal TDOA/FDOA Joint Estimation with Coherent Integration |
| title_short | Multiple Signal TDOA/FDOA Joint Estimation with Coherent Integration |
| title_sort | multiple signal tdoa fdoa joint estimation with coherent integration |
| topic | TDOA estimation FDOA estimation passive localization multiple signal coherent integration |
| url | https://www.mdpi.com/2079-9292/12/9/2151 |
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