Comparisons of the Super-resolution TOA/TDOA Estimation Algorithms
In order to separate signals from different sources while estimating time of arrival (TOA), the super-resolution technique in range/time domain is desirable in the scenario of multi-target with high density or in the presence of strong multipath, due to the limitation on the bandwidth. In this paper...
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| المؤلفون الرئيسيون: | , , |
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| مؤلفون آخرون: | |
| التنسيق: | Conference or Workshop Item |
| اللغة: | English |
| منشور في: |
2018
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://hdl.handle.net/10356/89153 http://hdl.handle.net/10220/44834 |
| الوسوم: |
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| الملخص: | In order to separate signals from different sources while estimating time of arrival (TOA), the super-resolution technique in range/time domain is desirable in the scenario of multi-target with high density or in the presence of strong multipath, due to the limitation on the bandwidth. In this paper, we provide an overview of several existing range super-resolution algorithms, including the adaptive regularization least squares (APLS) method, the inverse filter (IF), the iterative adaptive approach (IAA), the multiple signal classification (MUSIC) algorithm using cross correlation (MUSIC-CC), and the MUSIC algorithm based on channel response (MUSIC-CR). Both numerical data and trial data transmitted and received by the universal software radio peripheral (USRP) are used to compare their performance. |
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