Doppler Spread Estimation in MIMO Frequency-Selective Fading Channels
One of the main challenges in high-speed mobile communications is the presence of large Doppler spreads. Thus, accurate estimation of maximum Doppler spread (MDS) plays an important role in improving the performance of the communication link. In this paper, we derive the data-aided (DA) and non-data...
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| Format: | Article |
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Institute of Electrical and Electronics Engineers (IEEE)
2018
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| Online Access: | http://hdl.handle.net/1721.1/116436 https://orcid.org/0000-0002-8573-0488 |
| _version_ | 1826192347831992320 |
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| author | Mohammadkarimi, Mostafa Karami, Ebrahim Dobre, Octavia A. Win, Moe Z |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Mohammadkarimi, Mostafa Karami, Ebrahim Dobre, Octavia A. Win, Moe Z |
| author_sort | Mohammadkarimi, Mostafa |
| collection | MIT |
| description | One of the main challenges in high-speed mobile communications is the presence of large Doppler spreads. Thus, accurate estimation of maximum Doppler spread (MDS) plays an important role in improving the performance of the communication link. In this paper, we derive the data-aided (DA) and non-data-aided (NDA) Cramér-Rao lower bounds (CRLBs) and maximum likelihood estimators (MLEs) for the MDS in multiple-input multiple-output (MIMO) frequency-selective fading channel. Moreover, a low-complexity NDA-moment-based estimator (MBE) is proposed. The proposed NDA-MBE relies on the second- and fourth-order moments of the received signal, which are employed to estimate the normalized squared autocorrelation function of the fading channel. Then, the problem of MDS estimation is formulated as a non-linear regression problem, and the least-squares curve-fitting optimization technique is applied to determine the estimate of the MDS. This is the first time in the literature, when DA- and NDA-MDS estimation is investigated for MIMO frequency-selective fading channel. Simulation results show that there is no significant performance gap between the derived NDA-MLE and NDA-CRLB, even when the observation window is relatively small. Furthermore, the significant reduced-complexity in the NDA-MBE leads to low root-mean-square error over a wide range of MDSs, when the observation window is selected large enough. |
| first_indexed | 2024-09-23T09:10:23Z |
| format | Article |
| id | mit-1721.1/116436 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T09:10:23Z |
| publishDate | 2018 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1164362022-09-30T13:56:19Z Doppler Spread Estimation in MIMO Frequency-Selective Fading Channels Mohammadkarimi, Mostafa Karami, Ebrahim Dobre, Octavia A. Win, Moe Z Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Massachusetts Institute of Technology. Laboratory for Information and Decision Systems Win, Moe Z One of the main challenges in high-speed mobile communications is the presence of large Doppler spreads. Thus, accurate estimation of maximum Doppler spread (MDS) plays an important role in improving the performance of the communication link. In this paper, we derive the data-aided (DA) and non-data-aided (NDA) Cramér-Rao lower bounds (CRLBs) and maximum likelihood estimators (MLEs) for the MDS in multiple-input multiple-output (MIMO) frequency-selective fading channel. Moreover, a low-complexity NDA-moment-based estimator (MBE) is proposed. The proposed NDA-MBE relies on the second- and fourth-order moments of the received signal, which are employed to estimate the normalized squared autocorrelation function of the fading channel. Then, the problem of MDS estimation is formulated as a non-linear regression problem, and the least-squares curve-fitting optimization technique is applied to determine the estimate of the MDS. This is the first time in the literature, when DA- and NDA-MDS estimation is investigated for MIMO frequency-selective fading channel. Simulation results show that there is no significant performance gap between the derived NDA-MLE and NDA-CRLB, even when the observation window is relatively small. Furthermore, the significant reduced-complexity in the NDA-MBE leads to low root-mean-square error over a wide range of MDSs, when the observation window is selected large enough. 2018-06-19T19:37:12Z 2018-06-19T19:37:12Z 2017-12 2018-04-18T13:09:20Z Article http://purl.org/eprint/type/JournalArticle 1536-1276 http://hdl.handle.net/1721.1/116436 Mohammadkarimi, Mostafa, et al. “Doppler Spread Estimation in MIMO Frequency-Selective Fading Channels.” IEEE Transactions on Wireless Communications, vol. 17, no. 3, Mar. 2018, pp. 1951–65. https://orcid.org/0000-0002-8573-0488 http://dx.doi.org/10.1109/TWC.2017.2787539 IEEE Transactions on Wireless Communications Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) arXiv |
| spellingShingle | Mohammadkarimi, Mostafa Karami, Ebrahim Dobre, Octavia A. Win, Moe Z Doppler Spread Estimation in MIMO Frequency-Selective Fading Channels |
| title | Doppler Spread Estimation in MIMO Frequency-Selective Fading Channels |
| title_full | Doppler Spread Estimation in MIMO Frequency-Selective Fading Channels |
| title_fullStr | Doppler Spread Estimation in MIMO Frequency-Selective Fading Channels |
| title_full_unstemmed | Doppler Spread Estimation in MIMO Frequency-Selective Fading Channels |
| title_short | Doppler Spread Estimation in MIMO Frequency-Selective Fading Channels |
| title_sort | doppler spread estimation in mimo frequency selective fading channels |
| url | http://hdl.handle.net/1721.1/116436 https://orcid.org/0000-0002-8573-0488 |
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