Iterative Joint Estimation Procedure of Channel and PDP for OFDM Systems
The power-delay profile (PDP) estimation of wireless channels is an important step to generate a channel correlation matrix for channel linear minimum mean square error (LMMSE) estimation. Estimated channel frequency response can be used to obtain time dispersion characteristics that can be exploite...
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MDPI AG
2022-11-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/24/11/1664 |
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| author | Ruixuan He Xiaoran Liu Kai Mei Guangwei Gong Jun Xiong Jibo Wei |
| author_facet | Ruixuan He Xiaoran Liu Kai Mei Guangwei Gong Jun Xiong Jibo Wei |
| author_sort | Ruixuan He |
| collection | DOAJ |
| description | The power-delay profile (PDP) estimation of wireless channels is an important step to generate a channel correlation matrix for channel linear minimum mean square error (LMMSE) estimation. Estimated channel frequency response can be used to obtain time dispersion characteristics that can be exploited by adaptive orthogonal frequency division multiplexing (OFDM) systems. In this paper, a joint estimator for PDP and LMMSE channel estimation is proposed. For LMMSE channel estimation, we apply a candidate set of frequency-domain channel correlation functions (CCF) and select the one that best matches the current channel to construct the channel correlation matrix. The initial candidate set is generated based on the traditional CCF calculation method for different scenarios. Then, the result of channel estimation is used as an input for the PDP estimation whereas the estimated PDP is further used to update the candidate channel correlation matrix. The enhancement of LMMSE channel estimation and PDP estimation can be achieved by the iterative joint estimation procedure. Analysis and simulation results show that in different communication scenarios, the PDP estimation error of the proposed method can approach the Cramér–Rao lower bound (CRLB) after a finite number of iterations. Moreover, the mean square error of channel estimation is close to the performance of accurate PDP-assisted LMMSE. |
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| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-09T18:20:37Z |
| publishDate | 2022-11-01 |
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| spelling | doaj.art-709bcc8e589140d78b0f9b48c3c5f2552023-11-24T08:18:50ZengMDPI AGEntropy1099-43002022-11-012411166410.3390/e24111664Iterative Joint Estimation Procedure of Channel and PDP for OFDM SystemsRuixuan He0Xiaoran Liu1Kai Mei2Guangwei Gong3Jun Xiong4Jibo Wei5College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, ChinaThe power-delay profile (PDP) estimation of wireless channels is an important step to generate a channel correlation matrix for channel linear minimum mean square error (LMMSE) estimation. Estimated channel frequency response can be used to obtain time dispersion characteristics that can be exploited by adaptive orthogonal frequency division multiplexing (OFDM) systems. In this paper, a joint estimator for PDP and LMMSE channel estimation is proposed. For LMMSE channel estimation, we apply a candidate set of frequency-domain channel correlation functions (CCF) and select the one that best matches the current channel to construct the channel correlation matrix. The initial candidate set is generated based on the traditional CCF calculation method for different scenarios. Then, the result of channel estimation is used as an input for the PDP estimation whereas the estimated PDP is further used to update the candidate channel correlation matrix. The enhancement of LMMSE channel estimation and PDP estimation can be achieved by the iterative joint estimation procedure. Analysis and simulation results show that in different communication scenarios, the PDP estimation error of the proposed method can approach the Cramér–Rao lower bound (CRLB) after a finite number of iterations. Moreover, the mean square error of channel estimation is close to the performance of accurate PDP-assisted LMMSE.https://www.mdpi.com/1099-4300/24/11/1664orthogonal frequency division multiplexingpower-delay profilelinear minimum mean square errorchannel estimation |
| spellingShingle | Ruixuan He Xiaoran Liu Kai Mei Guangwei Gong Jun Xiong Jibo Wei Iterative Joint Estimation Procedure of Channel and PDP for OFDM Systems Entropy orthogonal frequency division multiplexing power-delay profile linear minimum mean square error channel estimation |
| title | Iterative Joint Estimation Procedure of Channel and PDP for OFDM Systems |
| title_full | Iterative Joint Estimation Procedure of Channel and PDP for OFDM Systems |
| title_fullStr | Iterative Joint Estimation Procedure of Channel and PDP for OFDM Systems |
| title_full_unstemmed | Iterative Joint Estimation Procedure of Channel and PDP for OFDM Systems |
| title_short | Iterative Joint Estimation Procedure of Channel and PDP for OFDM Systems |
| title_sort | iterative joint estimation procedure of channel and pdp for ofdm systems |
| topic | orthogonal frequency division multiplexing power-delay profile linear minimum mean square error channel estimation |
| url | https://www.mdpi.com/1099-4300/24/11/1664 |
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