Frequency Synchronization Algorithms for MIMO-OFDM Systems with Periodic Preambles
This paper addresses the problem of frequency synchronization in multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems with periodic preambles. Two Maximum Likelihood Estimators (MLEs) and four low complexity Best Linear Unbiased Estimators (BLUEs) are propo...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2014-05-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/740906 |
| _version_ | 1797706372057399296 |
|---|---|
| author | Jian Sun Fudong Li Cheng-Xiang Wang Xuemin Hong Dongfeng Yuan |
| author_facet | Jian Sun Fudong Li Cheng-Xiang Wang Xuemin Hong Dongfeng Yuan |
| author_sort | Jian Sun |
| collection | DOAJ |
| description | This paper addresses the problem of frequency synchronization in multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems with periodic preambles. Two Maximum Likelihood Estimators (MLEs) and four low complexity Best Linear Unbiased Estimators (BLUEs) are proposed. When cyclic shift delay is applied to periodic preambles, MLEs can adopt a unique structure which employs diversity and correlation calculation in the estimator. We first propose a multiple-antenna estimator named as MLE-MA, which has an estimation range of the entire signal bandwidth. MLE-MAS is a simplified version of MLE-MA, which reduces the computational load at the cost of a narrower estimation range. Moreover, phases or differential phases obtained from the autocorrelation of periodic sequences with different delays can be used to estimate carrier frequency offset (CFO). The weighting coefficients of all BLUEs are derived in closed form and shown to be independent from the signal-to-noise ratio (SNR). BLUEs have asymptotically consistent variances. Theoretical and simulation results demonstrate that all estimators can asymptotically approach the theoretical Cramer Rao Lower bound (CRLB) at different SNRs. |
| first_indexed | 2024-03-12T05:50:15Z |
| format | Article |
| id | doaj.art-2b4adca7897e4eac84292135f9905f20 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T05:50:15Z |
| publishDate | 2014-05-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-2b4adca7897e4eac84292135f9905f202023-09-03T05:08:44ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772014-05-011010.1155/2014/740906740906Frequency Synchronization Algorithms for MIMO-OFDM Systems with Periodic PreamblesJian Sun0Fudong Li1Cheng-Xiang Wang2Xuemin Hong3Dongfeng Yuan4 School of Information Science and Engineering, Shandong University, 250100 Jinan, Shandong, China School of Information Science and Engineering, Shandong University, 250100 Jinan, Shandong, China School of Engineering & Physical Sciences, Heriot-Watt University, Edinburgh, EH144AS, UK School of Information Science and Technology, Xiamen University, 361005 Xiamen, Fujian, China School of Information Science and Engineering, Shandong University, 250100 Jinan, Shandong, ChinaThis paper addresses the problem of frequency synchronization in multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems with periodic preambles. Two Maximum Likelihood Estimators (MLEs) and four low complexity Best Linear Unbiased Estimators (BLUEs) are proposed. When cyclic shift delay is applied to periodic preambles, MLEs can adopt a unique structure which employs diversity and correlation calculation in the estimator. We first propose a multiple-antenna estimator named as MLE-MA, which has an estimation range of the entire signal bandwidth. MLE-MAS is a simplified version of MLE-MA, which reduces the computational load at the cost of a narrower estimation range. Moreover, phases or differential phases obtained from the autocorrelation of periodic sequences with different delays can be used to estimate carrier frequency offset (CFO). The weighting coefficients of all BLUEs are derived in closed form and shown to be independent from the signal-to-noise ratio (SNR). BLUEs have asymptotically consistent variances. Theoretical and simulation results demonstrate that all estimators can asymptotically approach the theoretical Cramer Rao Lower bound (CRLB) at different SNRs.https://doi.org/10.1155/2014/740906 |
| spellingShingle | Jian Sun Fudong Li Cheng-Xiang Wang Xuemin Hong Dongfeng Yuan Frequency Synchronization Algorithms for MIMO-OFDM Systems with Periodic Preambles International Journal of Distributed Sensor Networks |
| title | Frequency Synchronization Algorithms for MIMO-OFDM Systems with Periodic Preambles |
| title_full | Frequency Synchronization Algorithms for MIMO-OFDM Systems with Periodic Preambles |
| title_fullStr | Frequency Synchronization Algorithms for MIMO-OFDM Systems with Periodic Preambles |
| title_full_unstemmed | Frequency Synchronization Algorithms for MIMO-OFDM Systems with Periodic Preambles |
| title_short | Frequency Synchronization Algorithms for MIMO-OFDM Systems with Periodic Preambles |
| title_sort | frequency synchronization algorithms for mimo ofdm systems with periodic preambles |
| url | https://doi.org/10.1155/2014/740906 |
| work_keys_str_mv | AT jiansun frequencysynchronizationalgorithmsformimoofdmsystemswithperiodicpreambles AT fudongli frequencysynchronizationalgorithmsformimoofdmsystemswithperiodicpreambles AT chengxiangwang frequencysynchronizationalgorithmsformimoofdmsystemswithperiodicpreambles AT xueminhong frequencysynchronizationalgorithmsformimoofdmsystemswithperiodicpreambles AT dongfengyuan frequencysynchronizationalgorithmsformimoofdmsystemswithperiodicpreambles |