Study of multiple frequency-offset and channel joint ML estimation over virtual multi-antennas OFDM system
A pilot-aided joint estimation of the carrier frequency offsets（CFO） and channels of a virtual multi-anten-nas（VMA） orthogonal frequency-division multiple（OFDM） system was considered.For a VMA-OFDM system,each pair of transmit and receive antennas possibly having a different CFO and CIR（channel impu...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2010-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74648331/ |
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| Summary: | A pilot-aided joint estimation of the carrier frequency offsets（CFO） and channels of a virtual multi-anten-nas（VMA） orthogonal frequency-division multiple（OFDM） system was considered.For a VMA-OFDM system,each pair of transmit and receive antennas possibly having a different CFO and CIR（channel impulse response） parameters made the parameters joint estimation a challenge task.By utilizing the series expansion of the matrix inversion and maximum likelihood（ML） criterion,a computationally efficient estimator allowing for simultaneously estimating the unknown pa-rameters was developed.The mean square-error（MSE） performance of the interested parameters for the proposed estima-tor was compared with the Cramer-Rao bound（CRB）.In addition,the pilot sequence design was investigated by analysis and simulations.Simulation results show that the proposed low-complexity estimator asymptotically achieves the CRB and overcomes the drawbacks of existing estimators. |
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| ISSN: | 1000-436X |