Channel estimation with interference cancellation for a MIMO receiver using iterative equalization and decoding
This paper proposes a novel channel estimation method for iterative equalization in MIMO systems. The proposed method incorporates co-channel interference (CCI) cancellation in the channel estimator and the channel estimation is successively performed with respect to each stream. Accuracy of channel...
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Published in: | 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications pp. 1 - 5 |
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Format: | Conference Proceeding |
Language: | English |
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01-09-2008
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Abstract | This paper proposes a novel channel estimation method for iterative equalization in MIMO systems. The proposed method incorporates co-channel interference (CCI) cancellation in the channel estimator and the channel estimation is successively performed with respect to each stream. Accuracy of channel estimation holds the key to be successfully converged the iterative equalization and decoding process. Although the channel estimates can be re-estimated by means of LS (Least Square) channel estimation using tentative decisions obtained in the iterative process, its performance is severely limited in a MIMO system because of erroneous decisions and ill-conditioned channel estimation matrix. The proposed method can suppress the above effects by means of CCI cancellation and successive channel estimation. Computer simulation confirms that the proposed channel estimation method can accurately estimate the channel, and the receiver with iterative equalization and the proposed method achieves excellent decoding performance in a MIMO-SM (Spatial Multiplexing) system. |
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AbstractList | This paper proposes a novel channel estimation method for iterative equalization in MIMO systems. The proposed method incorporates co-channel interference (CCI) cancellation in the channel estimator and the channel estimation is successively performed with respect to each stream. Accuracy of channel estimation holds the key to be successfully converged the iterative equalization and decoding process. Although the channel estimates can be re-estimated by means of LS (Least Square) channel estimation using tentative decisions obtained in the iterative process, its performance is severely limited in a MIMO system because of erroneous decisions and ill-conditioned channel estimation matrix. The proposed method can suppress the above effects by means of CCI cancellation and successive channel estimation. Computer simulation confirms that the proposed channel estimation method can accurately estimate the channel, and the receiver with iterative equalization and the proposed method achieves excellent decoding performance in a MIMO-SM (Spatial Multiplexing) system. |
Author | Okazaki, A. Kubo, H. Higashinaka, M. |
Author_xml | – sequence: 1 givenname: M. surname: Higashinaka fullname: Higashinaka, M. organization: Inf. Technol. R&D Center, Mitsubishi Electr. Corp., Kamakura – sequence: 2 givenname: H. surname: Kubo fullname: Kubo, H. organization: Inf. Technol. R&D Center, Mitsubishi Electr. Corp., Kamakura – sequence: 3 givenname: A. surname: Okazaki fullname: Okazaki, A. organization: Mitsubishi Electr. ITE-TCL, Rennes |
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Snippet | This paper proposes a novel channel estimation method for iterative equalization in MIMO systems. The proposed method incorporates co-channel interference... |
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SubjectTerms | Channel estimation Interchannel interference Interference cancellation Iterative decoding Iterative methods MIMO Radiofrequency interference Receiving antennas Transmitters Transmitting antennas |
Title | Channel estimation with interference cancellation for a MIMO receiver using iterative equalization and decoding |
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