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A New Multiuser Detector for Synchronous CDMA Systems in AWGN Channels

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Wireless Personal Communications

Part of the book series: The International Series in Engineering and Computer Science ((SECS,volume 536))

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Abstract

The decorrelating decision-feedback (DDF) multiuser detector based on Cholesky factorization has been proven to improve the performance of the users in the detection process. For relatively low crosscorrelation values between user signals this detector performs quite well. The detector described in this paper employs two triangular matrices (upper and lower) and soft output information to improve the data estimates over the DDF detector. Significant performance gains can be achieved over the DDF. Also, the users tend to have their bit error probabilities clustered. Thus, the performance of a certain user is less dependent on its position in the detection process than for the DDF.

This research was supported by the Office of Naval Research under contract N00014-920-J0176 UP00004

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References

  1. R. Lupas and S. Verdu, “Linear multiuser detectors for synchronous CDMA channels,” IEEE Trans. on Info. Theory, vol. 35, pp. 123–136, Jan. 1989

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  2. A. Duel-Hallen, “Decorrelating decision-feedback multiuser detector for synchronous CDMA channel,” IEEE Trans. on Commun., vol. 41, pp. 285–290, Feb. 1993

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  3. A. Boariu, Multiuser detectors for synchronous CDMA communications systems in doubly spread channels. Ph. D. dissertation, Univ. of Colorado at Colorado Springs, May 1999

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© 2000 Kluwer Academic Publishers

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Boariu, A., Ziemer, R.E. (2000). A New Multiuser Detector for Synchronous CDMA Systems in AWGN Channels. In: Tranter, W.H., Woerner, B.D., Rappaport, T.S., Reed, J.H. (eds) Wireless Personal Communications. The International Series in Engineering and Computer Science, vol 536. Springer, Boston, MA. https://doi.org/10.1007/0-306-47010-1_13

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  • DOI: https://doi.org/10.1007/0-306-47010-1_13

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-7923-7705-4

  • Online ISBN: 978-0-306-47010-3

  • eBook Packages: Springer Book Archive

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