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[Near Optimal Decoding][Multiuser Detection] [Modulation][Performance Study]

Multiuser Joint Detection

Multiuser detection could achieve a significant capacity improvement over conventional detection. In our previous work, we have showed that the breadth first reduced complexity multiuser detector can achieve near optimum performance at a very low complexity when the receiver knows all the channel parameters and correlation matrix.

Selected Papers:

Here is a glimpse of the bit error performance of near optimal detectors as a function of the number of users (K) for bit energy to noise power ratio (Eb/No) of 7 dB, where binary random spreading codes are used

BER performance

The above curve is from the paper (L. Wei, L. K. Rasmussen and R. Wyrwas, "Near Optimum Tree-Search Detection Schemes for Bit-Synchronous Multiuser CDMA Systems Over Gaussian and Two-Path Rayleigh Fading Channels", IEEE Trans. on Communications, Vol.COM-45, June 1997, pp.691-701.)

Near Optimal Low Complexity Multiuser Detection

This research concerns the understanding of near optimal low complexity multiuser detection. Current research has been focused on how to prove theoretically that the breadth first detector is asymptotically optimal (i.e., P(e) for our detector is equal to P(e) of the optimal detector when the bit energy to noise power ratio tends to infinity). Work done by Forney, Anderson and etc, provides an essential foundation for this research.

Selected Papers:

Performance Analysis Techniques for Multiuser Systems

This research concerns how to determine the performance of optimal multiuser detection for coded and uncoded CDMA systems. For uncoded CDMA systems we have a simple way to compute the bounds on the BER of the optimal decoder. For coded CDMA systems, we know much more about the key performance indicator-- the minimum distance of coded systems.

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Adaptive & Robust Near Optimal Low Complexity Multiuser Detection.

How to implement the near optimal multiuser detector is the key focusing point of this project. We are focusing on using adaptive algorithms to directly estimate the parameters of the whitening matched filter. The whitening matched filter was proposed by Forney in 1974. How to directly estimate its parameters is still an open problem. If it can be done, then the receiver complexity will be dramatically reduced. Also we are applying the concept of "robust" (or min-max) to reduce the effect of estimation errors on the system performance.

Selected Papers:

Much of research attention has also been focused on adaptive and robust iterative multiuser detection.

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Last modified: Dec 2003.