Abstract
Turbo-encoded multiple-input multiple-output (MIMO) systems have recently been proposed for the support of high-speed downlink packet access (HSDPA) in UMTS, where the re-use of spreading codes across the transmitter antennas results in high levels of interference. The state of the art receiver for this system incorporates a channel equalizer, followed by an a posteriori probability (APP) detector and a turbo decoder. However, the complexity of APP detection can become prohibitive since it grows exponentially with the number of transmitter antennas and the modulation order. In this paper, a MIMO receiver is proposed which replaces the optimum but complex APP detector by successive interference cancellation (SIC) incorporating sub-optimal matched filter detection. Using convolutional encoding at the transmitter, the receiver performance is sustained via iterations between the simplified detector and the convolutional decoder. In combination with a proposed novel soft-output combining scheme, it is shown that the new receiver can outperform the APP-based receiver at a much lower complexity and with no need for channel equalization.
The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-0-387-35618-1_37
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© 2003 IFIP International Federation for Information Processing
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Claussen, H., Karimi, H.R., Mulgrew, B. (2003). A Low Complexity Iterative Receiver based on Successive Cancellation for MIMO. In: Omidyar, C.G. (eds) Mobile and Wireless Communications. IFIP — The International Federation for Information Processing, vol 106. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35618-1_13
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DOI: https://doi.org/10.1007/978-0-387-35618-1_13
Publisher Name: Springer, Boston, MA
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