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PIC-MF-based Iterative Receiver for Multiuser Space Frequency Block Coding Systems
作者姓名:林文峰  何晨  熊勇
作者单位:Dept.of Electronic Eng. Shanghai Jiaotong Univ.,Dept.of Electronic Eng.,Shanghai Jiaotong Univ.,Shanghai Research Center for Wireless Communications,Shanghai 200240,China,Shanghai Research Center for Wireless Communications Shanghai 200050,China,Shanghai 200240,China,Shanghai 200050,China
摘    要:A novel low-complexity iterative receiver for multiuser space frequency block coding (SFBC) system was proposed in this paper. Unlike the conventional linear minimum mean square error (MMSE) detector, which requires matrix inversion at each iteration, the soft-in soft-out (SISO) detector is simply a parallel interference cancellation (PIC)-matched filter (MF) operation. The probability density function (PDF) of PIC-MF detector output is approximated as Gaussian, whose variance is calculated with a priori information fed back from the channel decoder. With this approximation, the log likelihood ratios (LLRs) of transmitted bits are under-estimated. Then the LLRs are multiplied by a constant factor to achieve a performance gain. The constant factor is optimized according to extrinsic information transfer (EXIT) chart of the SISO detector. Simulation results show that the proposed iterative receiver can significantly improve the system performance and converge to the matched filter bound (MFB) with low computational complexity at high signal-to-noise ratios (SNRs).


PIC-MF-based Iterative Receiver for Multiuser Space Frequency Block Coding Systems
LIN Wen-feng,HE Chen,XIONG Yong.PIC-MF-based Iterative Receiver for Multiuser Space Frequency Block Coding Systems[J].Journal of Shanghai Jiaotong university,2007,12(4):464-470.
Authors:LIN Wen-feng  HE Chen  XIONG Yong
Abstract:A novel low-complexity iterative receiver for multiuser space frequency block coding (SFBC) system was proposed in this paper. Unlike the conventional linear minimum mean square error (MMSE) detector, which requires matrix inversion at each iteration, the soft-in soft-out (SISO) detector is simply a parallel interference cancellation (PIC)-matched filter (MF) operation. The probability density function (PDF) of PIC-MF detector output is approximated as Gaussian, whose variance is calculated with a priori information fed back from the channel decoder. With this approximation, the log likelihood ratios (LLRs) of transmitted bits are under-estimated. Then the LLRs are multiplied by a constant factor to achieve a performance gain. The constant factor is optimized according to extrinsic information transfer (EXIT) chart of the SISO detector. Simulation results show that the proposed iterative receiver can significantly improve the system performance and converge to the matched filter bound (MFB) with low computational complexity at high signal-to-noise ratios (SNRs).
Keywords:iterative  multiuser  space frequency block coding (SFBC)  parallel interference cancellation (PIC)  matched filter (MF)  extrinsic information transfer (EXIT)
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