MIMO系统中基于因素图的迭代信号检测算法

Abstract

Abstract: A factor graph description of transmitted signal estimation and inference is presented based on the likelihood detection model of the received signal in wireless communications.The sum-product algorithm is applied to the factor graph for iterative signal detection over the frequency selective channel in MIMO systems. Furthermore,a fast iterative detection algorithm is proposed to reduce the computational complexity,where a probabilistic data association method is introduced to avoid integral computation in the normal sum-product algorithm.Simulation results show that the proposed iterative signal detection algorithm using the normal sum-product algorithm approximates to optimum performance.The computational complexity of the fast iterative algorithm can be greatly reduced;meanwhile its bit error rate performance is also better than the traditional minimum mean square error algorithm.

CLC Number:

TN911.23

GUO Xin-yue, HU Bo, YANG Tao. Iterative signal detection algorithm based on factor graph in MIMO systems[J]. Journal of Systems Engineering and Electronics, 2009, 31(7): 1534-1538.

References

[1] Paulraj A J,Gore D A,Nabar R U.An overview of MIMO communications-a key to gigabit wireless[J].Proc.of the IEEE,2004,92(2):198-218.
[2] Foschini G J,Gans M J.On limits of wireless communication in a fading environment when using multiple antennas[J].Wireless Personal Communication,1998,6(3):311-335.
[3] Telatar I E.Capacity of multi-antenna Gaussian channels[J].Europeans Trans.on Telecommunication,1999,10(6):585-595.
[4] Proakis J G.Digital communication[M].New York:McGraw-Hill,1995,598-647.
[5] Biglieri E,Nordio A,Taricco G.Iterative receivers for coded MIMO signaling[J].Wireless Communications & Mobile Computing,2004,4(7).697-710.
[6] Worthen A P,Stark W E.Unified design of iterative receivers using factor graph[J].IEEE Trans.on In formation Theory,2001,47(2):849-853.
[7] Gallager R G.Low density parity check codes[J].IEEE Trans.on Information Theory,1962,8(1):21-28.
[8] MacKay D J C.Good error correcting codes based on very sparse matrices[J].IEEE Trans.on Information Theory,1999,45 (2):399-431.
[9] Richardson T,Shokrollahi A,Urbanke R.Design of capacity-approaching irregular low-density parity check codes[J].IEEE Trans,on Information Theory,2001,47(2):619-637.
[10] Kchischang F R,Frey B J,Loeliger H A.Factor graphs and the sum product algorithm[J].IEEE Trans.on Information Theory,2001,47(2),498-519.
[11] Loeliger H A.An introduction to factor graphs[J].IEEE Signal Processing Magazine,2004,21:28-41.
[12] Colavolpe G,Germi G.On the application of factor graphs and the sum-product algorithm to ISI channel[J].IEEE Trans.on Communications,2005,53(5):818-825.
[13] Lu B,Yue G S,Wang X D.Factor-graph-based soft self-iterative equalizer for multipath channels[J].EURASIP Journal on Wireless Communications and Networking,2005,2005(2):187-196.
[14] Kaynak M N,Duman T M,Kurtas E M.Belief propagation o-ver SISO/MIMO frequency selective fading channels[J].IEEE Trans,on Wireless Communications,2007,6(6):2001-2005.
[15] Luo J,Pattipati K R,Willett P K.Near-optimal multiuser detection in synchronous CDMA using probabilistic data associa-tion[J].IEEE Communication Letters,2001,5(9):361-363.
[16] Aji S M,McEliece R J.The generalized distributive law[J].IEEE Trans.on Information Theory,2000,46 (2):325-343.
[17] Yazdani M R,Hemati S,Banihashemi A H.Improving belief propagation on graphs with cycles[J].IEEE Communication Letters,2004,8(1),57-59.

Iterative signal detection algorithm based on factor graph in MIMO systems

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