Advanced SearchSearch Tips
Soft Detection using QR Decomposition for Coded MIMO System
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Soft Detection using QR Decomposition for Coded MIMO System
Zhang, Meixiang; Kim, Soo-Young;
  PDF(new window)
Multi-Input Multi-Output (MIMO) transmission is now considered as one of essential techniques enabling high rate data transmissions in wireless communication systems. In addition, severe channel impairments in wireless systems should be compensated by using highly efficient forward error correction (FEC) codes. Turbo codes or low density parity check (LDPC) codes, using iterative decoding with soft decision detection information (SDDI), are the most common examples. The excellent performance of these codes should be conditioned on accurate estimation of SDDI from the MIMO detection process. In this paper, we propose a soft MIMO detection scheme using QR decomposition of channel matrices as an efficient means to provide accurate SDDI to the iterative decoder. The proposed method employed a two sequential soft MIMO detection process in order to reduce computational complexity. Compared to the soft ZF method calculating the direct inverse of the channel matrix, the complexity of the proposed method can be further reduced as the number of antennas is increased, without any performance degradation.
Multi-Input Multi-Output (MIMO);soft decision detection;turbo codes;ZF;QR;
 Cited by
"3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (E-UTRA); Physical Channels and Modulation (Release 8)," 3GPP TS 36.211 V8.3.0 (2008-05)

IEEE 802.16 Standard - Local and Metropolitan Area Networks - Part 16, IEEE Std 802. 163-2005.

C. Berrou, A. Glavieux, and P. Thitimajshima, "Near Shannon limit error-correcting coding and decoding: Turbo-codes," Proc. of IEEE Int. Conf. Commun., Geneva, Switzerland, pp. 1064-1070, 1993.

T. J. Richardson, M. A. Shokrollahi, and R. L. Urbanke, "Design of Capacity-Approaching Irregular Low-Density Parity-Check Codes," IEEE Trans. Inf. Theory, 47(2), pp. 619-637, Feb. 2001. crossref(new window)

김영민, 상평평, 김수영, "부호화된. MIMO 시스템에서 연판정 채널 이득값의 계산," 한국통신학회논문지, 36(6), pp. 577-586, Jun. 2011. (Youngmin Kim, Pingping Shang, and Sooyoung Kim, "Estimation of soft deicion channel gain for coded MIMO system," The Journal of the Korean Institute of Communication Sciences, 36(6), pp. 577-586, Jun. 2011)

Erik G. Larsson and Joakim Jalden "Fixed-complexity soft MIMO detection via partial marginalization," IEEE Trans. Commun., 56(8), pp. 3397-3407, Aug. 2008

L. G. Barbero and J. S. Thompson, "A fixed-complexity MIMO detector based on the complex sphere decoder," IEEE Signal Process. Advanced Wireless Commun (SPAWC), Cannes, France, Jul. 2006.

P. Shang, S. Kim, and K. Choi, "Soft ZF MIMO detection for turbo codes," Proc. of 6th Wireless and Mobile Computing, Networking and Communications, Niagara Falls, Canada, pp. 116-120, 2010.

P. Shang, S. Kim, and K. Choi, "Soft MMSE receiver for turbo coded MIMO system," Proc. of 4th Workshop on Selected Topics in Mobile and Wireless Computing, Shanghai, China, pp. 471-475, 2011.

C. Studer, A. Burg, and H. Bolcskei, "Soft-output sphere decoding: algorithms and VLSI implementation," IEEE J. Select. Areas in Commun., 26(2), pp. 290-300, Feb. 2008. crossref(new window)

J. Joakim and B. Ottersten, "Parallel Implementation of a Soft Output Sphere Decoder," Proc. of Signals, Systems and Computers, Pacific Grove, USA, pp. 581-585, 2005.