Abstract
Traditional equalization algorithms for multiple input multiple output (MIMO) systems suffer from high complexity and low convergence rate. So an improved adaptive reduced-rank joint detection algorithm of multistage Wiener filter (MSWF) based on rectangle blocking matrices is proposed. The MSWF is implemented by the correlation subtraction algorithm (CSA) structure and is called unitary multistage Wiener filter (UMSWF). The new scheme adopts rectangle submatrix as blocking matrix, which is chosen from the square blocking matrix for UMSWF. The proposed algorithm can reduce the size of the observation data vectors step by step in the forward recursion decomposition of UMSWF. Thus, the computational complexity is reduced and the convergence rate is increased. Theoretical analysis and simulation results show that this improved adaptive reduced-rank joint detection algorithm of UMSWF based on rectangle blocking matrix has better performance such as lower complexity and faster convergence rate. In particular, simulations are conducted in the vertical-Bell Labs layered space-time (V-BLAST) system which adopts BPSK modulation, where 4 and 8 antennas are equipped at the transmitter and receiver, respectively. Compared with traditional equalization algorithm based on UMSWF, our new method can achieve the same BER performance at high SNR with only 0.5 times that of computational complexity.
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References
Sun Y K, Honing M L. Performance of reduced-rank equalization. IEEE Trans Inf Theory, 2006, 52: 4548–4562
Goldstein J S, Reed I S. Reduced rank adaptive filtering. IEEE Trans Signal Proc, 1997, 45: 492–496
Goldstein J S, Reed I S, Scharf L L. A multistage representation of the Wiener filter based on orthogonal projections. IEEE Trans Inf Theory, 1998, 44: 2943–2959
Ricks D, Goldstein J S. Efficient implementation of multi-stage adaptive Weiner filters. In: Antenna Applications Symposium, 2000
Honing M L, Xiao W M. Performance of reduced-rank linear interference suppression. IEEE Trans Inf Theory, 2001, 47: 1928–1946
Honing M L, Goldstein J S. Adaptive reduced-rank interference suppression based on the multistage Wiener filter. IEEE Trans Commun, 2002, 50: 986–994
Dletl G, Mensing C, Utschick W, et al. Multi-stage MMSE decision feedback equalization for edge. In: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing. Piscataway, USA, 2003. 509–512
Rodrigo C, De L, Are H, et al. Adaptive MIMO reduced-rank equalization based on joint iterative least squares optimization of estimators. In: IEEE Vehicular Technology Conference. Singapore, 2008. 1389–1393
Rodrigo C, De L, Are H, et al. Adaptive MIMO decision feedback reduced-rank equalization based on joint iterative optimization of adaptive RLS estimation algorithms. In: IEEE WCNC. Las Vegas, NV, 2008. 413–418
Groh I, Dietl G, Utschick W. Preconditioned and rank-flexible block conjugate gradient implementations of MIMO Wiener decision feedback equalizers. In: IEEE International Conference on Acoustics, Speech and Signal Processing. Toulouse, France, 2006. IV-441–IV-444
Ding Q J, Wang Y L, Zhang Y S. Efficient algorithms for implementing multistage Wiener filter in adaptive arrays (in Chinese). J Electron Inf Tech, 2006, 28: 936–940
Quan L H. Research on reduced-rank detection algorithm in MIMO systems (in Chinese). Dissertation for the Doctoral Degree. Xi’an: Xi’an Jiaotong University, 2007. 29–45
Ren P Y, Quan L H. Adaptive reduced-rank linear equalization of multiple input multiple output frequency selective channels based on multistage Wiener filter (in Chinese). J Xi’an Jiaotong Univ, 2008, 42: 218–222
Dumard C, Thomas Z M. Low-complexity MIMO multi-user receiver: a joint antenna detection scheme for time-varying channels. IEEE Trans Signal Proc, 2008, 56: 2931–2940
Wubben D, Kammeyer K D. Parallel-SQRD for low complexity successive interference cancellation in per-antenna-coded MIMO-OFDM Schemes. In: The 6th International ITG-Conference on Source and Channel Coding. Munich, Germany, 2006. 254–259
Shiu D S, Kahn J M. Layered space-time codes for wireless communications using multiple transmit antennas. In: IEEE Proceedings of International Conference on Communications (ICC’99). Vancouver, BC, Canada, 1999. 1: 436–440
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Ren, P., Wang, R. & Zhang, S. Rectangle blocking matrices based unitary multistage Wiener reduced-rank joint detection algorithm for multiple input multiple output systems. Sci. China Inf. Sci. 53, 2116–2126 (2010). https://doi.org/10.1007/s11432-010-4063-0
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DOI: https://doi.org/10.1007/s11432-010-4063-0