Signal Processing and Information Technology. First International Joint Conference, SPIT 2011 and IPC 2011, Amsterdam, The Netherlands, December 1-2, 2011, Revised Selected Papers

Research Article

Error Propagation Analysis of Different Detectors for V-BLAST MIMO Channels

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  • @INPROCEEDINGS{10.1007/978-3-642-32573-1_19,
        author={Shreedhar Joshi and T. Rukmini and H. Mahesh},
        title={Error Propagation Analysis of Different Detectors for V-BLAST MIMO Channels},
        proceedings={Signal Processing and Information Technology. First International Joint Conference, SPIT 2011 and IPC 2011, Amsterdam, The Netherlands, December 1-2, 2011, Revised Selected Papers},
        proceedings_a={SPIT \& IPC},
        year={2012},
        month={10},
        keywords={V-BLAST OSIC PIC ZF MMSE},
        doi={10.1007/978-3-642-32573-1_19}
    }
    
  • Shreedhar Joshi
    T. Rukmini
    H. Mahesh
    Year: 2012
    Error Propagation Analysis of Different Detectors for V-BLAST MIMO Channels
    SPIT & IPC
    Springer
    DOI: 10.1007/978-3-642-32573-1_19
Shreedhar Joshi1,*, T. Rukmini2, H. Mahesh3
  • 1: S D M College of Engineering
  • 2: R V College of Engineering
  • 3: Bangalore University
*Contact email: Shreedhar.j@rediffmail.com

Abstract

In a highly-scattering wireless environment, Vertical Bell Laboratories Layered Space-Time (V-BLAST) is a promising MIMO spatial multiplexing scheme, which can achieve high channel capacity without any increase in bandwidth and transmission power. In this paper a Parallel Interference cancellation (PIC) detection and ordered successive interference cancellation (OSIC) schemes are proposed to reduce the high computational complexity and large system delay caused by the pseudo inverse of channel matrix and the ordering process. The V-BLAST algorithms with ordered and un-ordered ZF / MMSE detectors are compared for the error propagation. The V-BLAST algorithm is combined with various Transmitter / Receiver antenna selection combination to achieve high channel capacity while sharing the spectral resources over a MIMO channel. The received signal after interference cancellation passes through linear equalization or parallel interference cancellation with low complexity. Simulation results shows, the proposed algorithms can decrease the computational complexity without performance loss.