摘要

In this paper, a proficient channel estimation technique is proposed to carry out performance improvement and complexity reduction of multiple antenna system. Matrix factorization is applied on training based least squares (LS) estimation to reduce a full rank matrix into a simpler form in order to eliminate matrix inversion. Performance evaluation of the proposed method is validated through MATLAB simulations which indicate 2dB improvement in terms of SNR compared to LS estimation. Moreover complexity comparison is performed in terms of mathematical operations, which shows that proposed approach appreciably outperforms LS estimation at a lower complexity and represents a good solution for channel estimation technique. The paper also provides design and implementation of a multiple antenna system on Xilinx Virtex (TM)-4 XC4VLX60 FPGA that provides reconfigurability, resource utilization and less power consumption. The encoder design is straight forward; however, the decoder design is little tricky as it requires resource optimization. The hardware, presented in this paper, utilizes the resources by adopting the technique of parallelism. The system is developed based on modular design which simplifies system design, eases hardware update and facilitates testing the various modules in an independent manner.

  • 出版日期2010-8