A low complexity post-processing SNR estimator for non-linear receiver in MIMO systems

  • Authors:
  • Li Qiang;Wu Yuchun;Gao Zhenxing

  • Affiliations:
  • Research Department, HiSilicon Technologies Co., Ltd, Beijing, China;Research Department, HiSilicon Technologies Co., Ltd, Beijing, China;Algorithm Development Department, HiSilicon Technologies Co., Ltd, Beijing, China

  • Venue:
  • WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
  • Year:
  • 2009

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Abstract

The use of spatial multiplexing in multi-input multi-output (MIMO) systems can provide a substantial gain in system throughout. In such systems it is desirable to obtain the post-processing signal to noise ratios (SNRs) of the multiplexed substreams so that channel state information (CSI) can be further derived. A related study shows that if a non-linear receiver is adopted, the post-processing SNRs are determined by the minimum squared Euclidian distance between signal points at the receiver side. In this paper, we design a low complexity algorithm to estimate the minimum squared Euclidian distance using QR decomposition and M-algorithm. Post-processing SNRs are then calculated based on the estimates. Monte Carlo simulations show that under different randomly generated MIMO channel matrices, the new algorithm provides reliable measurements of the post-processing SNRs.