Iterative data detection for OFDM systems with unknown narrowband interference

  • Authors:
  • Youwen Yi;Daiming Qu;Tao Jiang;Guangxi Zhu;Yejun He

  • Affiliations:
  • Huazhong U of S&T, Wuhan, Hubei, China;Huazhong U of S&T, Wuhan, Hubei, China;Huazhong U of S&T, Wuhan, Hubei, China;Huazhong U of S&T, Wuhan, Hubei, China;Shenzhen University, Shenzhen, China

  • Venue:
  • Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
  • Year:
  • 2010

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Abstract

In this paper, we propose an iterative data detection scheme to combat unknown narrowband interference for orthogonal frequency division multiplexing (OFDM) systems. The key idea of the proposed scheme is to joint channel estimation, noise plus interference power estimation and decoding together to enhance both the estimation accuracy and bit error ration (BER) performance. We derive the Cramér-Rao Bounds (CRB) for mean square errors of channel estimation and noise plus interference estimations, and the CRBs can be achieved via the proposed scheme with very few iteration numbers, hence, the complexity of the proposed scheme is very low. Moreover, simulation results show that the decoding performance of the proposed scheme substantially approaches to that of the maximum likelihood decoder with perfect channel estimation and full knowledge of interference distribution.