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一种信噪比估计方法及其应用 被引量：2

SNR Estimate Method and Its Application
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摘要 针对跳频抗干扰通信中不同跳频点上信噪比可能不一致的问题,根据巴克码自相关函数值的大小设计一种可以准确估计信噪比的方法。结合低密度奇偶校验码进行信道编码纠错,提高了信道译码性能。当某些跳频点受强噪声干扰时,直接进行纠删处理,提高系统抗干扰能力。 Aiming at the problem that different frequency hopping points may have different SNR values in frequency hopping anti-jamming communication, this paper designs a method for SNR accurate estimate according to the self-correlation function value of Barker codes. The channel decoding performance is improved with channel encoding error-correcting by using Low Density Parity-check Codes（LDPC） codes. When some frequency hopping points encounter bad noise, erasure-correct processing is done directly, and the anti-jamming performance of system is improved.
作者 野晓东 马林华 王卫民 杨学兵
机构地区 空军工程大学工程学院航空电子工程系
出处 《计算机工程》 CAS CSCD 北大核心 2009年第18期102-104,共3页 Computer Engineering
关键词 跳频通信 低密度奇偶校验码 信噪比估计 巴克码 frequency hopping communication Low Density Parity-check COdes（LDPC） SNR estimate Barker code
分类号 TN911.22 [电子电信—通信与信息系统]
  • 相关文献

参考文献4

  • 1Gallager R G. Low Density Parity-check Codes[M]. Cambridge, UK: MIT Press, 1963.
  • 2MacKay D J C, Neal R M. Near Shannon Limit Performance of Low-density Parity Check Codes[J]. IEE Electronics Letter, 1996, 32(18): 1645-1646.
  • 3David J, MacKay C. Good Error-correcting Codes Based on Very Sparse Matrices[J]. IEEE Transactions on Information Theory, 1999, 45(2): 399-431.
  • 4Chung Sae-Young, Fomey G D, Richardson J T J, et al. On the Design of Low-density Parity-check Codes Within 0.004 5 dB of the Shannon Limit[J]. IEEE Comm. Letters, 2001, 5(2): 58-60.

同被引文献11

  • 1Pauluzzi D R, Beaulieu N C. A Comparison of SNR Estimation Techniques for the AWGN Channel[J].IEEE Trans. on Communications.2000, 48(10):1681-1691.
  • 2Boujelben M A, Bellili F, Affes S, et al. EM Algorithm for Non-data-aided SNR Estimation of Linearly-modulated Signals over SIMO Channels[C] //Proc. of IEEE Global Telecommuni- cations Conference. Honolulu, USA: IEEE Press, 2009: 1-6.
  • 3Stéphenne A, Bellili F, Affes S. Moments-based SNR Estimation for SIMO Wireless Communication Systems Using Arbitrary QAM[C] //Proc. of the 41st Asilomar Conference on Signals, Systems and Computers. Pacific Grove, USA:[s. n.] , 2007: 601-605.
  • 4Stéphenne A, Bellili F, Affes S. Moments-based SNR Estimation over Linearly-modulated Wireless SIMO Channels[J]. IEEE Trans. on Communications, 2010, 50(2): 714-722.
  • 5Lopez-Valcarce R, Mosquera C. Sixth-order Statistics-based Non-data-aided SNR Estimation[J].IEEE Commun. Lett.2007, 11(4):351-353.
  • 6CCSDS. Low-density parity-check codes LDPC for use in near-earth and deep space applications [ EB/OL]. [ 2011 -01 -11 ]. http:// public.' ccsds, org/publications/archive/131 xl o2e2. pdf.
  • 7PISHRO-NIK H, FEKRI F. Results on punctured LDPC codes [ C]// ITW 2004: Proceedings of 2004 IEEE Information Theory Workshop. Piscataway, NJ: IEEE, 2004:215-219.
  • 8THORPE J. Low-Density Parity-Check (LDPC) codes constructed from protographs [ EB/OL]. [ 2011 - 01 - 12]. http://ipnpr, jpl. nasa. gov/progress_report/42-154/154C, pdl.
  • 9RICHARDSON T J, URBANKE R L. Efficient encoding of low-den- sity parity-check codes [ J]. IEEE Transactions on Information Theo- ry, 2001, 47(2): 638-656.
  • 10KSCHISCHANG F R, FREY B J, LOELIGER H A. Factor graphs and the sum-product algorithm [ J]. IEEE Transactions on Informa- tion Theory, 2001, 47(2): 498-519.

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二级引证文献4

计算机工程
2009年 第18期

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