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一种实用的通信信号信噪比盲估计方法 被引量:7

An Applied Method for Blind SNR Estimation in Communication Signals
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摘要 提出了一种简单实用的无线通信信号信噪比盲估计方法。信号功率分布函数中的拐点是与信号频带有关的重要信息参数,通过检测该参数可精确估计信号的带宽和信噪比。对该方法的信号参数适应能力进行了理论分析和计算机仿真,结果表明,新方法无需任何先验信息,运算量小、精度高,适于硬件实现。 A simple and applied method for blind SNR estimation in wireless communications is developed, which is to use comer detection algorithm based on a definite integral of power spectrum to estimate accurately bandwidth and signal-noise-ratio (SNR),by reason that comers are important information in power spectrum. Theoretical analysis and simulation are carried out for the selection of sampling frequency and detection ability for multi-signals and performance for various modulation signals, The results show that the new algorithm without prior information has lower computational complexity and more accurate estimation, which are proper for hardware implementation.
出处 《无线电通信技术》 2007年第2期49-51,共3页 Radio Communications Technology
关键词 无线通信 功率分布函数 拐点检测 信噪比 盲估计 wireless communications power distribution function comer detection signal-noise ratio (SNR) blind estimation.
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  • 1Pauluzzi D R, Beaulieu N C. A comparison of SNR estimation techniques for the AWGN channel [J]. IEEE Trans Commun, 2000, 48(10): 1681-1691.
  • 2Turkboylari M, Stuber G L. An efficient algorithm for estimating the signal-to-interference ratio in TDMA cellular systems [J]. IEEE Trans Commun, 1998, 46(6) : 728-731.
  • 3Andersin M, Mandayam N B, Yates R D. Subspace based estimation of the signal to interference ratio for TDMA system [A]. Proceedings of 1996 IEEE Vehicle Technology Conference [C]. Atlanta, 1996. 1155-1159.
  • 4Wax M, Kailath T. Detection of signals by information theoretic criteria [J]. IEEE Trans ASSP, 1985, 33(2) : 387-392.
  • 5Matzner R, Englberger F. An SNR estimation algorithm using fourth-order moments [A]. Proceedings of the 1994 IEEE Symposium on Information Theory [C]. Trodheim,1994. 119.
  • 6ZHAN Yafeng, CAO Zhigang, MA Zhengxin. A blind SNR estimation algorithm for M-PSK signal in AWGN channel[A]. Proceedings of ICFS2002 [C]. Tokyo: Waseda University, 2002. 18_1 - 18_3.
  • 7ETSI. Universal Mobile Telecommunications System (UMTS): Selection Procedures for the Choice of Radio Transmission Technologies of the UMTS (UMTS 30.03 version 3.2.0) [R]. Tech Rep TR 101 112 V3. 2.0, France:ETSI, 1998.
  • 8PAULUZZI D R, BEAULIEU N C. A comparison of SNR estimation techniques for the AWGN channel[J]. IEEE Trans Communication, 2000, 48( 10): 1681-1691.
  • 9WIESEL A, GOLDBERG J, MESSER H. Non-data-aided signal-to-noise-ratio estimation[A]. IEEE ICC2002[C]. NewYork,USA, 2002. 197-201.
  • 10LI B, DIFAZIO R, ZEIRA A. A low bias algorithm to estimate negative SNRs in an AWGN channel[J]. IEEE Communication Letters,2002, 6(11): 469-471.

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  • 1张广智,印兴耀,吴国忱,张繁昌.一种提高KL变换速度和精度的方法[J].石油物探,1997,36(S1):112-115. 被引量:14
  • 2王红玲,詹毅,张朝霞.地震资料信噪比估算方法改进[J].物探化探计算技术,2007,29(3):189-192. 被引量:14
  • 3钱怡,武传华.跳频信号检测和参数估计技术研究[J].空间电子技术,2007,4(2):14-18. 被引量:3
  • 4刘洋,李承楚.地震资料信噪比估计的几种方法[J].石油地球物理勘探,1997,32(2):257-262. 被引量:29
  • 5隋丹,葛临东.一种新的基于改进PASTd的中频信号盲信噪比估计算法[J].电子与信息学报,2007,29(7):1657-1661. 被引量:20
  • 6ROGSTAD D H, MILEANT A, PHAM T T. Antenna arraying techniques in the deep space network [ M ]. Hoboken, New Jersey : Wiley, 2003.
  • 7DOLINAR S J. Cramer-Rao bounds for signal-to-noise ratio and combiner weight estimation, TDA Progress Report 42-86 [ R ]. [ S. l. ] : Jet Propulsion Laboratory Pasadena California, 1986 : 124-130.
  • 8DOLINAR S J, KALSON S. Maximum likelihood estimation of signal to noise ratio and combiner weight, TDA Progress Report 42-85 [ R]. [S. l. ]: Jet Propulsion Laboratory Pasadena California, 1986:32- 41.
  • 9RODEMICH E R, VILNROTYER V A. Digital combining-weight estimation for broadband sources using maximum-likelihood estimations, TDA Progress Report 42-116[ R]. [ S. l. ] : Jet Propulsion Laboratory Pasadena California, 1994 : 81 - 99.
  • 10VILNROTTER V A, RODEMICH E R. A real-time signal combining system for Ka-Band feed arrays using maximum likelihood weight estimates, TDA Progress Report 42-100[ R]. [ S. l. ] : Jet Propulsion Laboratory Pasadena California, 1990 : 81 - 99.

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