基于先验信息的M-APSK信号迭代信噪比估计

聂远飞; 葛建华; 王勇

doi:10.3724/SP.J.1146.2007.00327

基于先验信息的M-APSK信号迭代信噪比估计

doi: 10.3724/SP.J.1146.2007.00327

基金项目:

国家863计划项目(2006AA01Z270)，国家自然科学基金重大项目(60496316)和国家自然科学基金重点项目(60332030)资助课题

计量
- 文章访问数: 3423
- HTML全文浏览量: 62
- PDF下载量: 820
- 被引次数: 0
出版历程
- 收稿日期: 2007-03-07
- 修回日期: 2007-09-24
- 刊出日期: 2008-09-19

Iterative SNR Estimation Algorithm for M-APSK Signal Based on A Priori Information

摘要

摘要: 该文提出了一种适合多进制振幅移相键控信号信噪比估计的迭代算法。给定先验信息的条件下，由经过平坦衰落的多进制振幅移相键控信号的概率分布出发，对其对数期望求导得到信噪比参数和数据的关系，引入数据可信度更新信噪比参数，从而获得相应的迭代算法。与已有的矩方法相比，该文提出的基于先验信息迭代算法在迭代四次，互信息大于0.4以上时性能优于已有非数据辅助算法，而无先验信息下的五次迭代时中高信噪比下优于矩方法。
- 信噪比估计 /
- 最大期望 /
- 最大似然 /
- 互信息
Abstract: This paper proposes an iterative Signal-to-Noise Ratio (SNR) estimation algorithm suited to Multiple Amplitude Phase Shift Keying (M-APSK) signal based on a priori information. Given a priori, the M-PASK signal has the determinate probability distribution with flat-fading, and its logarithmic expection is differentiated to yield the relation between the SNR parameters and the data. Reliability metric is introduced to updata the parameters, then the iterative algorithm is put forward correspondingly. Compared with the foregone Memont Methods (MM), simulation results show that the new algorithm using a prior has better performance when the intrinsic information is larger than 0.4 with 4 iterations, while that without a prior only better in middle and hign SNR with 5 iterations used.
- S /
- i /
- g

HTML全文

参考文献(1)

[1] [1] ETSI. Digital Video Broadcasting (DVB); Second generationframing structure, channel coding and modulation systemsfor Broadcasting, Interactive Services, News Gathering andother broadband satellite applications, ETS 302 307 V1.1.1[S]. Lucioles France: ETSI. June 2004. [2] David R Pauluzzi and Norman C Beaulieu. A comparison ofSNR estimation techniques for the AWGN channel [J]. IEEETrans. on Comm., 2000, 48(10): 1681-1691. [3] Gao Ping and Tepedelenlioglu Cihan. SNR estimation fornonconstant modulus constellations [J].IEEE Trans. on SP.2005, 53(3):865-870 [4] 许华, 樊龙飞, 郑辉. 一种QAM信号的盲信噪比估计算法[J].电子学报，2005, 33(4): 758-761. [5] Ami Wiesel, Jason Goldberg, and Hagit Messer. Non-dataaidedsignal-to-noise-ratio estimation [A]. Proc.IEEE Int.Conf. Commun. (ICC) [C]. New York, 2002: 198-201. [6] Li Bin, DiFazio Robert, and Zeira Ariela. A low biasalgorithm to estimate negative SNRs in an AWGN channel[J].IEEE Commmunication Letters.2002, 6(11):469-471 [7] Li Bin, DiFazio Robert, and Zeira Ariela, et al.. New resultson SNR estimation of MPSK modulated signals[A].Proceedings of the 14th International Symposium onPersonal, Indoor and Mobile Radio Communication(PIMRC)[C]. Beijing: IEEE 2003: 2373-2377. [8] Thorsten Clevom, Frank Oldewurtel, and SusanneGodtmann,et al.. Iterative demodulation for DVB-S2[A].IEEE 16th International Symposium on Personal, Indoor andMobile Radio Communications (PIMRC) [C]. Berlin: IEEE2005: 2576-2580. [9] Titterington D M, Smith A F M, and Makov U E. StatisticalAnalysis of Finite Mixture Distributions [M]. NewYork:Wiley, 1985: 345-380. [10] Brink S ten. Convergence behavior of iteratively decodedparallel concatenated codes [J].IEEE Trans. on Comm.2001,49(5):1727-1737

施引文献

资源附件(0)

访问统计