Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (21): 138-141.DOI: 10.3778/j.issn.1002-8331.2010.21.039

• 数据库、信号与信息处理 • Previous Articles     Next Articles

Least p norm criterion α spectrum estimation with carrier frequency detection

JIANG Jin-long,ZHA Dai-feng,FAN Hong-she   

  1. College of Electronic Engineering,Jiujiang University,Jiujiang,Jiangxi 332005,China
  • Received:2009-02-24 Revised:2009-05-07 Online:2010-07-21 Published:2010-07-21
  • Contact: JIANG Jin-long

最小p范数准则α谱估计及载波频率检测

江金龙,查代奉,樊红社   

  1. 九江学院 电子工程学院,江西 九江 332005
  • 通讯作者: 江金龙

Abstract: Least P Norm criterion(LPN) is proposed to improve performance of alpha spectrum estimation based on covariation coefficient matrix and Fractional Lower Order(FLO) covariance matrix;An improved Singularity Value Decomposition(SVD) method,named FLO-SVD,is used to estimate minimal order of AR[SαS]signal model;LPN and IRLS algorithm are identified the parameters of model for estimating alpha spectrum of signal.Simulation results on QPSK signal in impulsive noise show that the proposed method has better performance than methods based on covariation coefficient matrix and FLO covariance matrix and exacter estimation than conventional SVD method in carrier frequency detections.

Key words: nonGaussian signal processing, alpha spectrum estimation, least p norm criterion, fractional lower order Singularity Value Decomposition(SVD) method, carrier frequency detections

摘要: 针对共变系数矩阵和分数低阶协方差矩阵估计ARSαS信号α谱精度不高的情况,提出了一种最小p范数准则的α谱估计方法。该方法对传统的奇异值分解(SVD)方法估计ARSαS信号模型最小阶数进行改进,得到一种分数低阶的奇异值分解方法(FLO-SVD),然后利用最小p范数准则和IRLS算法求出信号模型参数,用于作α谱估计。应用于脉冲噪声环境下的QPSK信号的仿真表明,改进后的方法对α谱有更好的估计,对载波频率有更准确的检测性能。

关键词: 非高斯信号处理, alpha谱估计, 最小p范数准则, 分数低阶奇异值分解(SVD)方法, 载波频率检测

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