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LFM信号参数估计的最大似然改进算法 被引量:4

Improved Maximum Likelihood Estimation Algorithm to Estimate Parameters of LFM Signal
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摘要 为实现含噪声LFM信号参数的快速检测和精确估计,提出了一种基于延时相关解线调的最大似然估计改进算法,即首先在时域内进行延时相关解线调,然后对解线调后含噪声信号进行经典功率谱估计,得到调频斜率的粗略估计,将此估计值作为初始值,再进行最大似然估计,得到调频斜率的精确估计值,用此精确估计值对原LFM信号进行解线调,再以同样的思路可以得到LFM信号初始频率的最大似然精确估计值。仿真实验证明了该算法的有效性。 An improved maximum likelihood estimation algorithm based on delay correlation dechirp is proposed to obtain quick detection and accurate parameter estimation of LFM signal with noise. Firstly LFM signal is dechirped by delay correlation dechirp in time domain, and secondly the parameter of the dechirped signal is estimated by the classical power spectrum estimation to obtain a rough estimation of frequency rate, which is then taken as an initial value of maximum likelihood estimation for estimating the parameter of dechirped signal to get the accurate value of frequency rate. After that, the initial LFM signal is dechirped by use of this accurate value of frequency rate, and then the accurate value of initial frequency is obtained in the same way. This algorithm is proved to be effective by the simulation experiment.
出处 《无线电通信技术》 2009年第3期59-61,共3页 Radio Communications Technology
关键词 线性调频 解线调 最大似然估计 谱估计 LFM dechirp maximum likelihood estimation (MLE) spectrum estimation
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参考文献4

  • 1KAY S M. Modem Spectral Estimation: Theory and Application[ M ]. Englew Cliffs, NJ: Prentice- Hall, 1988 : 243- 270.
  • 2ABATZOGLOU T J. Fast Maximum Likelihood Joint Estimation of Frequency and Frequency Rate [ J ]. IEEE Trans. on AES, 1986,22(6) : 708 - 715.
  • 3杨辉.线性调频雷达信号检测与参数估计[D].第二炮兵工程学院硕士学位论文,2006:51-53.
  • 4李英祥,肖先赐.低信噪比下线性调频信号检测与参数估计[J].系统工程与电子技术,2002,24(8):43-45. 被引量:28

二级参考文献1

共引文献27

同被引文献31

  • 1张容权,杜雨洺,杨建宇,黄钰林,熊金涛.一种LFM信号最大似然估计模型与参数估计快速算法[J].电波科学学报,2005,20(5):651-655. 被引量:15
  • 2杜雨洺,杨建宇.基于时间-调频斜率分布的多线性调频信号检测与参数估计[J].电子与信息学报,2007,29(3):631-634. 被引量:8
  • 3Xiumei Li, Guoan Bi, Yingtuo Ju. Quantitative SNR Analysis for ISAR Imaging using LPFT [J]. IEEE Transactions on Aerospace and Electronic system, 2009, 45(3): 1241-1247.
  • 4Guoan Bi, Xiumei Li, Chong Meng Samson See. LFM signal detection using LPP-Hough transform [J]. IEEE Signal Processing, 2011, 91: 1432-1443.
  • 5Shimon Peleg, Boaz Porat. Estimation and classification of polynomial-phase signals [J]. IEEE Transactions on Information Theory, 1991, 37(2): 422-430.
  • 6L Stankovic, S Djukanovic. Order adaptive local polynomial FT based interference rejection in spread spectrum communication systems [J]. IEEE Transactions on Instrumentation and Measurement, 2005, 54 (6): 2156-2162.
  • 7Vladimir Katkovnik. Discrete-time Local Polynomial Approximation of the Instantaneous Frequency [J]. IEEE Transactions on Signal Processing, 1998, 46(10): 2626-2638.
  • 8郭斌,张红雨.分级计算迭代在Radon-Ambiguity变换和分数阶Fourier变换对chirp信号检测及参数估计的应用[J].电子与信息学报,2007,29(12):3024-3026. 被引量:18
  • 9Tao R, Feng Y, and Wang Y. Theoretical and experimental study of a signal feature extraction algorithm for measuring propeller acceleration in a port surveillance system[J]. IET Radar, Sonar & Navigation, 2011, 5(2): 172-181.
  • 10Chen G H, Ma S W, Qin T H, et al.. Geometry- information-aided efficient motion parameter estimation for moving-target imaging and location[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(1): 155-159.

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