| 基于最大似然法的超分辨率离散谱估计算法 |
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| 引用本文： | 潘明海,刘永坦,赵淑清. 基于最大似然法的超分辨率离散谱估计算法[J]. 信号处理, 1999, 0(Z1) |
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| 作者姓名： | 潘明海 刘永坦 赵淑清 |
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| 作者单位： | 哈尔滨工业大学 |
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| 摘 要： | 基于最大似然法的交替陷波周期图算法（ＡＮＰＡ）是一种超分辨率的谱估计算法，它同时具有超分辨率、高精度和低信噪比门限的特性。本文提出了一种计算陷波周期图的新算法，它可使运算量和存储容量大幅度下降。计算机仿真结果证明了这种算法在分辨能力和估计精度方面优于己有算法。
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| 关 键 词： | 最大似然法 交替陷波周期图法 超分辨率离散谱估计 |
A Superresolution Discrete Spectrum Estimation Algorithm Based on Maximum Likelihood |
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| Pan Minghai,Liu Yongtan,Zhao Shuqing. A Superresolution Discrete Spectrum Estimation Algorithm Based on Maximum Likelihood[J]. Signal Processing(China), 1999, 0(Z1) |
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| Authors: | Pan Minghai Liu Yongtan Zhao Shuqing |
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| Affiliation: | Harbin Institute of technology |
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| Abstract: | Alternating notch periodogram algorithm (ACPA) based on maximum likelihood (ML) can regarded as a complete solution to the discrete spectrum estimation problem since it achieves superresolution, very high accuracy, and low SNR threshold. In this paper, a new algorithm of computing notch periodogram is proposed, in which the computational load and the number of data memory units can be effciently reduced. Computer simulation results illustrate that this new algorithm is more excellent than others in resolution and accuracy. |
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| Keywords: | Maximum Likelihood Alterating notch periodogram algotithm Superresolution Discrete Spectrum Estimation |
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