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基于DAF的多分量LFM信号参数估计

Parameters Estimation of Multi-Component LFM Signal Based on DAF
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摘要 提出了将多分量LFM信号先分离,然后利用离散模糊函数(DAF)估计各信号分量参数的新方法。该方法还结合了基于Chirp-Z变换的频谱细化算法和多时延处理方法,能在较少的运算量下,准确地估计出各分量信号的参数,同时避免了直接利用DAF方法对多分量LFM信号估计时交叉项的影响。仿真结果表明了该方法的有效性。 Discrete Ambiguity Function(DAF) is used to estimate parameters of LFM signal after separating multi-component signals of LFM. This method takes advantage of the frequency estimation algorithm based on Chirp-Z transform and multi-time-delay technique. It can obtain high precision of parameters estimation and the correlated cross-item can be avoided effectively. Simulation results show that this method is valid.
作者 冯维婷
出处 《电子科技》 2009年第8期10-12,16,共4页 Electronic Science and Technology
关键词 参数估计 LFM信号 DAF 起始频率 调频斜率 parameter estimation LFM signal DAF initial frequency chirp rate
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