低信噪比下基于DAF的LFM信号参数估计新方法
A New Method for Parameters Estimation of LFM Signal Based on DAF at Low SNR
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摘要: 提出了一种基于序列重组提升输入信噪比,然后利用离散模糊函数(DAF)估计LFM信号参数的新方法.该方法在不增加采样数据的点数,从而保证实时处理的前提下,可以提高参数估计的精度,同时降低正确估计对输入信噪比的要求.该文对所提方法的基本原理及估计性能进行了理论分析,并通过仿真实验验证了方法的有效性.Abstract: Discrete Ambiguity Function （DAF） is used to estimate parameters of LFM signal after improving SNR based on recomposing sequences. This method does not add the number of the sampling data and ensures real-time processing, but can improve the precision of parameters estimation and reduce the need for input Signal-to-Noise Ratio（SNR） in order to estimating exactly. This paper analyses theoretically its basic principle and performance. Simulation results prove the validity of this method.
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