低信噪比下基于DAF的LFM信號(hào)參數(shù)估計(jì)新方法
A New Method for Parameters Estimation of LFM Signal Based on DAF at Low SNR
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摘要: 提出了一種基于序列重組提升輸入信噪比,然后利用離散模糊函數(shù)(DAF)估計(jì)LFM信號(hào)參數(shù)的新方法.該方法在不增加采樣數(shù)據(jù)的點(diǎn)數(shù),從而保證實(shí)時(shí)處理的前提下,可以提高參數(shù)估計(jì)的精度,同時(shí)降低正確估計(jì)對(duì)輸入信噪比的要求.該文對(duì)所提方法的基本原理及估計(jì)性能進(jìn)行了理論分析,并通過仿真實(shí)驗(yàn)驗(yàn)證了方法的有效性.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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