用于多分量线性调频信号的自适应核分布分析
Analysis of an adaptive Gaussian-kernel time-frequency distribution for LFM signals
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摘要: 该文针对多分量线性调频信号,提出了一种新的自适应核时频分布-自适应高斯核分布,并给出了有效的核函数估计准则;以自适应高斯核分布为例,分析了采用自适应核时频分布对信号自身项及交叉项的影响,从而说明自适应核相对于固定核的优势所在;总结了基于模糊域自适应设计多分量线性调频信号核函数的一般方法。计算机仿真结果表明了自适应高斯核分布在抑制交叉项并保持较高时频分辨力方面的有效性。Abstract: A new kind of bilinear time-frequency distribution-adaptive Gaussian-kernel distribution (AGD) is proposed according to multi-component linear frequency-modulated (LFM) signals, and a new efficient kernel estimation method is presented. With the AGD as an example, the influences of the adaptive kernel to the signalterms and crossterms are discussed in detail, which from another point of view indicates its advantages over the fixed kernel. Finally, a common adaptive kernel design method based on ambiguity domain for LFM signals is generalized. Computer simulations confirm the performance improvement of AGD and its corresponding analysis.
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