用于多分量线性调频信号的自适应核分布

首先分析了自适应高斯核函数的局限性,并作了改进,同时给出了其参数估计方法。然后,基于线性调频信号模糊度函数特征,提出了一种新的自适应核函数。两种新的核函数的宽度对信号长度具有自适应能力,所以在获得了一定的交叉项抑制能力的同时,避免了较大的信号自项能量损失。不仅对更一般的多分量线性调频信号具有适用性,而且简化了参数的求解。因而,相对于自适应高斯核函数而言,两者性能更优。仿真结果验证了本文方法的有效性。

Adaptive kernel distributions for multi-component LFM signals

This paper improves the adaptive Gaussian kernel (AGK), and presents a novel method for estimating parameters of AGK. Based on the features of ambiguity function of LFM signal, a new adaptive kernel is given. Because the width of both the new kernel and modified kernel are adaptive to signal length, both of them avoid large loss of energy of autoterms while obtaining certain performance in reducing crossterms of WVD (Wigner-Ville distribution). The algorithm of parameter estimation is also simplified. So they have better performance than adaptive Gaussian kernel. Simulation results demonstrate the validity of this method.