用于多分量線性調(diào)頻信號的自適應(yīng)核分布分析
Analysis of an adaptive Gaussian-kernel time-frequency distribution for LFM signals
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摘要: 該文針對多分量線性調(diào)頻信號,提出了一種新的自適應(yīng)核時頻分布-自適應(yīng)高斯核分布,并給出了有效的核函數(shù)估計準則;以自適應(yīng)高斯核分布為例,分析了采用自適應(yīng)核時頻分布對信號自身項及交叉項的影響,從而說明自適應(yīng)核相對于固定核的優(yōu)勢所在;總結(jié)了基于模糊域自適應(yīng)設(shè)計多分量線性調(diào)頻信號核函數(shù)的一般方法。計算機仿真結(jié)果表明了自適應(yīng)高斯核分布在抑制交叉項并保持較高時頻分辨力方面的有效性。
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關(guān)鍵詞:
- 時頻分布; 核函數(shù); 模糊函數(shù); 線性調(diào)頻信號
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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