基于分數階自相關和分數階傅里葉變換的特點，提出了一種LFM信號檢測與參數估計方法。相對分數階傅里葉二維掃描法和匹配傅里葉變換，所提方法將檢測與參數估計的二維搜索變為一維搜索，快速實現信號檢測和參數估計，在多分量LFM信號情況下借助“Clean”的方法來抑制強分量對弱分量的干擾。計算機仿真表明了該算法在低信噪比多分量LFM信號檢測與參數估計中的有效性。In this paper, a fast method for parameters estimation of the multi-component linear frequency modulated (multi-LFM) signal is proposed. The proposed algorithm reduces two-dimensional searches, widely used in the time-frequency based method, FrFT and Chirp Fourier transform, into two one-dimensional searches. With utilizing the discrete FrFT along with Fast Fourier Transform (FFT) algorithm, the proposed method is a computationally fast alternative for LFM signal detection and parameters estimation. Analysis of the multi-LFM signal is performed using the Clean technique. Finally, computer simulations are provided to illustrate performances of the proposed algorithm.