分?jǐn)?shù)階自相關(guān)和FrFT的LFM信號(hào)參數(shù)估計(jì)

基于分?jǐn)?shù)階自相關(guān)和分?jǐn)?shù)階傅里葉變換的特點(diǎn)，提出了一種LFM信號(hào)檢測與參數(shù)估計(jì)方法。相對(duì)分?jǐn)?shù)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(shù)估計(jì)的二維搜索變?yōu)橐痪S搜索，快速實(shí)現(xiàn)信號(hào)檢測和參數(shù)估計(jì)，在多分量LFM信號(hào)情況下借助“Clean”的方法來抑制強(qiáng)分量對(duì)弱分量的干擾。計(jì)算機(jī)仿真表明了該算法在低信噪比多分量LFM信號(hào)檢測與參數(shù)估計(jì)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.