Abstract:

The fractional ambiguity function models with two symmetry inverse rotation angles of linear frequency modulation (LFM) signal, monochromatic signal and polynomial signal are researched. A conclusion is obtained: the fractional ambiguity function models with two symmetry inverse rotation angles of LFM signal and monochromatic signal are always the same. Based on this characteristic, a new method for detecting the signal which has high polynomial based on difference of fractional ambiguity function model is proposed. Experiment using the intelligent pixel-processing (IPIX) data shows that the proposed method has a remarkable advantage in increasing the signal-to-clutter ratio (SCR) and fractional ambiguity function model peak value difference. A proper detective threshold is set by introducing the biparametric constant false alarm rate, which makes the proposed method achieve better effects.