Target ranging via sparse non-uniform short-time fractional Fourier transformation for multi-parameter modulated signal

Abstract

Multi-parameter modulated signal can improve the anti-interception ability yet makes the range extraction of the target inconvenient. To solve the problem, a novel scaling transformation combined with the non-uniform short-time fractional Fourier transformation is proposed to effectively acquire the target range information. Unlike the traditional methods, the influence of the varied carrier frequency is firstly mitigated by the proposed scaling transformation. Then, the error caused by the period-varying is relieved by the sampling conversion in the digital domain. Further, the corresponding dictionary is constructed to accomplish the ranging information searching and extracting. Simulation results show that the proposed method can mitigate the impact of multiple varied parameters on signal processing. The detection error could be reduced by 67.9% after using the proposed method.