Recognition and parameter estimation of spaceborne synthetic aperture radar pulse repetition interval modulation based on short time modified pulse repetition interval transform

Abstract

The traditional pulse repetition interval (PRI) transform method and modified PRI transform method have a low ability to recognise the complex PRI modulation type adopted in spaceborne synthetic aperture radar systems. To solve this problem, a short-time modified PRI transform (STMPT) method based on the traditional PRI transform method was proposed. The STMPT method converts the one-dimensional representation of PRI estimation results into a time-varying characteristic sensitive (TVCS) matrix of the PRI. Combined with the mathematical models of the four PRI modulation types including PRI fixed, staggered PRI, fast PRI change, and a more elaborated PRI sequence concatenating multiple fast PRI change sequences, the nonzero segment characteristics were obtained by incoherent accumulation and rearrangement of the TVCS matrix. Parameter estimation of the four PRI modulation types was also realised based on the geometrical and statistical characteristics. Finally, the effectiveness and performance of the algorithm were verified by simulation analysis.

Enhanced PRIM recognition using PRI sound and deep learning techniques

“…PRIMs are a significant component of radar signal analysis since they offer crucial insights into the origin of radiation and possible hazards [2][3][4]. PRIMs play a pivotal role in signal processing and serve as a fundamental point of reference for discerning the origin of radiation inside such systems [2].…”