A single pulse envelope extraction algorithm based on a pulse model

Abstract

Pulse compression signal is widely used in the field of radar ranging to solve the contradiction between range resolution and operating range. Vector signal analyzer is an important tool for measuring signal modulation quality. The commonly used single-pulse envelope extraction method of neural network has high algorithm complexity and is not suitable for application in the instrument software platform. In this paper, a single pulse envelope extraction method based on a pulse model is proposed. Firstly, the top power, base power, and overall pulse amplitude of the pulse compression signal are determined by using a pulse histogram; Secondly, the ON modulation state, the OFF modulation state, droop, overshoot, and ripple of the pulse model are estimated based on the pulse basic model theory, and the pulse model with waveform distortion is further extracted; Finally, according to the actual pulse model, the single pulse envelope is determined and characterized. The simulation results prove that the root means the square relative error of the parameter estimation results in this paper is less than 1%, which meets the parameter accuracy standard of the vector signal analyzer.