Phase Improvement Algorithm for NLFM Waveform Design to Reduction of Sidelobe Level in Autocorrelation Function

TL;DR

This paper introduces a phase improvement algorithm for NLFM waveform design that significantly reduces sidelobe levels in autocorrelation functions across various window types, enhancing radar signal clarity.

Contribution

The paper presents a novel phase improvement algorithm that reduces sidelobe levels in NLFM signals beyond the stationary phase method, applicable to multiple window types.

Findings

Average sidelobe level reduction of about 5 dB.

Significant decrease in peak sidelobe levels in simulations.

Effective iterative minimization of error values.

Abstract

In this paper, a phase improvement algorithm has been developed to design the nonlinear frequency modulated (NLFM) signal for the four windows of Raised-Cosine, Taylor, Chebyshev, and Kaiser. We have already designed NLFM signal by stationary phase method. The simulation results for the peak sidelobe level of the autocorrelation function in the phase improvement algorithm reveal a significant average decrement of about 5 dB with respect to stationary phase method. Moreover, to evaluate the efficiency of the phase improvement algorithm, minimum error value for each iteration is calculated.