Radar emitter intrapulse signal blind sorting under modified wavelet denoising

Abstract

With the electromagnetic environment becoming more and more complex and the analysis demand of the radar emitter intropulse signal presenting more and more urgent, a modified method of the radar emitter intrapulse signal blind sorting under wavelet denoising is proposed. This study aims to improve the weak adaptability to the noise of the fast independent component analysis (FastICA) algorithm and its blind source separating performance. In this method, a pre-processing of noise based on the modified wavelet denoising is added. Then the FastICA algorithm is used to sort the unknown radar emitter intrapulse signal for the next intrapulse signal analysis. Simulations and analysis indicate that the modified method improves the signal to noise ratio of the received intermediate signals and the blind sorting performance.

Keywords

• wavelet transforms
• independent component analysis
• signal denoising
• blind source separation
• radar signal processing
• radar emitter intrapulse signal blind sorting
• modified wavelet denoising
• radar emitter intropulse signal
• fast independent component analysis algorithm
• blind source separating performance
• unknown radar emitter intrapulse signal
• intrapulse signal analysis
• received intermediate signals
• blind sorting performance