access icon openaccess Radar emitter intrapulse signal blind sorting under modified wavelet denoising

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 25/02/2019, Accepted 08/05/2019, Published 13/08/2019

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.

Inspec keywords: signal denoising; independent component analysis; wavelet transforms; blind source separation; radar signal processing

Other keywords: unknown radar emitter intrapulse signal; blind source separating performance; fast independent component analysis algorithm; radar emitter intropulse signal; received intermediate signals; intrapulse signal analysis; radar emitter intrapulse signal blind sorting; modified wavelet denoising; blind sorting performance

Subjects: Signal processing and detection; Other topics in statistics; Other topics in statistics

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