Hybrid anti‐jamming algorithm for Indian Regional Navigation Satellite System receivers using variational mode decomposition and wavelet packet transform

Abstract

Summary Continuous wave interference has found to be one of the major menaces that deter the performance of the Indian Regional Navigation Satellite System (IRNSS) receivers for seamless positioning and navigation. In this paper, a novel hybrid jamming mitigation method based on variational mode decomposition (VMD) and wavelet packet transform (WPT) has been proposed. VMD is used to decompose the received signal into various components referred to as intrinsic mode functions (IMFs). To have an optimum decomposition of the signal, the mode decomposition number of VMD is determined by employing the kurtosis principle. Then, a threshold based on the mutual information index is constructed to differentiate the information dominant and interference dominant modes. The information dominant modes are then processed by the wavelet packet filter to eliminate the remaining effects of jamming and noise present. Finally, the filtered modes and the retained modes are used to reconstruct the desired signal. The performance of the technique is analyzed in the presence of single‐tone, multitone, and chirp jamming scenarios with different levels of jamming power. The proposed method has been tested by simulations in comparison with the standard algorithms. Results show that the proposed hybrid algorithm outperforms the standard algorithms in reducing the jamming signal effectively.

An efficient approach for anti-jamming in IRNSS receivers using improved PSO based parametric wavelet packet thresholding

“…Some of the most used time-frequency anti-jamming methods in GNSS receivers are Short-Time Fourier Transform (STFT) (Abedi et al, 2018;Ouyang & Amin, 2001), Matched Signal Transform (MST) (Shen & Papandreou-suppappola, 2005), Wigner Ville Distribution (WVD) (Fadaei, 2016), and WT (Chien, 2018;Mosavi et al, 2015Mosavi et al, , 2017Musumeci & Dovis, 2013). In recent years, wavelet-based methods have also been used to mitigate CW jamming (Jagiwala & Shah, 2021;Silva Lorraine & Ramarakula, 2021b, 2021c and outof-band Wi-Fi interference on IRNSS S-band signals . STFT is a windowed-Fourier transform that uses a fixed window; hence, the timefrequency resolution of STFT remains constant.…”

“…The literature reports several detection and mitigation techniques for the suppression of interference in GNSS receivers (Borio, 2021;Fadaei, 2016;Morales-ferre et al, 2019;Silva Lorraine & Ramarakula, 2021a). In addition, many works were done to deal with the interference of IRNSS signals (Dey et al, 2019(Dey et al, , 2021, 2021Silva Lorraine & Ramarakula, 2021b, 2021c. Recently, a new framework for detecting GNSS jamming in moving platforms with a low computational burden was proposed (Sharifi-tehrani et al, 2020).…”

“…Wavelet Transform (WT) is the most prominent TF domain technique that has gained much attention in various applications like image processing (Nisha & Mohideen, 2016), signal processing (El-Dahshan, 2011; X. Zhang et al, 2017), multipath mitigation in GPS receivers (Satirapod & Rizos, 2005), as well as to mitigate various types of interference in GNSS receivers (Chien, 2018;Chien et al, 2017;Mosavi et al, 2015;Musumeci & Dovis, 2013;Silva Lorraine & Ramarakula, 2021b, 2021c. WT is a well-known time scale transform.…”

Threat analysis for space information network based on network security attributes: a review

“…If there is no prior information, blind source separation [141] can be used to recover the original signal through the statistical information of mixed signal. To address the Continuous Wave Interference (CWI) of the Indian Regional Navigation Satellite System (IRNSS), Silva et al [142] proposed a new method based on Variational Mode Decomposition (VMD) and Wavelet Packet Transform (WPT) hybrid anti-jamming algorithm. VMD is used to decompose Intrinsic Mode Functions (IMFs) from the mixed signal.…”