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An efficient interference mitigation approach for NavIC receivers using improved variational mode decomposition and wavelet packet decomposition
Transactions on Emerging Telecommunications Technologies ( IF 2.5 ) Pub Date : 2021-03-01 , DOI: 10.1002/ett.4242 Kambham Jacob Silva Lorraine 1 , Madhu Ramarakula 1
Transactions on Emerging Telecommunications Technologies ( IF 2.5 ) Pub Date : 2021-03-01 , DOI: 10.1002/ett.4242 Kambham Jacob Silva Lorraine 1 , Madhu Ramarakula 1
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Reliable positioning, timing, and navigation services have become vitally important in safety and security applications. Hence, the need for Global Navigation Satellite Systems (GNSS) is growing continually. However, Continuous Wave Interference (CWI) was found to be one of the major potential threats of GNSS systems which degrades the receiver's performance. So, in this paper, a new approach using Improved Variational Mode Decomposition and Wavelet Packet Decomposition (IVMD‐WPD) has been proposed to mitigate CWI in NAVigation with Indian Constellation (NavIC) receivers. Although VMD is considered as an excellent signal analysis tool in decomposing non‐stationary and complex signals, the accuracy of the decomposition results depends upon the parameter setting. To address this, firstly, Normalized Kurtosis Energy Ratio (nKER) evaluation index is constructed. Then, the principle of nKER maximum is implemented to find the optimal parameters of VMD. Using the optimized parameters, the received signal is decomposed by IVMD into sub‐signals. Secondly, the mutual information index is introduced to extract the information dominant modes. The extracted modes are then processed by wavelet packet filter and finally, the desired signal is reconstructed. The proposed IVMD‐WPD method not only reduces the jamming efficiently but also overcomes the limitations of VMD. Moreover, by integrating IVMD with wavelet packet filter, the remaining effects of jamming and noise present in desired modes can be filtered thereby enhancing the performance. Simulation results reveal that the proposed method performs better in comparison with the conventional techniques in case of a single tone, multi‐tone, and chirp jamming environments.
中文翻译：
使用改进的变分模式分解和小波包分解的NavIC接收机有效的干扰缓解方法
可靠的定位，定时和导航服务在安全和安保应用中已变得至关重要。因此，对全球导航卫星系统（GNSS）的需求正在不断增长。但是，发现连续波干扰（CWI）是GNSS系统的主要潜在威胁之一，它降低了接收机的性能。因此，在本文中，提出了一种使用改进的变分模式分解和小波包分解（IVMD-WPD）的新方法来减轻印度星座（NavIC）接收机在NAVigation中的CWI。尽管VMD被认为是分解非平稳和复杂信号的出色信号分析工具，但分解结果的准确性取决于参数设置。为了解决这个问题，首先，标准化峰度能量比（构建了nKER）评估指标。然后，nKER的原理实现最大值以找到VMD的最佳参数。使用优化的参数，IVMD将接收到的信号分解为子信号。其次，引入互信息索引以提取信息优势模式。然后，提取的模式通过小波包滤波器进行处理，最后，重构出所需的信号。提出的IVMD-WPD方法不仅有效地减少了干扰，而且克服了VMD的局限性。此外，通过将IVMD与小波包滤波器集成在一起，可以滤除所需模式中存在的干扰和噪声的其余影响，从而提高性能。仿真结果表明，在单音，多音和线性调音干扰环境下，该方法与传统技术相比具有更好的性能。
更新日期：2021-04-05
中文翻译：
使用改进的变分模式分解和小波包分解的NavIC接收机有效的干扰缓解方法
可靠的定位，定时和导航服务在安全和安保应用中已变得至关重要。因此，对全球导航卫星系统（GNSS）的需求正在不断增长。但是，发现连续波干扰（CWI）是GNSS系统的主要潜在威胁之一，它降低了接收机的性能。因此，在本文中，提出了一种使用改进的变分模式分解和小波包分解（IVMD-WPD）的新方法来减轻印度星座（NavIC）接收机在NAVigation中的CWI。尽管VMD被认为是分解非平稳和复杂信号的出色信号分析工具，但分解结果的准确性取决于参数设置。为了解决这个问题，首先，标准化峰度能量比（构建了nKER）评估指标。然后，nKER的原理实现最大值以找到VMD的最佳参数。使用优化的参数，IVMD将接收到的信号分解为子信号。其次，引入互信息索引以提取信息优势模式。然后，提取的模式通过小波包滤波器进行处理，最后，重构出所需的信号。提出的IVMD-WPD方法不仅有效地减少了干扰，而且克服了VMD的局限性。此外，通过将IVMD与小波包滤波器集成在一起，可以滤除所需模式中存在的干扰和噪声的其余影响，从而提高性能。仿真结果表明，在单音，多音和线性调音干扰环境下，该方法与传统技术相比具有更好的性能。
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