Constraint Sparse Maximum Correntropy Beamforming Algorithm against Impulsive Noise to Improve the Performance of GNSS Signal Acquisition
المؤلفون المشاركون
المصدر
International Journal of Antennas and Propagation
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-06-18
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
This paper presents the new constraint correntropy beamforming method to improve the performance of global navigation satellite system (GNSS) receivers.
Although beamforming-based GNSS system possesses the ability of nulling interference sources, the distortions to satellite signal induced by impulsive noises are always neglected.
This paper addresses the satellite navigation signal acquisition problem against impulsive noises using the constraint maximum correntropy criterion in framework of the GNSS system.
In addition, in order to decrease the number of active elements for avoiding overmuch energy consumption, we introduce the L1-norm penalty equation to the list of constraints of the adaptive filter that forces the coefficients with small magnitudes to zero.
From the above, we propose the norm-constraint beamforming method to satisfy the conflicting requirements between the coefficients sparsity and the performance of the satellite signal acquisition.
The proposed CSMC maintains the robustness against impulsive outliers and achieve better performance in conjunction with less power consumption.
An analysis of the mean square convergence properties of the proposed algorithms is presented, and the stability condition of the convergence is derived.
Our simulation results demonstrate the superiority of the proposed methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Haichuan& Zeng, Fangling. 2019. Constraint Sparse Maximum Correntropy Beamforming Algorithm against Impulsive Noise to Improve the Performance of GNSS Signal Acquisition. International Journal of Antennas and Propagation،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1157626
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Haichuan& Zeng, Fangling. Constraint Sparse Maximum Correntropy Beamforming Algorithm against Impulsive Noise to Improve the Performance of GNSS Signal Acquisition. International Journal of Antennas and Propagation No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1157626
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Haichuan& Zeng, Fangling. Constraint Sparse Maximum Correntropy Beamforming Algorithm against Impulsive Noise to Improve the Performance of GNSS Signal Acquisition. International Journal of Antennas and Propagation. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1157626
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1157626
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر