Sparse GLONASS Signal Acquisition Based on Compressive Sensing and Multiple Measurement Vectors
المؤلفون المشاركون
Song, Peng
Zhang, Shanshan
He, Guodong
Song, Maozhong
Shu, Xinwen
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-09-30
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
A sparse global navigation satellite system (GLONASS) signal acquisition method based on compressive sensing and multiple measurement vectors is proposed.
The nonsparse GLONASS signal can be represented sparsely on our proposed dictionary which is designed based on the signal feature.
Then, the GLONASS signal is sensed by a normalized orthogonal random matrix and acquired by the improved multiple measurement vectors acquisition algorithm.
There are 10 cycles of pseudorandom codes in a navigation message, and these 10 pseudorandom codes have the same row sparse structure.
So, the acquisition probability can be raised by row sparse features theoretically.
A large number of simulated GLONASS signal experiments show that the acquisition probability increases with the increase in the measurement vector column dimension.
Finally, the practical availability of the new method is verified by acquisition experiments with the real record GLONASS signal.
The new method can reduce the storage space and energy loss of data transmission.
We hope that the new method can be applied to field receivers that need to record and transmit navigation data for a long time.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
He, Guodong& Song, Maozhong& Zhang, Shanshan& Song, Peng& Shu, Xinwen. 2020. Sparse GLONASS Signal Acquisition Based on Compressive Sensing and Multiple Measurement Vectors. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1202394
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
He, Guodong…[et al.]. Sparse GLONASS Signal Acquisition Based on Compressive Sensing and Multiple Measurement Vectors. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1202394
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
He, Guodong& Song, Maozhong& Zhang, Shanshan& Song, Peng& Shu, Xinwen. Sparse GLONASS Signal Acquisition Based on Compressive Sensing and Multiple Measurement Vectors. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1202394
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1202394
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