Sparse GLONASS Signal Acquisition Based on Compressive Sensing and Multiple Measurement Vectors

He Guodong; Song Maozhong; Zhang ShanshanSong PengShu Xinwen

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Sparse GLONASS Signal Acquisition Based on Compressive Sensing and Multiple Measurement Vectors

机译：Sparse GLONASS Signal Acquisition Based on Compressive Sensing and Multiple Measurement Vectors

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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.

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《Mathematical Problems in Engineering: Theory, Methods and Applications》 |2020年第35期|9654120.1-9654120.11|共11页
作者
He Guodong; Song Maozhong; Zhang ShanshanSong PengShu Xinwen;
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Nanjing Univ Aeronaut & Astronaut, Coll Elect & Informat Engn, Nanjing 210016, Peoples R China|Anhui Normal Univ, Sch Phys & Elect Informat, Wuhu 241003, Peoples R China;

Nanjing Univ Aeronaut & Astronaut, Coll Elect & Informat Engn, Nanjing 210016, Peoples R China;

Anhui Normal Univ, Sch Phys & Elect Informat, Wuhu 241003, Peoples R ChinaChina Elect Technol Grp Corp, Res Inst 58, Nanjing 210000, Peoples R China;

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Sparse GLONASS Signal Acquisition Based on Compressive Sensing and Multiple Measurement Vectors

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