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A Double Dwell High Sensitivity GPS Acquisition Scheme Using Binarized Convolution Neural Network.
- Source :
-
Sensors (Basel, Switzerland) [Sensors (Basel)] 2018 May 09; Vol. 18 (5). Date of Electronic Publication: 2018 May 09. - Publication Year :
- 2018
-
Abstract
- Conventional GPS acquisition methods, such as Max selection and threshold crossing (MAX/TC), estimate GPS code/Doppler by its correlation peak. Different from MAX/TC, a multi-layer binarized convolution neural network (BCNN) is proposed to recognize the GPS acquisition correlation envelope in this article. The proposed method is a double dwell acquisition in which a short integration is adopted in the first dwell and a long integration is applied in the second one. To reduce the search space for parameters, BCNN detects the possible envelope which contains the auto-correlation peak in the first dwell to compress the initial search space to 1/1023. Although there is a long integration in the second dwell, the acquisition computation overhead is still low due to the compressed search space. Comprehensively, the total computation overhead of the proposed method is only 1/5 of conventional ones. Experiments show that the proposed double dwell/correlation envelope identification (DD/CEI) neural network achieves 2 dB improvement when compared with the MAX/TC under the same specification.
Details
- Language :
- English
- ISSN :
- 1424-8220
- Volume :
- 18
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Sensors (Basel, Switzerland)
- Publication Type :
- Academic Journal
- Accession number :
- 29747373
- Full Text :
- https://doi.org/10.3390/s18051482