A Double Dwell High Sensitivity GPS Acquisition Scheme Using Binarized Convolution Neural Network

A Double Dwell High Sensitivity GPS Acquisition Scheme Using Binarized Convolution Neural Network

Blog Article

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 read more 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 abc material 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.