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| A satellite selection algorithm based on genetic algorithm and BP neural network |
| ZHANG Zhao-Long, WANG Yue-Gang, TENG Hong-Lei, WANG Le |
| 304 Unit,Rocket Force University of Engineering,Xi'an 710025,China |
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Abstract In BDS/GPS combination positioning, it is a very important step to select the satellite combination with the best spatial location. The traditional satellite selection algorithm involves a large number of matrix multiplication and inversion operations, so the calculation is large and the real-time is low. For the problem of rapidly fixing position, the authors, considering the positioning accuracy and real-time requirements, propose a new satellite selection algorithm, which combines the BP neural network and genetic algorithm, and uses the geometric dilution of precision (GDOP) as the basis of judging positioning accuracy. Through the comparison of GDOP and the running time acquired by this algorithm and the method of minimum geometric dilution of precision, it is found that the proposed algorithm can greatly reduce the computational complexity and ensure the positioning accuracy, thus exhibiting good real-time and feasibility.
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Received: 03 January 2017
Published: 20 October 2017
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