To advance the vehicle setting accuracy, mixed navigation system emerges as the times require. The keystone of mixed navigation research is how to make use of multi-sensor's locator data effectively. Multi-sensor data fusion technology is an innovation for data processing developed recently, and data fusion method research is paid close attention to generally. The classical linearity least-squares estimation is linearity unbiased and its variance identity. This paper presented a mixed navigation system data fusion method based on least-square estimation, which focused on multi-positioning system's sense data. And it also demonstrated its effectiveness of algorithm through emulation counting.
['Chen Yun', 'Wang Jijing']
Algorithmic Research of Data Fusion in Mixed Navigation System Based on Least-Square Method