At present, the low measurement accuracy of a single MEMS gyroscope mainly restricts the wide application of MEMS gyroscopes in aerospace, automotive, weapon guidance and other fields. However, it is difficult to rapidly improve the accuracy of a single gyroscope based on the current process and technical level. This paper studies how to use low accuracy MEMS gyroscope to obtain high accuracy navigation information through array technology and data fusion algorithm. Firstly, several similar gyroscopes with matching key parameters are combined to form a virtual gyroscope by array technology. Then, the multi-input system is fused by filtering method to give an optimal estimation value, so as to achieve the purpose of improving the sensor accuracy with the help of quantity. Finally, experimental verification is carried out. The verification results of simulation data and measured data show that the redundant gyroscope based on array technology can reduce the slow drift in the gyroscope and improve the angular velocity measurement accuracy after data fusion through the designed filtering method.