In response to the issues of low accuracy

poor stability

and severe divergence in navigation information solution for consumer-grade micro-inertial measurement unit(MIMU)

a weighted average algorithm for MIMU array data fusion is proposed.First

the circuit module of the MIMU array is designed; second

a weighted average fusion algorithm model is established for the accelerometers and gyroscopes in the MIMU array

and the weights are calculated and data fusion is achieved; finally

the fused accelerometer and gyroscope data are simulated and evaluated. The test results demonstrate that

compared with a single MIMU

the three-axis bias instability and angular random walk of the gyroscopes in the array MIMU are reduced by 63.4% and 63.1%

respectively

after data fusion

while the data stability is improved by 60.2%.