Aircraft control, the training process to locate the aircraft attitude and heading information monitoring requires high-precision gesture as a feedback input, application STM32F103T8 processor design a combination of positioning technology and attitude sensor acquisition system. Measurement module with low power consumption, fast response and high accuracy, the use of high precision MEMS devices with 32-bit processors STM32F103T8 good data processing capabilities. For sensor characteristics, extended Kalman filter algorithm is designed based on dual quaternion vector correction method, enhanced anti-jamming capability; characteristics of complex electromagnetic environment, an improved forward linear prediction filtering method, processing the received GPS data, improving positioning accuracy. The results show that the proposed method effectively suppress noise, gesture detection, accurate and fast.