관성항법 시스템은 항체의 위치, 속도 및 자세정보를 거의 연속적으로 제공할 수 있는 장점이 있다. 그러나 시간의 경과함에 따라 초기오차가 누적되어 발산하게 되는 단점이 있다. 이로 인하여 실제 적용시에는 매우 고가의 정밀한 자이로와 가속도계가 필요하다. 반면 DGPS는 오차의 누적이나 증가없이 장기간 동안 안정적으로 위치정보를 제공하지만 낮은 데이터 전송률과 도심지역과 칼은 곳에서는 신호의 차단이나 전파방해에 영향을 받는 단점이 있다. 이와 같이 상호보완적인 DGPS와 INS 정보를 통합하여 고 정밀의 속도, 위치 및 자세데이터를 제공할 수 있다. 본 논문은 저가의 IMU의 노이즈와 바이어스를 웨이브렛의 soft thresholding 기법을 이용하여 잡음을 제거하여 성능향상을 시도하였다. 통합알고리즘의 필터는 IS차로 구현하였으며 관측치는 DGPS의 위치정보를 이용하였다.
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