Abstract: Satellite carrier phase detection is one of the key methods for achieving accurate positioning.However,in practical applications,satellite signals are often obstructed by trees,high-rise buildings,and random errors,leading to reduced positioning accuracy.To address this issue,this study proposes a novel cycle slip detection algorithm that overcomes the limitations of traditional high-order difference methods in detecting minor cycle slips.The algorithm effectively eliminates errors such as receiver clock bias,satellite clock bias,ionospheric delay,and tropospheric delay through inter-receiver and inter-satellite differencing techniques.Additionally,it employs a mathematical model to fit carrier phase observations,verifying carrier continuity and precisely identifying the location of cycle slips.Experimental results demonstrate that the proposed algorithm can comprehensively detect cycle slips caused by obstructions,exhibits strong anti-interference capabilities,and significantly improves positioning accuracy and reliability.

Key words: satellite positioning, construction positioning, carrier phase measurement