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The paper puts forward a method to calculate the time to go under angular glint noise of radar seeker measurement condition for maneuvering target. Angular glint noise calculation model is founded. The paper deduces an extended Kalman particle filtering algorithm based on particle filtering algorithm and extended Kalman filtering algorithm. Time to go calculation model is founded using filtering results of target motion state, which considers the effect of target maneuvering acceleration. The simulations show that extended Kalman particle filtering algorithm based on maneuvering target current statistical model has good tracking performance under angular glint noise of radar seeker measurement condition for maneuvering target, the time to go has good estimate accuracy.