The efficient adaptive control of sampling interval is important for radar resource allocation, especially in maneuvering target tracking scenarios. This paper presents a novel algorithm optimized for tracking highly maneuverable near space hypersonic gliding vehicles (NSHGV) with an adaptive sampling control scheme based on interactive multiple model (IMM). The algorithm dynamically adjusts the sample interval during the maneuver periods of NSHGV and achieves a balance between tracking accuracy and resource consumption. Simulation results on a typical NSHGV target show that the proposed algorithm obtains better overall tracking performance than fixed sampling IMM and the existing adaptive sampling methods.