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In order to reduce the high computational complexity and the number of false targets in strong interference environment, using the distribution characteristics of target measurement plots among multiple sensors and accumulation of target energy, a multi-frame detection algorithm based on measurement plots space clustering is proposed. In the proposed algorithm, homology detection is used to judge the validity of measurement plots from multiple sensors to eliminate clutter/noise firstly. And then, the target energy is accumulated in space and time to detect weak target. The simulation result and performance analysis show that the proposed algorithm can greatly reduce the computational complexity and enhance the ability of false target suppression, and also can improve the detection probability of weak target, so effectiveness and engineering feasibility of the proposed algorithm are verified. [ABSTRACT FROM AUTHOR]