Multimissile Cooperative Guidance Law for Maneuvering Target Interception Based on the ICOA

This paper focuses on multimissile cooperative guidance for intercepting multiple maneuvering targets and proposes a guidance law based on an iterative time-to-go estimation method. Firstly, an evaluation model for target assignment is established, with special emphasis on the multimissile time coordination matching index. The target assignment problem is then formulated as an optimization task and solved using an improved coati optimization algorithm (ICOA), which incorporates chaotic mapping, dynamic weights, and Cauchy mutation to enhance optimization performance. Secondly, by combining biased proportional navigation (BPN) with the iterative time-to-go estimation method, a time-coordinated guidance law applicable to maneuvering targets is developed. By continuously updating the predicted interception time according to real-time target motion, this guidance law extends the applicability of previous approaches, which were originally designed for stationary targets, to scenarios involving highly maneuvering targets without relying on a predefined attack time. Simulation results demonstrate that the ICOA achieves better convergence speed and optimization accuracy than PSO, GWO, and COA. The proposed method also exhibits strong interception performance and coordination precision across various maneuvering target scenarios, validating its effectiveness.