ABSTRACT This paper addresses the resource allocation problem for aircraft formation cooperative jamming against networked radar systems (NRS) under terrain occlusion conditions, proposing a jamming decision strategy that integrates terrain occlusion judgement with an improved plant rhizome growth optimiser (IPRGO). By constructing a hybrid terrain model of ‘low‐frequency base + Gaussian peak clusters’ and integrating radar masking angle calculation with the Bresenham line algorithm, rapid line‐of‐sight (LoS) judgement is achieved, effectively identifying the radar's effective detection range. Based on this, a jamming effectiveness evaluation function with the dual objectives of NRS detection probability and localisation probability is established, and a jamming resource allocation optimisation model is constructed by jointly considering jamming beam selection and power allocation. To further enhance solution efficiency and accuracy, the standard plant rhizome growth optimiser (PRGO) is improved by introducing random key encoding, a hybrid search strategy, adaptive temperature regulation and a diversified elite strategy, forming the IPRGO algorithm. Simulation results indicate that the strategy considering terrain occlusion can dynamically allocate jamming resources, avoid power wastage on occluded radars and significantly improve resource utilisation efficiency. The IPRGO algorithm outperforms genetic algorithms (GA), ant colony optimisation (ACO), cuckoo search (CS) and the standard PRGO in reducing detection and localisation probabilities, and it exhibits high computational efficiency with an average computation time per instance of only 0.1841 s, making it suitable for high‐granularity online decision‐making. The strategy proposed in this paper holds promising prospects for engineering application in complex electromagnetic countermeasure environments.
Yang et al. (Thu,) studied this question.