A Quantization Algorithm in Low Altitude Threaten Space Based on Probabilistic Roadmap

Threat avoidance problem is the core problem of TF/TA system. A convenient and efficient computing method of solving quantitative threaten space in probabilistic roadmaps is shown in this paper. Firstly a computing method of ensuring the scan boundary point of radar and firing point is given in no-considering terrain shading cases. Then on that basis terrain pass view algorithm is used to confirming the radar scanning blind area in the situation of considering the terrain masking. At last a quantization algorithm in low altitude threaten space based on probabilistic roadmap is confirmed. The simulation demonstrates that the algorithm can confirming the radar scanning blind area quickly and efficiently,and this process can improve the survival changes of UCAV in the situation of low-altitude penetration.