%0 Journal Article %T 射频隐身数据链的通信波形参数优化建模<br>An Optimization Model for Communication Waveform Parameters of Radio Frequency Stealth Datalink %A 谢桂辉 %A 田茂 %A 王正海 %A 唐晓庆 %A 李杰 %J 西安交通大学学报 %D 2015 %R 10.7652/xjtuxb201504019 %X 针对数据链在恶劣环境下被截获概率过高的问题,建立了一种基于射频隐身的通信波形参数优化模型。基于环境感知系统得到的通信距离和截获距离等先验知识,该优化模型以原始消息序列长度、编码码率、扩频因子、调制方式和波形分集度为优化参数,以指定距离的通信速率和被截获概率为优化目标,通过归一化和线性加权变换得到总优化目标,最后使用遍历法得到总优化目标的最大值并将对应的通信波形参数作为最优解。仿真结果表明:当载体信息安全等级提高时,优化模型在约束值范围内将通信速率适度降低,将被截获概率从原来的8??6×10-7降低至6??9×10-9;当数据链处于最恶劣的环境时,相同平均通信速率条件下优化后数据链的被截获概率可降低至优化前的1/1 000,大大提高了射频隐身性能。<br>An optimization model for communication waveform parameters based on radio frequency (RF) stealth is proposed to solve the problem of high intercept probability of datalinks in adverse environment. According to the prior knowledge of the communication distance and intercept distance obtained from environmental awareness system, the original message sequence length, channel coding rate, spreading factor, modulation mode and signal diversity are regarded as optimization parameters of the model, and the communication rate and intercept probability at given distance are taken as optimization objectives. The gross optimization objective of the model is generated from these two objectives through normalization and linear weighting. The traversing method is used to find the maximal value of the gross objective, and the corresponding communication parameters are taken as the optimal solution. Simulation results show that when the security level of the carrier information increases, the model decreases the communication rate moderately within the constraint value range, and the intercept probability is decreased from 8??6×10-7 to 6??9×10-9. It is also shown that under the same communication rate level, the intercept probability of the model’s datalink is 1/1 000 of that before optimization in the most adverse environment. Thus, the RF stealth performance improves significantly %K 数据链 %K 射频隐身 %K 通信波形参数 %K 优化模型< %K br> %K datalink %K radio frequency stealth %K communication waveform parameters %K optimization model %U http://zkxb.xjtu.edu.cn/oa/DArticle.aspx?type=view&id=201504019