基于预测机制的抗干扰频谱决策算法

Research on Anti-interference Spectrum Decision Algorithm Based on Prediction Machine

立足于军事无线网络抗干扰特性,提出一种有效的动态频谱决策算法,为机会接入或工作过程中回避干扰而进行频谱切换提供依据。基本思想为采用马尔可夫链来描述链路特性,充分利用信号占用信道统计规律的相关性以及不同时间尺度上历史认知信息,学习和更新链路模型参数,从而有效地进行频谱决策。

In order to provide the base for avoiding the interference and switching the spectrum during the processing of communication access or communication,a new dynamic spectrum detection algorithm is proposed in paper according to the anti-interference characteristic of wireless communication network.The idea is to adopt the Markov chain to describe the link characteristic.Its essence is to implement the spectrum detection by studying and updating the parameters of link model with the correlation of the channel statistical pattern and the history cognitive information of different time scales.The simulation result shows that the algorithm proposed in paper can present time-length distribution pattern of the spectrum holes for various states with time-length distribution and time-varying distribution condition,and have the higher detection probability.The research results of this paper can also be applied to radar ECCM design,improve the cognitive ability of radar.