宽带跳频TDMA辐射源网群的定位及网群划分方法

Localization and network group division method for broadband frequency hopping-TDMA emitter network groups

为了解决现有方法难以对宽带跳频时分多址(frequency hopping-time division multiple access,FH-TDMA)辐射源网群定位的问题,提出一种仅利用波达方向(direction of arrival,DOA)信息的多站定位及网群划分方法。首先通过模拟滤波对各站接收到的信号进行频段划分,通过基于多相滤波的数字信道化方法把信号输出到多个信道中;然后通过直接定位(direct position determination,DPD)算法计算得出各时隙辐射源的位置;最后先通过不同参数的基于密度的噪声应用空间聚类(density-based spatial clustering of applications with noise,DBSCAN)算法选择出最佳的辐射源定位结果,再根据提出的基于先验信息的改进K-means聚类算法进行网群划分。所提方法实现了采样率和信号处理速率的降低,且无需站间严格的时间同步。结果表明,所提方法有效估计出了辐射源的数量、位置,以及网群划分情况。

To solve the problem that the existing methods are difficult to locate the broadband frequency hopping-time division multiple access(FH-TDMA)emitter network groups,a multi-station localization and network group division method using only direction of arrival(DOA)information is presented.Firstly,the signal received by each station is divided into several frequency bands by analog filter,and the signal is output to multiple channels by digital channelization method based on polyphase filtering.Then,the emitter locations of each time-slot are calculated by direct position determination(DPD)algorithm.Finally,the best emitter location results are obtained by density-based spatial clustering of applications with noise(DBSCAN)algorithm with different parameters,and then the network group is divided according to the improved K-means clustering algorithm based on prior information.The proposed method reduces the sampling rate and signal processing rate,and does not require strict time synchronization between stations.The results show that the proposed method can effectively estimate the number and location of emitters and the network group division state.