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针对天波超视距雷达杂波呈现非均匀非平稳分布的特性以及由虚假杂波多而带来的虚假航迹多等问题,在Viterbi算法中引入了自适应杂波密度模型,在此基础上提出了一种基于自适应杂波密度模型的Viterbi数据关联算法(ACM-VDA).仿真结果表明,与VDA算法及VDA-AI算法相比,ACM-VDA算法大大降低了虚假航迹的条数.
Aiming at the characteristics of non-uniform and non-stationary clutter of sky-wave over-the-horizon radar and the false multipath caused by many false clutters, an adaptive clutter density model is introduced into Viterbi algorithm. Based on this, A Viterbi data association algorithm (ACM-VDA) based on adaptive clutter density model is proposed.The simulation results show that compared with the VDA algorithm and the VDA-AI algorithm, the ACM-VDA algorithm greatly reduces the number of false tracks.