基于MPDA的波形自适应目标跟踪  

Adaptive waveform selection for target tracking based on MPDA

作　　者：王宏强[1] 夏洪恩[1] 程永强[1] 王璐璐[1] 

机构地区：[1]国防科学技术大学电子科学与工程学院,湖南长沙410073

出　　处：《系统工程与电子技术》2011年第11期2389-2392,共4页Systems Engineering and Electronics

摘　　要：相比于传统雷达系统,感知雷达能够通过对复杂多变的电磁环境感知自适应调整雷达发射波形,以适应当前的环境,实现推理和判决的优化,从而获得系统性能的大幅提升。从感知雷达的思想出发,研究了杂波环境下的波形自适应选择问题,提出了一种基于修正概率数据关联(modified probabilistic data association,MPDA)的波形自适应选择目标跟踪算法。采用MPDA算法建立和更新杂波下目标的航迹,利用修正的Riccati方程估计下一时刻的滤波协方差矩阵,并推导了相应的波形优化准则函数。仿真表明,该算法降低了密集杂波条件下的滤波误差,相比于未采用波形优化的PDA和MPDA算法,显著提高了跟踪性能。Compared with the conventional radar system, cognitive radar with flexible waveform generation is able to adaptively modify their performance to suit a variety of environments. The problem of adaptive waveform selection for target tracking in clutter environment is studied in the view point of cognitive radar. An adaptive waveform selection algorithm based on the modified probabilistic data association algorithm （MPDA） is presented. The method uses MPDA to establish and update the trajectory of targets and adopts the modified Riccati equation as the prediction function, by means of which the waveform selection criterion function is derived. Simulation indicates that this algorithm greatly improves the tracking performance compared with the PDA and MPDA with fixed transmitted waveforms in heavy clutter environment.

关 键 词：感知雷达 波形自适应选择 修正概率数据关联 RICCATI方程 

分 类 号：TN95[电子电信—信号与信息处理]