一种利用径向速度信息的改进JPDA算法

为解决边扫描边跟踪多频连续波雷达数据互联问题，提出了一种基于目标径向速度信息的联合概率数据互联（JPDA）算法。该算法通过引入目标径向速度信息，进一步限制进入跟踪门相交区域中的虚假量测数量，并对公共测量值权重系数进行调整，进而改善跟踪精度，缩短计算时间，提高跟踪成功概率。仿真结果表明，径向速度信息的运用使得改进的JPDA算法的跟踪性能得到了显著提高。

Improved JPDA Algorithm Using Radial Velocity Information

To figure out tracking the data association of multiple frequency CW radar while scanning, this paper puts forward an algorithm of joint probabilistic data association （JPDA） based on the target’s radial velocity information, where the number of false measurements falling into the intersection area of the tracking gates is further restricted, and the weight coefficients of common measurements are adjusted by introducing the radial velocity information, thus, improving the tracking precision, shortening the computation time so as to enhance the probability of success. Simulations results show that the tracking performance of JPDA algorithm is improved significantly due to the utilization of the radial velocity information.