针对临近空间高超声速目标检测前跟踪问题，提出了一种基于随机Hough变换的检测前跟踪算法。通过对临近空间高超声速目标量测数据进行误差分析，采用时间-径向距离平面进行随机Hough变换，将量测转换到参数空间，并通过计算分析得到参数空间中进行参数合并时允许误差的选取标准，对目标量测进行积累。通过仿真对算法有效性进行了验证，并将本文算法与标准HT-TBD算法进行了比较分析。仿真结果表明，相比于标准Hough变换，本文算法能够有效减少算法运行时间和虚假航迹数，对临近空间高超声速目标进行有效检测。

Aiming at the Track-Before-Detect (TBD) problem of near space hypersonic target, a kind of track-before-detect algorithm based on Random Hough Transform (RHT) is proposed. By making error analysis to target measurement data, the time-radial distance plane random Hough transform is used to convert measurement to the parameter space. And the selection criterion of parameter space permissible error is obtained by calculation and analysis. Then the target measurement can be accumulated effectively. The algorithm validity is verified by simulation, and the algorithm performance is compared with the algorithm based on Standard Hough Transform (SHT). The simulation results show that, compared with the standard Hough transform, the algorithm in this paper can effectively reduce the algorithm running time and the false track number, and realize effective detection of near space hypersonic target.