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针对常规Hough变换(THT)航迹起始算法采用二元积累的弊端,提出了一种按测量点迹分布概率进行积累的多雷达航迹起始算法。首先把观测空间划分为统一大小的网格,然后根据雷达测量精度计算出观测数据落在每个网格内的概率,进而得到每个网格存在目标的概率,最后的Hough积累采用网格概率进行加权。与常规Hough变换法相比,新算法起始的航迹具有更高的精度和更好的鲁棒性,适合于不同精度雷达的联合航迹起始。仿真结果验证了算法的有效性。
Aiming at the shortcomings of the traditional Hough Transform (THT) track starting algorithm using binary accumulation, a multi-radar track starting algorithm that accumulates according to the distribution of measured spot distribution is proposed. Firstly, the observation space is divided into uniform size grids, and then the probability of the observed data falling within each grid is calculated according to the radar measurement accuracy to obtain the probability of each target existing in each grid. The final Hough accumulation adopts the grid probability Weighted. Compared with the conventional Hough transform method, the initial trajectory of the new algorithm has higher accuracy and better robustness, and is suitable for the start of joint track with different precision radar. Simulation results verify the effectiveness of the algorithm.