本文基于1-D离散小波变换（DWT）提出了一种航迹-航迹关联算法。由于目标航迹数据是非平稳随机序列，因此采用离散小波变换方法分析，利用基于F分布的假设检验模型来描述小波分解高频小波空间与低频尺度空间能量的比率，结合“去相关”方法分别讨论了航迹相关与无关的情形，并给出了一种仿真方法。仿真结果表明算法的有效性和在分辨两条相近航迹方面的优越性。%A novel track-to-track association algorithm based on multiple 1-D discrete wavelet transform (DWT)is proposed in this paper. Since the target track data sequence is actually a non-stationary random process, we utilize discrete wavelet transform to analyze and process it. The ratio of energy in high resolution wavelet space to energy in low resolution scale space is introduced to establish hypothesis test model based on F-distribution. Combining it with decorrelation method we discussed the multi-dimension problem and represented a test method. Computer simulation results show that the algorithm is effective and has a good performance to distinguish two cross tracks.
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