在小波理论的基础上提出了一种新的重频分选检测门限选择算法，并在此基础上对原有的重频分选算法给予改进。原有的重频分选算法检测门限选择单一，不适用于脉冲列分布不均匀的信号环境，该算法克服了这些缺点，不仅适用于脉冲列分布均匀的情况，而且适用于脉冲列分布不均匀的情况。仿真结果表明该算法较传统的CDIF算法对固定PRI形式的雷达脉冲列的分选有较好的效果。

A new algorithm for selecting the detect on threshold in deinterleavig pulse trains problem basing on the wavelet theory is presented. It improves the original algorithm basing on the new detecting thresholds. The original algorithm has only one threshold for all sequences and is not fit for the condition when pulse sequences are distributed unevenly. The new algorithm overcomes these drawbacks of the old algorithm and is not only fit for condition that pulse sequences distributed evenly, but also fit for the condition that pulse sequences are distributed unevenly simulation results show that this algorithm has better characteristics for pulse sequences with constant PRI compared with the original algorithm CDIF.

TN957.52

“十五”武器装备预研项目 4110 10 3 0 40 3