中文摘要：

针对雷达高分辨距离像（HRRP）目标识别问题，提出一种最大相关系数投票准则子带融合识别算法。对目标回波进行子带划分，分别进行幂变换预处理获得子带距离像，通过实验证明HRRP不同频段的子带距离像均含有目标信息，可以从中提取特征信息用于目标识别。理论分析表明新算法计算复杂度低，可实际应用于雷达自动目标识别。实验仿真显示，新方法不仅能够利用回波信息提高识别率，还具有拒判功能，可提高目标识别的准确度。

英文摘要：

In order to solve some problems on target recognition based on high-resolution range profile （HRRP）, the complex returned echoes from the target scattering centres are firstly divid- ed into some sub-bands. Then the power transformations are acted on every sub-band and its HRRP is derived respectively. Experiments illustrate that each sub-band HRRP contains target information which could be adopted for target recognition. Thus, a new target recognition algo- rithm based on confused sub-band HRRP, named the largest correlated parameter voting rule, is proposed. The experimental results show that the new algorithm improves the recognition per- formance greatly due to the full utilization of information contained in echoes and its rejection rec- ognition function. The analysis also shows that the algorithm has the low computation complexi- ty which could thus be used for radar automatic target recognition （RATR）.