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中文摘要：
针对雷达高分辨距离像的姿态敏感性问题,提出了一种新的分帧方法.首先分析了距离像频谱幅度的统计特性并假设其服从联合高斯分布,之后使用概率主分量分析模型对各个子帧内频谱幅度建模并用期望最大化算法求取模型参数,最后依次合并Kullback-Leibler距离最小的相邻子帧来完成分帧.实测数据的分帧结果与识别率均表明了该分帧方法的有效性.
英文摘要：
To deal with the target-aspect sensitivity of radar High Resolution Range Profiles（HRRP）,a novel frame segmentation method is proposed.Firstly,the statistical characteristic of HRRPs＇ frequency spectrum amplitudes is analyzed and assumed to be joint Gaussian distribution.Then Probabilistic Principle Component Analysis（PPCA） is employed to model each sub-frame and the Expectation Maximization（EM） algorithm is adopted to estimate the model parameters.Finally,the adjacent sub-frames which have the minimum Kullback-Leibler（KL） distance are merged iteratively to finish the frame segmentation.Both segmentation results and recognition performance of measured data verify the effectiveness of this method.
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同项目期刊论文
Adaptive MIMO radar target parameter estimation with Kronecker-product structured interference covar
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Noise Robust Radar HRRP Target Recognition Based on Multitask Factor Analysis With Small Training Da
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