基于聯(lián)合稀疏性的多視全極化HRRP目標(biāo)識(shí)別方法
doi: 10.11999/JEIT151019
基金項(xiàng)目:
國(guó)家自然科學(xué)基金(61471370, 61401479)
Multi-view Polarization HRRP Target Recognition Based on Joint Sparsity
Funds:
The National Natural Science Foundation of China (61471370, 61401479)
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摘要: 該文考慮利用連續(xù)獲取的多視全極化高分辨距離像(High Range Resolution Profile, HRRP)進(jìn)行目標(biāo)識(shí)別的問(wèn)題。多視全極化HRRP樣本包含了3個(gè)層次的先驗(yàn)信息：樣本內(nèi)各分量來(lái)自同一目標(biāo)；單視內(nèi)4種極化組合方式下的HRRP均對(duì)應(yīng)相同的目標(biāo)姿態(tài)；相同極化方式下的多視觀測(cè)是相關(guān)的。為有效利用上述信息進(jìn)行目標(biāo)識(shí)別，該文提出一種基于聯(lián)合稀疏表示的多視全極化HRRP目標(biāo)識(shí)別方法。該方法約束各分量對(duì)應(yīng)的稀疏表示系數(shù)共享原子級(jí)的稀疏模式。原子級(jí)稀疏約束使得從各極化字典中選擇來(lái)自相同姿態(tài)的字典原子對(duì)樣本中各分量進(jìn)行稀疏表示，可以有效利用上述3個(gè)層次的先驗(yàn)信息進(jìn)行目標(biāo)識(shí)別。利用目標(biāo)電磁散射數(shù)據(jù)對(duì)所提方法進(jìn)行了驗(yàn)證，結(jié)果表明，該方法具有較好的識(shí)別性能，并且對(duì)噪聲具有良好的魯棒性。
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關(guān)鍵詞:
- 雷達(dá)目標(biāo)識(shí)別 /
- 多視 /
- 全極化 /
- 高分辨距離像 /
- 聯(lián)合稀疏表示
Abstract: The issue of automatically recognizing a target from its Full-Polarization High Range Resolution Profiles (FPHRRPs) with consecutive observations is considered. The prior information contained in a multi-view FPHRRP sample is hierarchical: all the entries contained in the sample are originated from the same target; the entries within a single view are associated with the same target pose; the multiple views under the same polarization mode are correlated. To utilize efficiently the prior information for target recognition, a novel joint sparse representation based multi-view FPHRRPs target recognition method is proposed. The presented method assumes all the entries within a multi-view FPHRRP sample share a common sparsity pattern in their sparse representation vectors at atom-level, which has the advantage of exploiting the aforementioned information to enhance recognition performance. Experiments are conducted using a synthetic vehicle target dataset. The results show that the proposed method achieves promising recognition accuracy and it is robust with respect to noisy observations. -
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