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基于稀疏孔徑的聯(lián)合稀疏約束干涉ISAR機(jī)動(dòng)目標(biāo)三維成像

張榆紅 邢孟道 徐剛

張榆紅, 邢孟道, 徐剛. 基于稀疏孔徑的聯(lián)合稀疏約束干涉ISAR機(jī)動(dòng)目標(biāo)三維成像[J]. 電子與信息學(xué)報(bào), 2015, 37(9): 2151-2157. doi: 10.11999/JEIT150125
引用本文: 張榆紅, 邢孟道, 徐剛. 基于稀疏孔徑的聯(lián)合稀疏約束干涉ISAR機(jī)動(dòng)目標(biāo)三維成像[J]. 電子與信息學(xué)報(bào), 2015, 37(9): 2151-2157. doi: 10.11999/JEIT150125
Zhang Yu-hong, Xing Meng-dao, Xu Gang. Joint Sparsity Constraint Interferometric ISAR Imaging for 3-D Geometry of Maneuvering Targets with Sparse Apertures[J]. Journal of Electronics & Information Technology, 2015, 37(9): 2151-2157. doi: 10.11999/JEIT150125
Citation: Zhang Yu-hong, Xing Meng-dao, Xu Gang. Joint Sparsity Constraint Interferometric ISAR Imaging for 3-D Geometry of Maneuvering Targets with Sparse Apertures[J]. Journal of Electronics & Information Technology, 2015, 37(9): 2151-2157. doi: 10.11999/JEIT150125

基于稀疏孔徑的聯(lián)合稀疏約束干涉ISAR機(jī)動(dòng)目標(biāo)三維成像

doi: 10.11999/JEIT150125

Joint Sparsity Constraint Interferometric ISAR Imaging for 3-D Geometry of Maneuvering Targets with Sparse Apertures

  • 摘要: InISAR系統(tǒng)能夠?qū)崿F(xiàn)對(duì)目標(biāo)的3維幾何估計(jì),更加有利于目標(biāo)的分類和識(shí)別。同時(shí)多功能ISAR/InISAR系統(tǒng)針對(duì)的多是機(jī)動(dòng)性很強(qiáng)的目標(biāo),在某些情況下對(duì)單個(gè)目標(biāo)僅能獲取稀疏孔徑觀測(cè),尤其是在目標(biāo)存在機(jī)動(dòng)特性的情況下,更是增加了ISAR成像的難度,這些對(duì)傳統(tǒng)的ISAR成像算法提出了挑戰(zhàn)。為了解決上述這些問(wèn)題,該文針對(duì)機(jī)動(dòng)目標(biāo)提出一種基于稀疏孔徑的聯(lián)合稀疏約束InISAR 3維成像方法。對(duì)勻加速轉(zhuǎn)動(dòng)的目標(biāo),回波的多普勒調(diào)制可以建模成線性調(diào)頻的形式,并用chirp-傅里葉字典來(lái)表征其機(jī)動(dòng)性。接著將聯(lián)合的多通道InISAR 2維成像轉(zhuǎn)化為聯(lián)合稀疏約束的最優(yōu)化求解問(wèn)題,并用改進(jìn)的OMP算法進(jìn)行求解。然后利用各個(gè)通道估計(jì)的ISAR圖像和調(diào)頻參數(shù)實(shí)現(xiàn)對(duì)目標(biāo)的3維幾何重構(gòu)。相比于單通道獨(dú)立成像,聯(lián)合多通道稀疏約束成像能獲得更好的2維和3維成像結(jié)果。最后,進(jìn)行實(shí)測(cè)數(shù)據(jù)實(shí)驗(yàn)以驗(yàn)證該文算法的有效性。
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出版歷程
  • 收稿日期:  2015-01-22
  • 修回日期:  2015-04-14
  • 刊出日期:  2015-09-19

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