基于塊稀疏的空間碎片群目標(biāo)成像方法
doi: 10.11999/JEIT140509 cstr: 32379.14.JEIT140509
基金項(xiàng)目:
國家自然科學(xué)基金(61231017)和國家自然科學(xué)青年基金(61101249)資助課題
Space Group Debris Imaging Based on Block-sparse Method
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摘要: 針對(duì)星載雷達(dá)空間碎片群目標(biāo)回波無法分離問題,該文利用回波在距離向表現(xiàn)出的塊聚集特性,提出一種基于塊稀疏的高分辨ISAR成像方法?;趬K稀疏壓縮感知理論,通過利用空間碎片群目標(biāo)特性,抽取出各個(gè)碎片的高分辨1維距離像數(shù)據(jù),并結(jié)合平動(dòng)補(bǔ)償和距離多普勒(RD)算法得到各碎片的ISAR像。在小樣本條件下,該方法能夠有效實(shí)現(xiàn)空間碎片的數(shù)據(jù)分離和高分辨ISAR成像。仿真實(shí)驗(yàn)表明,該方法的重構(gòu)精度以及運(yùn)算速度均優(yōu)于非結(jié)構(gòu)類的稀疏ISAR成像方法。
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關(guān)鍵詞:
- 逆合成孔徑雷達(dá)(ISAR) /
- 壓縮感知(CS) /
- 空間碎片群成像 /
- 塊稀疏 /
- 正交匹配追蹤
Abstract: Space debris often appears in the form of groups, and the radar echoes overlap each other along the range direction. Utilizing the block structure, a high resolution space debris imaging method of ISAR is proposed based on the block-sparse Compressed Sensing (CS). This method can get high resolution 1-D range profile of every debris based on the block-sparse CS with the characteristics of space debris, and obtain the ISAR image combined with the translation compensation and the Range Doppler (RD) algorithm. The simulation results illustrate that the proposed method can achieve high resolution ISAR image with less reconstruction error and iterative number compared with the non-structure CS method under limited measurements. -
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