基于Kronecker壓縮感知的寬帶MIMO雷達高分辨三維成像

胡曉偉; 童寧寧; 何興宇; 丁姍姍; 雷騰

doi:10.11999/JEIT150995

基于Kronecker壓縮感知的寬帶MIMO雷達高分辨三維成像

doi: 10.11999/JEIT150995

1.
(空軍工程大學防空反導學院西安 710051) ②(95899部隊酒泉 735018)

基金項目:

國家自然科學基金(61372166, 61571459)，陜西省自然科學基礎研究計劃項目(2014JM8308)

計量
- 文章訪問數(shù): 1545
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2015-09-08
- 修回日期: 2016-01-20
- 刊出日期: 2016-06-19

High-resolution 3D Imaging via Wideband MIMO Radar Based on Kronecker Compressive Sensing

1.
(Air and Missile Defense College, Air Force Engineering University, Xi&rsquo
2.
(Unit 95899 of PLA, Jiuquan 735018, China)

Funds:

The National Natural Science Foundation of China (61372166, 61571459), The Natural Science Basic Research Plan in Shaanxi Province of China (2014JM8308)

摘要

摘要: 在寬帶多輸入多輸出(MIMO)雷達3維成像中，MIMO雷達收發(fā)陣元數(shù)量和空間分布的限制會導致圖像的2維橫向分辨率難以滿足實際需求。該文利用壓縮感知(CS)理論來實現(xiàn)圖像在2維橫向上的超分辨?？紤]到對信號的每一維分別進行超分辨會損失各維間的耦合信息，提出一種基于Kronecker CS(KCS)的2維聯(lián)合超分辨方法；為解決KCS在多維高分辨應用中存儲量大、計算效率低的問題，進一步提出了一種基于低分辨3維圖像先驗信息的降維KCS方法。仿真和實測數(shù)據(jù)實驗驗證了方法的有效性。
- 寬帶MIMO雷達 /
- Kronecker壓縮感知 /
- 單次快拍成像 /
- 高分辨3維成像
Abstract: In the Three Dimension (3D) imaging using a wideband Multiple-Input Multiple-Output (MIMO) radar, the resolution in the two cross-range dimensions is usually not satisfactory in practice, limited by the length of the MIMO radar array. In the paper, the Compressive Sensing (CS) theory is applied to realize the super resolution in the two cross-range dimensions. Firstly, a joint two dimensions super resolution method via Kronecker CS (KCS) is proposed, to avoid losing the coupling information among different dimensions, which will happen when the super resolution is just considered in each dimension separately. Then, in order to solve the problem of huge storing and computing burden in KCS, a dimension reduction method is proposed further by utilizing the prior information of the low resolution 3D image. Finally, the validity of the method is verified with simulated data and real measured data experiments.
- Wideband MIMO radar /
- Kronecker Compressive Sensing (KCS) /
- One single snapshot imaging /
- High- resolution three dimension imaging

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參考文獻(19)

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