基于酉ESPRIT的多頻帶融合ISAR成像
doi: 10.11999/JEIT180438
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1.
北京理工大學(xué)信息與電子學(xué)院 ??北京 ??100081
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2.
中央民族大學(xué)信息工程學(xué)院 ??北京 ??100081
Unitary ESPRIT Based Multiband Fusion ISAR Imaging
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1.
School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
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2.
School of Information Engineering, Minzu University of China, Beijing 100081, China
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摘要:
多頻帶融合成像可有效提高ISAR成像的距離分辨率。傳統(tǒng)的ESPRIT譜估計(jì)融合算法只利用了復(fù)數(shù)觀測(cè)數(shù)據(jù)本身，而沒(méi)有利用其共軛數(shù)據(jù)。該文提出對(duì)合成復(fù)觀測(cè)數(shù)據(jù)及其共軛的酉ESPRIT法進(jìn)行調(diào)整以實(shí)現(xiàn)基于酉ESPRIT法的多頻帶融合ISAR成像。酉ESPRIT法充分利用復(fù)數(shù)觀測(cè)數(shù)據(jù)信息，更有利于多頻帶融合的頻譜估計(jì)和ISAR成像。針對(duì)多頻帶融合中目標(biāo)散射點(diǎn)越分辨單元徙動(dòng)校正的問(wèn)題，調(diào)整了傳統(tǒng)校正處理的步驟，分別在多頻帶融合前進(jìn)行越距離單元徙動(dòng)校正和融合后進(jìn)行越多普勒單元徙動(dòng)校正，避免了回波中的快時(shí)間頻率-慢時(shí)間耦合項(xiàng)以及時(shí)域相位補(bǔ)償對(duì)頻域融合處理的影響，從而得到效果更好的多頻帶融合ISAR圖像。仿真和實(shí)測(cè)數(shù)據(jù)結(jié)果表明所提方法不但能得到高質(zhì)量的融合ISAR圖像，也具有更優(yōu)的抗噪性能和更高的運(yùn)算效率。
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關(guān)鍵詞:
- ISAR成像 /
- 多頻帶融合 /
- 酉ESPRIT /
- 越分辨單元徙動(dòng)校正
Abstract:Multiband fusion imaging can effectively improve the range resolution of Inverse Synthetic Aperture Radar (ISAR) imaging. The traditional Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) spectral estimation signal fusion algorithm uses only the complex measured data without using their conjugate data. This paper proposes to modify the unitary ESPRIT method, which is based on synthesizing complex observation data and its conjugate data, to achieve unitary ESPRIT based multiband fusion ISAR imaging. The unitary ESPRIT method makes full use of the information of complex observations, which is more beneficial to multiband frequency spectrum estimation and ISAR imaging. Furthermore, for the correction of Migration Through Resolution Cell (MTRC) of scatterers in multiband fusion, the traditional processing flow is adjusted and optimized. The migration through range cell correction and the migration through Doppler cell correction are performed before and after the multiband fusion respectively, which avoids the influence of the fast time frequency - slow time coupling in the echo and the phase compensation on the spectrum fusion processing, thereby a better multiband fusion ISAR image is obtained. Simulation and real data experimental results show that the proposed methods can not only get high quality ISAR images, but also have good antinoise performance and higher computational efficiency.
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