基于空頻分解信號(hào)子空間向量的時(shí)間反演成像

鐘選明; 李軍野; 廖成

doi:10.11999/JEIT160272

基于空頻分解信號(hào)子空間向量的時(shí)間反演成像

doi: 10.11999/JEIT160272

基金項(xiàng)目:

國(guó)家自然科學(xué)基金委和中國(guó)工程物理研究院聯(lián)合基金(U1330109)

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- 文章訪問(wèn)數(shù): 1196
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2016-03-21
- 修回日期: 2016-08-17
- 刊出日期: 2017-02-19

Time Reversal Imaging Algorithm Based on Signal-subspaceVectors from the Spatial-frequency Decomposition

Funds:

The United Fund of National Natural Science Foundation of China and China Academy of Engineering Physics (U1330109)

摘要

摘要: 論文提出基于空頻分解信號(hào)子空間向量的時(shí)間反演成像新方法。利用天線陣列采集的散射場(chǎng)數(shù)據(jù)建立空頻矩陣，奇異值分解該矩陣得到信號(hào)子空間向量，以此實(shí)現(xiàn)對(duì)目標(biāo)的選擇性成像?；谕耆⑸鋱?chǎng)數(shù)據(jù)的成像偽譜包含多個(gè)子向量貢獻(xiàn)，相當(dāng)于多次成像疊加，具有統(tǒng)計(jì)特性。新方法既避免了傳統(tǒng)的空空分解時(shí)間反演算法產(chǎn)生的隨機(jī)相位的影響，又具有較好的抗干擾性能，即使疊加信噪比10 dB的高斯白噪聲，也能實(shí)現(xiàn)對(duì)多個(gè)目標(biāo)的準(zhǔn)確成像。
- 時(shí)間反演成像 /
- 空頻成像 /
- 空頻分解 /
- 空頻多態(tài)響應(yīng)矩陣
Abstract: Basing on the signal-subspace vectors from the spatial-frequency decomposition, a novel time-reversal imaging algorithm is proposed. Using the backscattered data recorded by the antenna array, a spatial-frequency multistatic matrix is set up. Singular value decomposition is applied to the matrix to obtain the signal-subspace vectors, which are employed to focus the targets imaging selectively. The imaging pseudo-spectrum based on the full backscattered data includes the contributions of multiple sub-vectors and can be viewed as the superposition of multiple images. The algorithm is statistically stable. The random phases, generated by the conventional time-reversal imaging method based on the spatial-spatial decomposition, do not arise in the algorithm. It has excellent capability to resist the noise interference and can accurately focus the multi-targets even when noise with 10 dB SNR is added to the measured data.
- Time-reversal imaging /
- Spatial-frequency imaging /
- Spatial-frequency decomposition /
- Spatial-frequency multistatic matrix

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參考文獻(xiàn)(16)

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