有源欺騙干擾環(huán)境下的DOA估計

王珊珊; 劉崢; 謝榮; 冉磊

doi:10.11999/JEIT180488

有源欺騙干擾環(huán)境下的DOA估計

doi: 10.11999/JEIT180488

西安電子科技大學(xué)雷達信號處理國家重點實驗室 ??西安 ??710071

基金項目: 博士后創(chuàng)新人才支持計劃(BX20180240)

詳細信息

作者簡介:
王珊珊：女，1996年生，博士生，研究方向為認(rèn)知雷達信號處理技術(shù)

劉崢：男，1964年生，教授，博士生導(dǎo)師，研究方向為雷達信號處理的理論與系統(tǒng)設(shè)計、雷達精確制導(dǎo)技術(shù)、多傳感器信息融合等

謝榮：男，1982年生，副教授，研究方向為陣列信號處理、雷達天線理論等

冉磊：男，1989年生，博士后，研究方向為雷達成像技術(shù)

通訊作者:
劉崢　lz@xidian.edu.cn

中圖分類號: TN911.7
計量
- 文章訪問數(shù): 2568
- HTML全文瀏覽量: 772
- PDF下載量: 133
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2018-05-21
- 修回日期: 2019-01-08
- 網(wǎng)絡(luò)出版日期: 2019-01-25
- 刊出日期: 2019-05-01

DOA Estimation Under Active Deception Jamming Environment

National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

Funds: The National Postdoctoral Program for Inno-vative Talents(BX20180240)

摘要

摘要:
針對有源欺騙干擾環(huán)境下基于小樣本的DOA估計問題，該文提出自適應(yīng)極化濾波(APF)聯(lián)合塊稀疏貝葉斯學(xué)習(xí)(BSBL)算法的DOA估計方法。首先，通過APF抑制干擾能量，提高信干比。然后，建立有源欺騙干擾環(huán)境下的稀疏貝葉斯模型，基于相鄰快拍相關(guān)性，利用BSBL算法進行DOA估計。仿真和實測數(shù)據(jù)處理結(jié)果表明，所提方法降低了干擾對BSBL算法的影響，且與APF聯(lián)合子空間類算法或最大似然算法(ML)相比，具有更高的空間分辨率和DOA估計精度。
- DOA估計 /
- 抗干擾 /
- 自適應(yīng)極化濾波 /
- 塊稀疏貝葉斯學(xué)習(xí)
Abstract:
For the target DOA estimation under active deception jamming environment with limited samples, a novel DOA estimation method based on the combination of Adaptive Polarization Filter(APF) and Block Sparse Bayesian Learning(BSBL) algorithm is proposed. First, the interference energy is suppressed using APF. Then, the proposed method constructs a sparse Bayesian model under active deception jamming environment. The target DOA is estimated using the BSBL algorithm based on the neighbor time sampling correlation. Simulated and measured data processing results prove that the proposed method reduces the influence of interference on the BSBL algorithm, and has higher spatial resolution and higher angle measurement accuracy, comparing with the method based on the combination of APF and subspace-based DOA algorithms or maximum likelihood DOA algorithm.
- DOA estimation /
- Anti-jamming /
- Adaptive polarization filter /
- Sparse Bayesian learning

HTML全文

圖 1 APF聯(lián)合BSBL算法的測角性能分析

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圖 2 樣本數(shù)為5時DOA估計結(jié)果圖

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圖 3 干擾場景圖

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圖 4 干擾和彈載雷達方位角和仰角分布圖

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圖 5 實測數(shù)據(jù)測角均方根誤差圖

下載: 全尺寸圖片幻燈片

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