導(dǎo)向矢量和協(xié)方差矩陣聯(lián)合迭代估計(jì)的穩(wěn)健波束形成算法

楊志偉; 張攀; 陳穎; 許華健

doi:10.11999/JEIT180225

導(dǎo)向矢量和協(xié)方差矩陣聯(lián)合迭代估計(jì)的穩(wěn)健波束形成算法

doi: 10.11999/JEIT180225 cstr: 32379.14.JEIT180225

楊志偉^{1, 2, ,},
張攀¹,
陳穎¹,
許華健¹

1.
西安電子科技大學(xué)雷達(dá)信號(hào)處理國家重點(diǎn)實(shí)驗(yàn)室 ??西安 ??710071
2.
西安電子科技大學(xué)信息感知協(xié)同創(chuàng)新中心 ??西安 ??710071

基金項(xiàng)目: 國家自然科學(xué)基金(61671352)，國家青年科學(xué)基金(61501471)，上海航天科技創(chuàng)新基金(SAST2016027，SAST2016033)，教育部“認(rèn)知無線電與信息處理”重點(diǎn)實(shí)驗(yàn)室基金(CRKL160206)

詳細(xì)信息

作者簡(jiǎn)介:
楊志偉：男，1980年生，副教授，主要研究方向?yàn)殛嚵行盘?hào)處理、地面動(dòng)目標(biāo)檢測(cè)、極化處理

張攀：男，1993年生，碩士生，研究方向?yàn)殛嚵行盘?hào)處理

陳穎：女，1993年生，碩士生，研究方向?yàn)殛嚵行盘?hào)處理

許華健：男，1990年生，博士生，研究方向?yàn)榭諘r(shí)自適應(yīng)處理、合成孔徑雷達(dá)動(dòng)目標(biāo)檢測(cè)

通訊作者:
楊志偉　 yangzw@xidian.edu.cn

中圖分類號(hào): TN911.7
計(jì)量
- 文章訪問數(shù): 2623
- HTML全文瀏覽量: 832
- PDF下載量: 95
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2018-03-09
- 修回日期: 2018-07-24
- 網(wǎng)絡(luò)出版日期: 2018-08-06
- 刊出日期: 2018-12-01

Steering Vector and Covariance Matrix Joint Iterative Estimations for Robust Beamforming

Zhiwei YANG^{1, 2
, ,},
Pan ZHANG¹,
Ying CHEN¹,
Huajian XU¹

1.
National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
2.
Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi’an 710071, China

Funds: The National Natural Science Foundation of China (61671352), The National Science Foundation for Young Scientists of China (61501471), Shanghai Aerospace Science and Technology Innovation Foundation (SAST2016027, SAST2016033), The Foundation of Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education (CRKL160206)

摘要

摘要: 針對(duì)自適應(yīng)波束形成器在目標(biāo)導(dǎo)向矢量存在約束偏差時(shí)性能急劇下降的問題，該文提出一種目標(biāo)導(dǎo)向矢量和干擾噪聲協(xié)方差矩陣聯(lián)合迭代估計(jì)的穩(wěn)健波束形成算法。該算法首先采用稀疏重構(gòu)的方法得到目標(biāo)導(dǎo)向矢量的初始值，并通過從采樣協(xié)方差矩陣中剔除目標(biāo)信號(hào)估計(jì)值完成干擾加噪聲協(xié)方差矩陣的初始化；然后在建立導(dǎo)向矢量誤差優(yōu)化模型的基礎(chǔ)上，采用凸優(yōu)化方法對(duì)目標(biāo)導(dǎo)向矢量和干擾加噪聲協(xié)方差矩陣聯(lián)合迭代求解。最后利用目標(biāo)導(dǎo)向矢量和干擾加噪聲協(xié)方差矩陣的穩(wěn)態(tài)估計(jì)值獲得自適應(yīng)權(quán)矢量。仿真結(jié)果表明該算法提高了波束形成器在目標(biāo)導(dǎo)向矢量約束偏差時(shí)的輸出信干噪比。
- 自適應(yīng)波束形成 /
- 導(dǎo)向矢量約束偏差 /
- 聯(lián)合迭代 /
- 凸優(yōu)化
Abstract: Focusing on the problem of adaptive beamformer performance decreasing due to target steering vector constraint errors, an algorithm for robust beamforming with joint iterative estimations of steering vector and covariance matrix is proposed. First, the initial value of target steering vector is obtained by sparse reconstruction, following eliminating the target signal estimation in the sampling covariance matrix, the initialization of the covariance matrix is completed; Then, basing on the steering vector error optimization model, this algorithm adopts the convex optimization to estimate joint-iteratively target steering vector and interference plus noise covariance matrix. Finally, the adaptive weight vector is obtained with the steady estimations of steering vector and covariance matrix. Simulation results show output signal to interference and noise ratio is improved in the situation of target steering vector constraint errors.
- Adaptive beamforming /
- Steering vector constraint errors /
- Joint iteration /
- Convex optimization

HTML全文

圖 1 聯(lián)合迭代估計(jì)流程圖

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圖 2 目標(biāo)來波方向誤差下性能對(duì)比

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圖 3 目標(biāo)來波方向誤差和陣元位置誤差下性能對(duì)比

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圖 4 目標(biāo)來波方向誤差和幅度相位誤差下輸出SINR隨輸入SNR變化曲線

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