基本信息
张冰尘  男  博导  中国科学院空天信息创新研究院
电子邮件： zhangbc@aircas.ac.cn
通信地址： 北京市海淀区中关村北一条9号科电大厦
邮政编码： 100190

招生信息

   
招生专业
081002-信号与信息处理
招生方向
微波遥感与雷达技术，稀疏信号处理

教育背景

2012-03--2017-01   中国科学院电子学研究所   博士
1996-09--1999-07   中国科学院电子学研究所   硕士
1991-09--1996-07   中国科学技术大学   学士

工作经历

2005-04--今             中国科学院电子学研究所 研究员
1999-07--2005-04   中国科学院电子学研究所 副研究员

近三年申请专利

（1） 一种稀疏SAR成像自适应稀疏度估计方法、装置, 发明, 2019, 第 1 作者, 专利号: 201910439082.2
（2） 全极化差分SAR层析的目标重构方法, 发明, 2018, 第 1 作者, 专利号: 201810705723.X


专利成果
[1] 张冰尘, 杨牡丹, 焦念刚, 洪文. 全极化差分SAR层析的目标重构方法. CN: CN108627835B, 2021-07-27.

[2] 张冰尘, 刘鸣谦, 徐志林, 魏中浩, 吴一戎. 一种稀疏SAR成像自适应稀疏度估计方法、装置. CN: CN110133651B, 2021-04-06.

[3] 刘鸣谦, 张冰尘, 徐仲秋, 张严, 吴一戎. 适用于非理想天线方向图的方位向多通道SAR模糊抑制方法. CN: CN112099007A, 2020-12-18.

[4] 张冰尘, 魏中浩, 毕辉, 吴一戎. 合成孔径雷达稀疏成像方法. CN: CN105842699B, 2019-04-23.

[5] 吴一戎, 全相印, 张冰尘, 高超, 吕鸣. 基于基追踪去噪的远场宽带RCS数据采集与压缩方法. 中国: CN106199524B, 2018-10-26.

[6] 全相印, 张冰尘, 吴一戎, 高超, 吕鸣. 基于基追踪去噪的近场宽带RCS数据采集与压缩方法. 中国: CN106093875B, 2018-10-23.

[7] 张冰尘, 魏中浩, 吴一戎. 基于广义最小最大凹惩罚的SAR成像方法. 中国: CN108152819A, 2018-06-12.

[8] 毕辉, 张冰尘, 魏中浩, 洪文, 吴一戎. 一种适用于恒虚警率检测的稀疏微波成像方法. 中国: CN106093944B, 2018-05-22.

[9] 魏中浩, 张冰尘, 吴一戎. 宽角合成孔径雷达的成像方法及装置. 中国: CN107817492A, 2018-03-20.

[10] 张冰尘, 麦超云, 孙进平, 毕辉, 洪文. 一种基于稀疏频率的雷达通信波形设计方法. 中国: CN104794264B, 2017.11.03.

[11] 张冰尘, 全相印, 洪文, 吴一戎. 一种基于反投影算子的快速成像方法. 中国: CN105068071B, 2017-10-03.

[12] 张柘, 全相印, 张冰尘, 洪文, 吴一戎. 基于PhaseLift自聚焦算法的稀疏微波成像方法. 中国: CN104808205B, 2017-09-29.

[13] 吴一戎, 全相印, 张冰尘, 张柘. 基于l q 正则化的偏置相位中心天线成像方法. 中国: CN105929397A, 2016-09-07.

[14] 洪文, 张群, 陈怡君, 罗迎, 张冰尘, 蒋成龙, 毕辉. 变PRF条件下雷达目标微动特征提取的方法. 中国: CN105891798A, 2016-08-24.

[15] 张冰尘, 王欢, 孙进平, 洪文, 蒋成龙, 毕辉. 基于稀疏表示的多传感器航迹融合方法. 中国: CN105825239A, 2016-08-03.

[16] 洪文, 张群, 顾福飞, 罗迎, 蒋成龙, 张冰尘. 空频域二维稀疏的步进频率SAR成像方法. 中国: CN104749573A, 2015-07-01.

[17] 张柘, 张冰尘, 赵曜, 洪文, 吴一戎. 一种基于相位恢复的稀疏微波成像自聚焦方法及装置. 中国: CN104749571A, 2015-07-01.

[18] 张冰尘, 方健, 蒋成龙, 洪文, 吴一戎, 徐宗本. 稀疏合成孔径雷达多视成像方法. 中国: CN104714230A, 2015-06-17.

[19] 洪文, 胡昊, 柳彬, 张增辉, 张冰尘, 蒋成龙. 基于退化滤波器-加权最大似然估计的雷达图像边缘提取方法. 中国: CN104657998A, 2015-05-27.

[20] 张冰尘, 全相印, 张拓, 蒋成龙, 吴一戎. 基于压缩相位恢复的稀疏微波成像方法. 中国: CN104459695A, 2015-03-25.

[21] 赵曜, 张冰尘, 洪文, 吴一戎. 一种基于在线观测的稀疏微波成像方法. 中国: CN103760559A, 2014.04.30.

[22] 全相印, 张冰尘, 蒋成龙, 赵曜, 张柘, 吴一戎. 一种基于稀疏度估计的分维度阈值迭代稀疏微波成像方法. 中国: CN104251991A, 2014-12-31.

[23] 毕辉, 蒋成龙, 王万影, 张冰尘, 洪文. 一种基于相关系数的层析SAR成像的航迹分布优化方法. 中国: CN104199032A, 2014-12-10.

[24] 蒋成龙, 赵曜, 张冰尘, 洪文. 确定稀疏微波成像方位向采样序列的方法. 中国: CN104142500A, 2014-11-12.

[25] 赵曜, 毕辉, 张冰尘. 获得稀疏微波成像相变图的方法. 中国: CN103983960A, 2014-08-13.

[26] 张冰尘, 王万影, 毕辉, 赵曜, 蒋成龙, 洪文. 基于压缩多信号分类的层析合成孔径雷达测量树高的方法. 中国: CN103969645A, 2014-08-06.

[27] 吴一戎, 洪文, 赵曜, 张冰尘. 一种获取稀疏微波成像雷达信噪比和采样比的方法. 中国: CN103698755A, 2014-04-02.

[28] 洪文, 孙进平, 张玉玺, 张冰尘, 蒋成龙. 压缩感知模拟-信息转换系统及其方法. 中国: CN103684468A, 2014-03-26.

[29] 张冰尘, 洪文, 毕辉, 蒋成龙. 利用压缩感知算法处理神经Spike信号的方法. 中国: CN103632195A, 2014-03-12.

[30] 洪文, 张群, 顾福飞, 罗迎, 吴一戎, 张冰尘, 蒋成龙. 地面运动目标高分辨雷达压缩感知成像的方法. 中国: CN103630899A, 2014-03-12.

[31] 洪文, 向寅, 张冰尘, 吴一戎. 稀疏微波成像观测数据成像的方法. 中国: CN103630893A, 2014-03-12.

[32] 王彦平, 孙进平, 田继华, 蒋成龙, 洪文, 张冰尘. 一种基于迭代自适应方法的频带融合方法及装置. 中国: CN103630878A, 2014-03-12.

[33] 吴一戎, 徐宗本, 方健, 洪文, 张冰尘. 一种多通道合成孔径雷达成像的方法. 中国: CN103630897A, 2014-03-12.

[34] 张冰尘, 孙进平, 田继华, 洪文. 一种基于压缩感知的多径虚像抑制SAR后处理方法. 中国: CN103543451A, 2014-01-29.

[35] 张冰尘, 田继华, 洪文, 孙进平. 基于图形处理器的合成孔径雷达成像方法. 中国: CN103376449A, 2013.10.30.

[36] 张冰尘, 洪文, 吴一戎, 蒋成龙. 一种基于l q 的成像雷达方位模糊抑制方法. 中国: CN103048648A, 2013.04.17.

[37] 洪文, 田继华, 孙进平, 张冰尘. 压缩感知雷达重构方法. 中国: CN103364768A, 2013-10-23.

[38] 张冰尘, 洪文, 吴一戎, 张柘. 装载于慢速平台上的成像雷达的稀疏微波成像方法及装置. 中国: CN103197312A, 2013-07-10.

[39] 张杰, 张冰尘, 洪文, 吴一戎. 一种基于场景块稀疏的稀疏微波成像方法. 中国: CN103149561A, 2013-06-12.

[40] 洪文, 张冰尘, 吴一戎, 田野. 一种基于相变图分析的稀疏微波成像雷达性能评估方法. 中国: CN103048649A, 2013-04-17.

[41] 向寅, 李芳, 洪文, 张冰尘, 吴一戎. 一种基于压缩感知的电磁逆散射成像方法. 中国: CN102955159A, 2013-03-06.

[42] 江海, 张冰尘, 洪文, 吴一戎. 一种基于交叉熵最小化的压缩感知雷达成像方法. 中国: CN102890275A, 2013-01-23.

[43] 吴一戎, 徐宗本, 洪文, 张冰尘, 方健. 基于回波模拟算子的稀疏合成孔径雷达成像方法. 中国: CN102854504A, 2013-01-02.

[44] 徐宗本, 吴一戎, 洪文, 张冰尘, 曾锦山. 基于L 1/2 正则化的合成孔径雷达成像方法. 中国: CN102788977A, 2012-11-21.

[45] 张冰尘, 江海, 洪文, 吴一戎. 一种压缩感知成像雷达参数的方法. 中国: CN102375137A, 2012-03-14.

[46] 吴一戎, 张冰尘, 洪文, 林月冠. 一种多通道或多时相雷达成像方法. 中国: CN102253384A, 2011.11.23.

[47] 吴一戎, 洪文, 张冰尘, 王彦平, 李道京. 稀疏微波成像方法. 中国: CN102221696A, 2011.10.19.

[48] 孙进平, 田继华, 张冰尘, 洪文. 一种基于压缩感知理论的多普勒解模糊处理方法. 中国: CN101975939A, 2011.02.16.

[49] 洪文, 吴一戎, 张冰尘, 王彦平, 林赟. 一种稀疏微波成像处理的模型构建方法. 中国: CN102254054A, 2011-11-23.

[50] 张冰尘, 洪文, 吴一戎, 林月冠. 一种适用于稀疏微波成像的随机噪声雷达的信号处理方法. 中国: CN102207547A, 2011-10-05.

[51] 林月冠, 张冰尘, 洪文. 采用最小均方误差估计的多发多收合成孔径雷达成像方法. 中国: CN102207548A, 2011-10-05.

科研活动

​

科研项目
（ 1 ） 国家重点基础研究发展计划（973）：稀疏微波成像的理论、体制与方法研究, 参与, 国家级, 2010-01--2014-01
（ 2 ） 重点实验室基金 ***多通道***, 主持, 国家级, 2011-07--2012-06
（ 3 ） 863计划 ***海洋**感知**, 主持, 国家级, 2011-07--2012-06
（ 4 ） 基于结构稀疏的宽角合成孔径雷达成像研究, 主持, 国家级, 2016-01--2019-12
（ 5 ） 863计划 ***海洋**感知**, 主持, 国家级, 2015-09--2016-07
（ 6 ） 压缩感知与**研究, 主持, 国家级, 2016-11--2019-09
（ 7 ） xx特征提取, 主持, 国家级, 2019-05--2020-12
（ 8 ） 基于微波视觉的SAR三维成像理论和方法, 参与, 国家级, 2020-01--2024-12
（ 9 ） 城市基础设施三维形变监测的雷达成像模型与方法研究, 参与, 国家级, 2019-01--2023-12
参与会议
（1）Real-Time Data Processing in Sparse SAR Imaging   ICAIT   2019-10-18
（2）Analysis and Suppression of Bias Effect in Sparse SAR imaging   SPIE   2019-09-09
（3）Improved Adaptive Parameter Estimation for Sparse SAR Imaging Based on Complex Image and Azimuth-Range Decouple   IGARSS   2019-07-28
（4）3-D Scattering Center Extraction Based on BPDN for Complex Radar Targets   IGARSS   2019-07-28
（5）Wide Angle SAR Imaging Based on LS-CS-Residual   CoSeRa   2018-09-10
（6）Comparison of raw data based and complex image based sparse SAR imaging methods   CoSeRa   2018-09-10
（7）Multichannel Sliding Spotloght SAR Imaging Based On Sparse Signal Processing   IGARSS   2018-06-22
（8）A Novel Iterative Thresholding Algorithm for Complex Image Based Sparse SAR Imaging   EUSAR   2018-06-05
（9）An Accurate SAR Imaging Method Based on Generalized Minimax Concave Penalty   EUSAR   2018-06-04
（10）基于组稀疏的宽角 SAR 成像   全国雷达年会   2017-11-24
（11）L1 regulation recovered SAR images based interferometric SAR imaging via complex approximated message passing   SPIE Remote Sensing   2017-09-11
（12）Group sparsity based airborne wide angle SAR imaging   SPIE Remote Sensing   2016-09-26
（13）CFAR detection for the complex approximated message passing reconstructed SAR image   CoSeRa   2016-09-19
（14）Lq Regularization Method for Spaceborne SCANSAR and TOPS SAR Imaging   EUSAR   2016-06-06
（15）SAR Imaging of moving target in a sparse scene based on sparse constraints: preliminary experiment results   IGARSS   2015-07-26
（16）Polarimetric SAR tomography of forested areas based on compressive music   IGARSS   2014-07-13
发表著作
（1） 稀疏微波成像导论, Introduction to sparse microwave imaging, 科学出版社, 2018-11, 第 3 作者
（2） 稀疏微波成像应用, Sparse microwave imaging applications, 科学出版社, 2019-01, 第 1 作者


指导学生

已指导学生

寇波  硕士研究生  081002-信号与信息处理  

江海  硕士研究生  081002-信号与信息处理  

耿旻明  硕士研究生  081002-信号与信息处理  

王万影  硕士研究生  085208-电子与通信工程  

卢阳云  硕士研究生  085208-电子与通信工程  

郭宾  硕士研究生  081002-信号与信息处理  

赵克祥  硕士研究生  085208-电子与通信工程  

黎昌硕  硕士研究生  085208-电子与通信工程  

杨力  硕士研究生  081002-信号与信息处理  

吴辰阳  硕士研究生  081002-信号与信息处理  

徐志林  硕士研究生  081002-信号与信息处理  

陈晨  硕士研究生  081002-信号与信息处理  

顾正强  硕士研究生  081002-信号与信息处理  

现指导学生

蒋鹏宇  博士研究生  081002-信号与信息处理  

王伟琪  博士研究生  081002-信号与信息处理  

邵明肖  博士研究生  081002-信号与信息处理  

吴一凡  博士研究生  081002-信号与信息处理  

共同指导学生

已指导学生

张柘       博士研究生  081002-信号与信息处理 

蒋成龙    博士研究生  081002-信号与信息处理 

田野       博士研究生  081002-信号与信息处理 

全相印    博士研究生  081002-信号与信息处理 

毕辉       博士研究生  081002-信号与信息处理

魏中浩    博士研究生  081002-信号与信息处理   

刘鸣谦    博士研究生  081002-信号与信息处理

现指导学生

张严       博士研究生  081002-信号与信息处理    

徐仲秋    博士研究生  081002-信号与信息处理   

李洁       博士研究生  081002-信号与信息处理

周国如   博士研究生  081002-信号与信息处理

高四琳   博士研究生  081002-信号与信息处理

近三年发表论文

（1）Ambiguities Suppression for Azimuth Multichannel SAR Based on L_(2,q) Regularization With Application to Gaofen-3 Ultra-Fine Stripmap Mode，IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021,第2作者

（2）An Accurate Sparse SAR Imaging Method for Enhancing Region-Based Features Via Nonconvex and TV Regularization，IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021,第5作者

（3） From Theory to Application: Real-Time Sparse SAR Imaging, IEEE Transactions on Geoscience and Remote Sensing, 2020, 第 3 作者

（4） Phase Transition Analysis for Compressive Sensing Based DoA Estimation in Automotive Radar, International Radar Symposium, 2020, 第 3 作者

（5） An Accurate SAR Imaging Method Based on Total Variaion & Nonconvex Regularization, EuRAD, 2020, 第 3 作者
（6） Efficient Parameter Estimation for Sparse SAR Imaging Based on Complex Image and Azimuth-Range Decouple, Sensors, 2019, 第 2 作者
（7） Analysis and Suppression of Bias Effect in Sparse SAR imaging, Image and Signal Processing for Remote Sensing XXV, 2019, 第 4 作者
（8） An Improved SAR Imaging Method Based on Nonconvex Regularization and Convex Optimization, IEEE Geoscience and Remote Sensing Letters, 2019, 第 2 作者
（9） A SAR imaging method based on generalized minimax-concave penalty, Science China Information Sciences, 2019, 第 2 作者
（10） Accurate Wide Angle SAR Imaging Based on LS-CS-Residual, Sensors, 2019, 第 2 作者
（11） Comparison of Raw Data-Based and Complex Image-Based Sparse SAR Imaging Methods, Sensors, 2019, 第 2 作者
（12） Improved Adaptive Parameter Estimation for Sparse SAR Imaging Based on Complex Image and Azimuth-Range Decouple, IEEE International Geoscience and Remote Sensing Symposium, 2019, 第 5 作者
（13） 3-D Scattering Center Extraction Based on BPDN for Complex Radar Targets, IEEE International Geoscience and Remote Sensing Symposium, 2019, 第 6 作者
（14） Real-Time Data Processing in Sparse SAR Imaging, ICAIT, 2019, 第 3 作者
（15） 基于深度学习的雷达图像目标识别研究进展, 中国科学:信息科学, 2019, 第 3 作者
（16） 基于 ℓ1 正则化的多通道滑动聚束 SAR 成像, 系统工程与电子技术, 2019, 第 4 作者
（17） 一种基于组稀疏的极化差分 SAR 层析成像方法, 系统工程与电子技术, 2019, 第 2 作者
（18） 基于高斯字典原子稀疏表示的高精度宽角SAR成像方法, 系统工程与电子技术, 2019, 第 4 作者

发表论文
[1] xu zhongqiu, Guoru Zhou, Bingchen Zhang, zhe zhang, Yirong Wu. Sparse regularization method combining SVA for feature enhancement of SAR images. ELECTRONICS LETTERS[J]. 2022, [2] 刘鸣谦, 徐仲秋, 陈天成, 张冰尘, 吴一戎. 基于L1＆TV正则化的低过采样Staggered SAR成像方法. 系统工程与电子技术[J]. 2022, [3] Zhongqiu Xu, Bingchen Zhang, Guoru Zhou, Lihua Zhong, Yirong Wu. Sparse SAR Imaging and Quantitative Evaluation Based on Nonconvex and TV Regularization. REMOTE SENSING[J]. 2021, 13(9): https://doaj.org/article/820149c7b9354273a1f78851700886c8.
[4] Mingqian Liu, Jie Li, Zhe Zhang, Bingchen Zhang, Yirong Wu. Azimuth Ambiguities Suppression for Multichannel SAR Imaging Based on L2,q Regularization: Initial Results of Non-sparse Scenario. 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021)null. 2021, [5] Liu, Mingqian, Zhang, Bingchen, Xu, Zhongqiu, Zhang, Yan, Zhong, Lihua, Wu, Yirong. Ambiguities Suppression for Azimuth Multichannel SAR Based on L-2,L-q Regularization With Application to Gaofen-3 Ultra-Fine Stripmap Mode. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2021, 14: 1532-1544, https://www.webofscience.com/wos/woscc/full-record/WOS:000607810600012.
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