基于宽带雷达HRRP舰船目标长度估计算法
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摘要
针对宽带雷达舰船一维高分辨距离像(high range resolution profile,HRRP)特征提取问题,提出了一种船长特征提取算法。首先,基于雷达舰船跟踪信息估计出姿态角,并提取运动状态特征;其次,根据边界幅度异常变化判断目标是否存在截像;然后,根据相邻相关法对齐目标,并剔除异常的HRRP距离像,采用基于门限分割方法提取目标区域,按照一定的投影准则计算船长。所提出的方法测长精度高,通过实测数据验证表明,自动估计船长平均误差在10%以内,具有较强的工程应用价值。
A length estimating mathod of ship target based on wide-band radar's high range resolution profile(HRRP)is presented.The main process is as follows:firstly,the attitude angle of ship target is estimated based on radar track,and the features of the movement state are extracted;secondly,the integrity of HRRP is judged by the boundary amplitude;then the HRRP is aligned according to the adjacent correlation method,and the abnormal HRRP is removed;Finally,the ship target region of the interest area is segmented,and the ship length is calculated according to certain projection criteria.The method proposed in this paper has a high measuring precision and great engineering application value.The actual data show that the average error of ship length estimated is less than 10%.
A length estimating mathod of ship target based on wide-band radar's high range resolution profile(HRRP)is presented.The main process is as follows:firstly,the attitude angle of ship target is estimated based on radar track,and the features of the movement state are extracted;secondly,the integrity of HRRP is judged by the boundary amplitude;then the HRRP is aligned according to the adjacent correlation method,and the abnormal HRRP is removed;Finally,the ship target region of the interest area is segmented,and the ship length is calculated according to certain projection criteria.The method proposed in this paper has a high measuring precision and great engineering application value.The actual data show that the average error of ship length estimated is less than 10%.
引文
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[11]徐丹蕾,杜兰,王鹏辉,等.采用多任务稀疏学习的雷达HRRP小样本目标识别[J].西安电子科技大学学报,2016,43(2):23-28.XU D L,DU L,WANG P H,et al.Radar HRRP target recognition by utilizing multitask sparse learning with a small training data size[J].Journal of Xidian University,2016,43(2):23-28.
[12]FENG B,CHEN B,LIU H W.Radar HRRP target recognition with deep networks[J].Pattern Recognition,2017,61(1):379-393.
[13]DU L,LIU H W,BAO Z.Radar HRRP statistical recognition based on hypersphere model[J].Signal Processing,2008,88(5):1176-1190.
[14]JIANG Y,LI Y,CAI J J,et al.Robust automatic target recognition via HRRP Sequence based on scatterer matching[J].Sensors,2018,18(2):593-611.
[15]ZHAO F X,LIU Y X,HUO K,et al.Radar HRRP target recognition based on stacked autoencoder and extreme learning machine[J].Sensors,2018,18(1):173-187.
[16]PENG X,GAO X Z,ZHANG Y F,et al.An adaptive feature learning model for sequential radar high resolution range profile recognition[J].Sensors,2017,17(7):1675-1688.
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[18]LI C,BAO W M,XU L P,et al.Clustered multi-task learning for automatic radar target recognition[J].Sensors,2017,17(10):2218-2234.
[19]ZHOU D Y.Radar target HRRP recognition based on reconstructive and discriminative dictionary learning[J].Signal Processing,2016,126(C):52-64.
[20]LIU H W,CHEN B,FENG B,et al.Radar high resolution range profiles target recognition based on stable dictionary learning[J].IET Radar,Sonar and Navigation,2016,10(2):228-237.
[21]DU L,HE H,ZHAN L,et al.Noise robust radar HRRP target recognition based on scatterer matching algorithm[J].IEEE Sensors Journal,2016,16(6):1743-1753.
[22]LI L,LIU Z.Noise-robust HRRP target recognition method via sparse-low-rank representation[J].Electronics Letters,2017,53(24):1602-1604.
[23]HE H,DU L,WANG P,et al.Noise robust recognition method based on scatterer pattern for radar HRRP data[C]∥Proc.of the IEEE International Conference on Acoustics,Speech and Signal Processing,2016:2324-2328.
[24]GUO Y,XIAO H.Pruning support vector data description method for hrrp-based radar target recognition[C]∥Proc.of the International Symposium on Computational Intelligence&Design,2017:330-333.
[25]ZHAI Y,CHEN B,ZHANG H,et al.robust variational auto-encoder for radar HRRP target recognition[C]∥Proc.of the International Conference on Intelligent Science&Big Data Engineering,2017:356-367.
[26]WANG Y,JIANG Y,WANG Y,et al.Scattering center estimation of HRRP via atomic norm minimization[C]∥Proc.of the IEEE Radar Conference,2017:135-139.
[27]LUNDéN J,KOIVUNEN V.Deep learning for HRRP-based target recognition in multistatic radar systems[C]∥Proc.of the IEEE Radar Conference,2016:1-6.
[28]庄钊文,王雪松,付强,等.雷达目标识别[M].北京:高等教育出版社,2014:202-203.ZHUANG Z W,WANG X S,FU Q,et al.Radar target recognition[M].Beijing:Higher Education Press,2014:202-203.
[29]魏存伟,梁菁,任杰,等.基于航迹信息的舰船目标姿态角鲁棒估计[J].舰船科学技术,2010,32(2):32-35.WEI C W,LIANG J,REN J,et al.Ship attitude angle robust estimation based on track[J].Ship Science and Technology,2010,32(2):32-35.
[30]应涛,章力强,李相平.基于航迹信息的舰船姿态角估计研究[J].舰船电子工程,2011,31(12):79-82.YING T,ZHANG L Q,LI X P.Research on ship attitude angle estimation based on track[J].Ship Electronic Engineering,2011,31(12):79-82.
[2]KIM K T,SEO D K,KIM H T.Efficient radar target recognition using the MUSIC algorithm and invariant features[J].IEEE Trans.on Antennas&Propagation,2002,50(3):325-337.
[3]LIU X K,GAO M G,FU X J.A nearest neighbor fuzzy classifier for radar target recognition using the combined features[C]∥Proc.of the IEEE 8th International Conference on Signal Processing,2006:1706-1708.
[4]PAN M,JIANG J,KONG Q,et al.Radar HRRP target recognition based on t-sne segmentation and discriminant deep belief network[J].IEEE Geoscience&Remote Sensing Letters,2017,14(9):1609-1613.
[5]袁莉,刘宏伟,保铮.基于中心矩特征的雷达HRRP自动目标识别[J].电子学报,2004,32(12),2078-2081.YUAN L,LIU H W,BAO Z.Automatic target recognition of radar hrrp base on central moments feauture[J].Acta Electronica Sinca,2004,32(12):2078-2081.
[6]SLOMAK S,GIBBINS D,GRAY D,et al.Features for high resolution radar range profile based ship classification[J].International Symposium on Signal Processing&Its Applications,1999,1(1):329-332.
[7]LIU X K,WANG B F,XU X J,et al.Modified nearest neighbor fuzzy classification algorithm for ship target recognition[C]∥Proc.of the Industrial Electronics&Applications,2011:2254-2258.
[8]DU L,LIU H W,BAO Z,et al.Radar HRRP target recognition based on higher order spectra[J].IEEE Trans.on Signal Processing,2005,53(7):2359-2368.
[9]吴旭姿,刘峥,谢荣.用于目标检测的宽带雷达自适应波形设计方法[J].西安电子科技大学学报,2016,43(2):46-51.WU X Z,LIU Z,XIE R.Adaptive waveform design for target detection in the wideband radar system[J].Journal of Xidian University,2016,43(2):46-51.
[10]李彬,李辉,郭淞云.基于t分布扩展概率主成分分析模型的一维距离像识别方法[J].电子与信息学报,2017,39(8):1857-1864.LI B,LI H,GUO S Y.Using t-distribution based probabilistic principal component analysis model for high reslution range profile recognition[J].Journal of Electronics&Information Technology,2017,39(8):1857-1864.
[11]徐丹蕾,杜兰,王鹏辉,等.采用多任务稀疏学习的雷达HRRP小样本目标识别[J].西安电子科技大学学报,2016,43(2):23-28.XU D L,DU L,WANG P H,et al.Radar HRRP target recognition by utilizing multitask sparse learning with a small training data size[J].Journal of Xidian University,2016,43(2):23-28.
[12]FENG B,CHEN B,LIU H W.Radar HRRP target recognition with deep networks[J].Pattern Recognition,2017,61(1):379-393.
[13]DU L,LIU H W,BAO Z.Radar HRRP statistical recognition based on hypersphere model[J].Signal Processing,2008,88(5):1176-1190.
[14]JIANG Y,LI Y,CAI J J,et al.Robust automatic target recognition via HRRP Sequence based on scatterer matching[J].Sensors,2018,18(2):593-611.
[15]ZHAO F X,LIU Y X,HUO K,et al.Radar HRRP target recognition based on stacked autoencoder and extreme learning machine[J].Sensors,2018,18(1):173-187.
[16]PENG X,GAO X Z,ZHANG Y F,et al.An adaptive feature learning model for sequential radar high resolution range profile recognition[J].Sensors,2017,17(7):1675-1688.
[17]YIN C B,RAN D,AUBERT H.Precision imaging of frequency stepped SAR with frequency domain extracted hrrp and fast factorized back projection algorithm[J].International Journal of Antennas and Propagation,2017,2017(3):1-13.
[18]LI C,BAO W M,XU L P,et al.Clustered multi-task learning for automatic radar target recognition[J].Sensors,2017,17(10):2218-2234.
[19]ZHOU D Y.Radar target HRRP recognition based on reconstructive and discriminative dictionary learning[J].Signal Processing,2016,126(C):52-64.
[20]LIU H W,CHEN B,FENG B,et al.Radar high resolution range profiles target recognition based on stable dictionary learning[J].IET Radar,Sonar and Navigation,2016,10(2):228-237.
[21]DU L,HE H,ZHAN L,et al.Noise robust radar HRRP target recognition based on scatterer matching algorithm[J].IEEE Sensors Journal,2016,16(6):1743-1753.
[22]LI L,LIU Z.Noise-robust HRRP target recognition method via sparse-low-rank representation[J].Electronics Letters,2017,53(24):1602-1604.
[23]HE H,DU L,WANG P,et al.Noise robust recognition method based on scatterer pattern for radar HRRP data[C]∥Proc.of the IEEE International Conference on Acoustics,Speech and Signal Processing,2016:2324-2328.
[24]GUO Y,XIAO H.Pruning support vector data description method for hrrp-based radar target recognition[C]∥Proc.of the International Symposium on Computational Intelligence&Design,2017:330-333.
[25]ZHAI Y,CHEN B,ZHANG H,et al.robust variational auto-encoder for radar HRRP target recognition[C]∥Proc.of the International Conference on Intelligent Science&Big Data Engineering,2017:356-367.
[26]WANG Y,JIANG Y,WANG Y,et al.Scattering center estimation of HRRP via atomic norm minimization[C]∥Proc.of the IEEE Radar Conference,2017:135-139.
[27]LUNDéN J,KOIVUNEN V.Deep learning for HRRP-based target recognition in multistatic radar systems[C]∥Proc.of the IEEE Radar Conference,2016:1-6.
[28]庄钊文,王雪松,付强,等.雷达目标识别[M].北京:高等教育出版社,2014:202-203.ZHUANG Z W,WANG X S,FU Q,et al.Radar target recognition[M].Beijing:Higher Education Press,2014:202-203.
[29]魏存伟,梁菁,任杰,等.基于航迹信息的舰船目标姿态角鲁棒估计[J].舰船科学技术,2010,32(2):32-35.WEI C W,LIANG J,REN J,et al.Ship attitude angle robust estimation based on track[J].Ship Science and Technology,2010,32(2):32-35.
[30]应涛,章力强,李相平.基于航迹信息的舰船姿态角估计研究[J].舰船电子工程,2011,31(12):79-82.YING T,ZHANG L Q,LI X P.Research on ship attitude angle estimation based on track[J].Ship Electronic Engineering,2011,31(12):79-82.