基于最优路径的弹道目标径向长度提取方法
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摘要
针对强噪声环境中弹道目标径向长度提取困难的问题,提出了一种基于最优路径的弹道目标径向长度提取方法。首先对目标距离像进行时间积累,得到一维距离像时间序列,然后分别计算每相邻帧的距离像中各个像素之间转移的幅度代价函数和路径代价函数,根据总代价函数的大小判断各散射中心的相关性,搜索得到一条代价函数最小的路径即最优路径,确定目标头部和尾部散射中心的位置,进而得到各个时刻目标径向长度。该方法算法简单,在强噪声环境中也能保证较高的正确率。对仿真和模拟测试数据的分析处理验证了该方法的有效性。
In order to estimate the ballistic target range profile length under the high noise condition,a new method is proposed based on the optimal route algorithm.Firstly,integrate the high resolution range profile(HRRP)series for a period,then calculate values of cost functions on amplitude and distance when a pixel in this HRRP transfers to another in the next HRRP.By comparing total costs of the transfer,the relativity of strong scatter centers can be confirmed.An optimal route is found on which the values of cost functions are minimal.Then the position sequence of the strong scattering centers on the target is obtained.The HRRP lengths of the target can be estimated for the period by calculating the distances between its head and bottom.The method is simple in arithmetic processing and can improve the correctness for range profile length estimation in a high noise background.The effectiveness of the proposed method has been verified by analyzing simulation data and experimental data.
In order to estimate the ballistic target range profile length under the high noise condition,a new method is proposed based on the optimal route algorithm.Firstly,integrate the high resolution range profile(HRRP)series for a period,then calculate values of cost functions on amplitude and distance when a pixel in this HRRP transfers to another in the next HRRP.By comparing total costs of the transfer,the relativity of strong scatter centers can be confirmed.An optimal route is found on which the values of cost functions are minimal.Then the position sequence of the strong scattering centers on the target is obtained.The HRRP lengths of the target can be estimated for the period by calculating the distances between its head and bottom.The method is simple in arithmetic processing and can improve the correctness for range profile length estimation in a high noise background.The effectiveness of the proposed method has been verified by analyzing simulation data and experimental data.
引文
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[13]Huo C Y,Huang J,Ren H M.Analysis method of wide-band feature by the procedural image of scattering centers[J].Journal of Antennas,2010:275-277.(霍超颖,黄璟,任红梅.基于散射中心历程图的宽带特征分析方法[J].天线学报,2010:275-277.)
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[15]Thayaparan T,Stankovic L,Djurovic I.Micro-Doppler-based target detection and feature extraction in indoor and outdoor environments[J].Journal of the Franklin Institute,2008,345(6):700-722.
[16]Guan Y S,Liu H W,Chen F.Micro-motion targets resolution in a high noise environment[C]∥Proc.of the Institute of Engineering Technology International Radar Conference,2009:2630-2635.
[17]Rakovi′c P,Dakovi′c M,Thayananthan T.An algorithm for detecting a maneuvering target based on TFR and viterbi algorithm[C]∥Proc.of the International Workshop on Symbolic and Numerical Methods,Modeling and Applications to Circuit Design,2010:1-4.
[18]You Q M,Li Y H,Rahman M S,et al.A near optimal routing scheme for multi-hop relay networks based on viterbi algorithm[C]∥Proc.of the IEEE Conference on Wireless Communications Symposium,2012:4531-4536.
[2]Huo K,Deng B,Liu Y X,et al.High resolution range profile analysis based on multicarrier phase-coded waveforms of OFDM radar[J].Journal of Systems Engineering and Electronics,2011,22(3):421-427.
[3]Zhang X F,Wang P H,Du L,et al.New method for radar HRRP recognition and rejection based on weighted majority voting combination of multiple classifiers[C]∥Proc.of the IEEE International Conference on Signal Processing,Communications and Computing,2011:1-4.
[4]Li M S,Yan Z M.An algorithm based on HRRP for target recognition[C]∥Proc.of the International Conference on Image Analysis and Signal Processing,2012:71-73.
[5]Hou Q Y,Chen F,Liu H W,et al.New statistical model forradar HRRP target recognition[J].Journal of Systems Engineering and Electronics,2010,21(2):204-210.
[6]Guo Z H,Li S H.One-dimensional frequency-domain features for aircraft recognition from radar range profiles[J].IEEE Trans.on Aerospace and Electronic Systems,2010,46(4):1880-1892.
[7]Fu J S,Liao K,Yang W L.Synthetical generalized discriminate analysis for radar HRRP target recognition[C]∥Proc.of the International Conference on Information Science and Engineering,2010:4106-4109.
[8]He S S,Zhou J X,Zhao H Z,et al.Estimating the precession angle of ballistic targets in midcourse based on HRRP sequence[C]∥Proc.of the IEEE Radar Conference,2008:1006-1009.
[9]Huang K P,Yin H C,Xu X J.Radar Target characteristics[M].Beijing:Publishing House of Electronics Industry,2004:86-98.(黄培康,殷红成,许小剑.雷达目标特性[M].北京:电子工业出版社,2004:86-98.)
[10]Liao K.Study of radar automatic target recognition base on high range resolution profile[D].Chengdu:University of Electronic Science and Technology of China,2012:24-30.(廖阔.基于高分辨距离像的雷达自动目标识别研究[D].成都:电子科技大学,2012:24-30.)
[11]Liao K,Gui G,Chen Z X,et al.High resolution range profile based extraction of radar target length[J].International Journal of the Physical Sciences,2011,6(23):5503-5510.
[12]Jin G H.Research on ISAR imaging and physical feature extraction of midcourse ballistictarget[D].Changsha:National University of Defense Technology,2009:67-75.(金光虎.中段弹道目标ISAR成像及物理特性反演技术研究[D].长沙:国防科学技术大学,2009:67-75.)
[13]Huo C Y,Huang J,Ren H M.Analysis method of wide-band feature by the procedural image of scattering centers[J].Journal of Antennas,2010:275-277.(霍超颖,黄璟,任红梅.基于散射中心历程图的宽带特征分析方法[J].天线学报,2010:275-277.)
[14]Igor D,LJubisa S.An algorithm for the Wigner distribution based instantaneous frequency estimation in a high noise environment[J].Signal Processing,2004,84(3):631-643.
[15]Thayaparan T,Stankovic L,Djurovic I.Micro-Doppler-based target detection and feature extraction in indoor and outdoor environments[J].Journal of the Franklin Institute,2008,345(6):700-722.
[16]Guan Y S,Liu H W,Chen F.Micro-motion targets resolution in a high noise environment[C]∥Proc.of the Institute of Engineering Technology International Radar Conference,2009:2630-2635.
[17]Rakovi′c P,Dakovi′c M,Thayananthan T.An algorithm for detecting a maneuvering target based on TFR and viterbi algorithm[C]∥Proc.of the International Workshop on Symbolic and Numerical Methods,Modeling and Applications to Circuit Design,2010:1-4.
[18]You Q M,Li Y H,Rahman M S,et al.A near optimal routing scheme for multi-hop relay networks based on viterbi algorithm[C]∥Proc.of the IEEE Conference on Wireless Communications Symposium,2012:4531-4536.