[1]陆泽橼,吴乐南.一种面向EBPSK卫星被动雷达的改进多源PHD算法[J].东南大学学报(自然科学版),2015,45(4):641-646.[doi:10.3969/j.issn.1001-0505.2015.04.005]
　Lu Zeyuan,Wu Lenan.Improved multi-souce PHD algorithm for EBPSK satellite passive radar[J].Journal of Southeast University (Natural Science Edition),2015,45(4):641-646.[doi:10.3969/j.issn.1001-0505.2015.04.005]
点击复制

一种面向EBPSK卫星被动雷达的改进多源PHD算法()
分享到：

《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
45
期数:
2015年第4期
页码:
641-646
栏目:
电磁场与微波技术
出版日期:
2015-07-20

文章信息/Info

Title:
Improved multi-souce PHD algorithm for EBPSK satellite passive radar
作者:
陆泽橼1; 2; 吴乐南1
1东南大学信息科学与工程学院, 南京210096; 2中国科学院合肥物质科学研究院医学物理与技术中心, 合肥230031
Author(s):
Lu Zeyuan1; 2;  Wu Lenan1
1School of Information Science and Engineering, Southeast University, Nanjing 210096, China
2Center of Medical Physics and Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
关键词:
EBPSK调制;  卫星被动雷达系统;  PHD算法
Keywords:
EBPSK(extended binary phase shift keying)modulation;  satellite passive radar system;  probability hypothesis density(PHD)algorithm
分类号:
TN958.97
DOI:
10.3969/j.issn.1001-0505.2015.04.005
摘要:
为提高对海杂波干扰下空中目标的跟踪性能,讨论了海面-目标二次反射模型,分析了EBPSK调制方式的卫星被动雷达系统特点,在此基础上开展多目标跟踪研究.由于经典的概率假设密度(PHD)滤波不适用于海杂波空间分布不均匀的卫星EBPSK信号多目标跟踪,提出了面向卫星被动雷达系统的多源改进算法.该算法首先对各卫星信息使用经典PHD滤波进行预测和更新,然后在修整步骤进行多卫星信息融合.仿真结果表明:该改进算法能够适应被动卫星EBPSK信号的特性,避免海杂波造成的虚假目标,目标数估计优于经典的PHD滤波算法,具有工程应用前景.
Abstract:
To improve target tracking performance with sea clutter, the sea-target double reflection model is discussed, and the EBPSK(extended binary phase shift keying)modulation satellite passive radar system is analyzed. Based on the system, multi target tracking is studied. Since classical probability hypothesis density(PHD)filtering is not suitable for satellite EBPSK signal in multi target tracking with uniformly distributed clutter, an improved algorithm is proposed. Classical PHD filtering prediction and updating step is used for each satellite data, and then at the trim calculation step, multi-satellite information fusion is used. The simulation results prove that the proposed algorithm is suitable for the passive satellite EBPSK signal. False target is avoided, and target number estimation performance is superior to the classical PHD filtering algorithm. The proposed algorithm has the prospect of engineering application.

参考文献/References:

[1] Wang W Q. Regional remote sensing by near-space vehicle-borne passive radar system[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2012, 69: 29-36.
[2] Kalkan Y, Baykal B. Multiple target localization & data association for frequency-only widely separated MIMO radar[J]. Digital Signal Processing, 2014, 25:51-61.
[3] Krysik P, Kulpa K, Baczyk M, et al. Ground moving vehicles velocity monitoring using a GSM based passive bistatic radar[C]//IEEE CIE International Conference on Radar. Chengdu, China, 2011, 1: 781-784.
[4] Ruan Y H, Willett P. Multiple model PMHT and its application to the second benchmark radar tracking problem[J]. IEEE Transactions on Aerospace and Electronic Systems, 2004, 40(4):1337-1350.
[5] Vo B N, Ma W K. The Gaussian mixture probability hypothesis density filter[J]. IEEE Transactions on Signal Processing, 2006, 54(11):4091-4104.
[6] Mahler R P S. Multitarget Bayes filtering via first-order multitarget moments[J]. IEEE Transactions on Aerospace and Electronic Systems, 2003,39(4):1152-1178.
[7] Mahler R P S. Approximate multisensor CPHD and PHD filters[C]//Proceedings of the 13th Conference on Information Fusion. Edinburgh, UK, 2010:1-8.
[8] Wu L N, Feng M, Qi C H, et al. Recent patents on ultra narrow band modulations [J]. Recent Patents on Signal Processing, 2011, 1(1): 36-47.
[9] 张宇,应鹏魁,吴乐南.伪随机调制序列的CP-EBPSK通信系统[J].东南大学学报:自然科学版, 2012,42(2):209-213.
　　Zhang Yu, Ying Pengkui, Wu Lenan. Pseudo-random modulated CP-EBPSK communication system [J]. Journal of Southeast University: Natural Science Edition, 2012, 42(2):209-213.(in Chinese)
[10] 陈鹏, 吴乐南.压缩感知在多载波EBPSK 雷达中的应用[J].东南大学学报: 自然科学版, 2014, 44(1): 23-27.
　　Chen Peng, Wu Lenan. Compressive sensing for multi-carrier EBPSK radar[J]. Journal of Southeast University: Natural Science Edition, 2014, 44(1): 23-27.(in Chinese)
[11] 范梅梅,廖东平,丁小峰.基于北斗卫星信号的无源雷达可行性研究[J]. 信号处理, 2010, 26(4): 631-636.
　　Fan Meimei, Liao Dongping, Ding Xiaofeng. Feasibility research of passive radar based on Beidou navigation and position system[J]. Signal Processing, 2010, 26(4): 631-636.(in Chinese)
[12] Lu Z Y, Wu L N, Zhang Y D. Velocity estimation based on satellite dual frequency EBPSK system[C]//General Assembly and Scientific Symposium. Beijing, China, 2014: 1-4.
[13] Liou L L, Tsui J B, Lin D M, et al. Passive altimeter study using GPS flight data[C]//Proc 2003 ION GPS. Portland, OR, USA, 2003: 1264-1269.
[14] Katzberg S J, Garrison J L, Howell C T. Simple over-water altimeter using GPS reflections[C]//ION GPS-99. Nashville, TN, USA, 1999: 1819-1827.

相似文献/References:

[1]常虹,丁佳佳,吴乐南.AWGN信道EBPSK系统解调性能分析[J].东南大学学报(自然科学版),2012,42(1):14.[doi:10.3969/j.issn.1001-0505.2012.01.003]
　Chang Hong,Ding Jiajia,Wu Lenan.Performance of EBPSK demodulator in AWGN channel[J].Journal of Southeast University (Natural Science Edition),2012,42(4):14.[doi:10.3969/j.issn.1001-0505.2012.01.003]

备注/Memo

备注/Memo:
收稿日期: 2015-02-03.
作者简介: 陆泽橼(1982—),男,博士;吴乐南(联系人),男,博士,教授,博士生导师,Wuln@seu.edu.cn.
引用本文: 陆泽橼,吴乐南.一种面向EBPSK卫星被动雷达的改进多源PHD算法[J].东南大学学报:自然科学版,2015,45(4):641-646. [doi:10.3969/j.issn.1001-0505.2015.04.005]
更新日期/Last Update: 2015-07-20