主持科研项目:
1、863创新基金:基于×××××目标被动探测关键技术研究;
2、基本科研业务费资助项目:多被动观测站测向交叉定位与跟踪关键技术研究
3、基本科研业务费自由探索类项目:基于随机集和箱粒子滤波的目标跟踪方法研究
4、横向项目:基于DSP的汽车防撞雷达信号处理板设计与实现
5、横向项目:XXXXX定位跟踪技术
6、重点实验室基金:基于×××××目标跟踪方法研究
作为主要完成人参与并完成的研究项目包括:
1、*科研项目*;
2、国家自然科学基金:基于非线性滤波的红外弱小目标检测与跟踪新方法研究
3、国家自然科学基金:基于被动多传感器的目标跟踪方法研究
在国内外期刊和学术会议上发表SCI、EI检索论文数十篇。授权专利多项。出版教材1部。
1. Li, Qinlei, Song Liping, Zhang Yongquan, Multiple extended target tracking by truncated JPDA in a clutter environment, IET Signal Processing, Vol. 15, No. 3, May 2021, pp.207 – 219.
2. Q. Li and L. Song, Axisymmetric extended target tracking using Gaussian process, 2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP), 2020, pp. 306-311.
3. ZOU Zhibin, SONG Liping*, and CHENG Xuan, Labeled box-particle CPHD filter for multiple extended targets tracking, Journal of Systems Engineering and Electronics, Vol. 30, No. 1, February 2019, pp.57 – 67.
4. 程轩,宋骊平,姬红兵,邹志彬.标签箱粒子概率假设密度群目标跟踪算法[J/OL],系统工程与电子技术:2019.
5. Xuan Cheng, Liping Song, Zhibin Zou. Multiple Group Target Tracking with Evolving Networks and Labeled Box Particle PHD Filter. 2018 Chinese Control And Decision Conference (CCDC). Shenyang, China, 9-11 June 2018 : 4046 - 4051.
6. Zhi-bin Zou, Li-ping Song and Zhi-Long Song, Labeled Box-Particle PHD Filter for Multi-Target Tracking, 2017 3rd IEEE International Conference on Computer and Communications (ICCC 2017) Chengdu, China, Dec. 13-16, 2017.
7. 宋骊平,程轩,姬红兵. 基于均值漂移和双层群结构模型的群目标GMPHD滤波[J/OL]. 控制与决策:1-7,2017.
8. 程轩,宋骊平,姬红兵.基于演化网络模型的箱粒子CPHD群目标跟踪[J].系统工程与电子技术,2018,40(5):961-967.
9. 程轩,宋骊平,姬红兵.基于mean shift和图结构的GMPHD扩展目标跟踪[J].西北工业大学学报,2018,36(3):420-425.
10. 程慧,宋骊平,李翠芸.基于箱粒子PHD滤波的多目标视频跟踪方法[J].计算机辅助设计与图形学学报,2018,30(2):282-288.
11. 宋骊平,刘宇航,程轩.箱粒子PHD演化网络群目标跟踪算法[J].控制与决策,2018,33(1):74-80.
12. 苗雨,宋骊平,姬红兵,箱粒子广义标签多伯努利滤波的目标跟踪算法,西安交通大学学报,2017年第51卷第10期.
13. 宋骊平,刘宇航,程轩,箱粒子PHD演化网络群目标跟踪算法,控制与决策:2017.
14. L. Song, M. Liang, H. Ji, Box-Particle Implementation and Comparison of Cardinalized Probability Hypothesis Density Filter. RADIOENGINEERING, VOL. 25, NO. 1, p 177-186, April 2016. DOI: 10.13164/re.2016.0177.
15. 宋骊平,严超,姬红兵,梁萌,基于箱粒子的多扩展目标PHD滤波,控制与决策,2015年10月
16. Liang, Meng;Song, Liping; Ji, Hongbing, et.al, Box-particle CPHD filter for multi-target tracking, ICCAIS 2015 - 4th International Conference on Control, Automation and Information Sciences, Changshu, China, October 29- 31, 2015, pp: 80-84
17. Li-ping SONG, Xue-gang ZHAO, Box-Particle Cardinality Balanced Multi-Target Multi-Bernoulli Filter, RADIOENGINEERING, VOL. 23, NO. 2, p 609-617, JUNE 2014. pdf
18. 赵雪刚,宋骊平,姬红兵,量化量测条件下的交互多模型箱粒子滤波,西安电子科技大学学报,2014年第41卷第6期,44-51页
19. Li-ping Song and Hong-bing Ji, ‘Interacting fading memory modified input estimation for maneuvering target tracking’, International Journal of the Physical Sciences Vol. 6(25), 2011: pp. 6110–6117 pdf
20.Xuetao Zheng, Liping Song, Improved CPHD Filtering With Unknown Clutter Rate, The 10th World Congress on Intelligent Control and Automation (WCICA), Beijing, China, 6-8, July, 2012, pp: 4326-4331.pdf
21.Song Liping and Ji Hongbing,“Modified Input Estimation with Interacting Fading Memory for Maneuvering Target Tracking” Proceedings of the 2010 2nd International Conference on Signal Processing Systems (ICSPS 2010), pp: V1448-V1451, 2010.
22.宋骊平,姬红兵,多被动传感器UKF与EKF算法的应用与比较,系统工程与电子技术,vol. 31(5):1083-1086,2009年5月 pdf
23.宋骊平,姬红兵,多站测角的最小二乘交互多模型跟踪算法,西安电子科技大学学报,Vol 35(2),pp: 242-247, 2008年4月
24.Song Liping and Ji Hongbing Least Squares Interacting Multiple Model Algorithm For Passive Multi-Sensor Maneuvering Target Tracking, 2nd International Conference on Natural Computation, (ICNC'06), Xi'an, 2006.9. pp: 479-482
25. 宋骊平,姬红兵,高新波,“多站测角的机动目标最小二乘自适应跟踪算法”,电子与信息学报,2005年5月,Vol 27(5), 793-796, 2005. pdf
26. 宋骊平,姬红兵,高新波 基于高阶累积量的目标机动检测新方法,电子学报,2004年1月,Vol 32(1), pp: 154-156.pdf
27.Ji Hongbing, Song Liping, Gao Xinbo Higher-Order Cumulants based Maneuver Detection in Kalman Filter, IEEE Region 10 Annual International Conference, Proceedings of IEEE TENCON’02, Beijing, 2002.10. vol. 3, pp: 1385-1388.