VHF radar has unique advantage in anti-stealth and resisting anti-radiation missile. It plays an important role in modern antiaircraft system. However, the multipath signal often brings difficulties to the altitude measurement of VHF radar. Combining with the characteristics of VHF array radar and array multipath signal model, this paper summarizes and concludes three VHF radar height measurement methods based on the traditional Maximum Likelihood (ML) algorithm: the altitude measurement method based on the temporal-spatial sequential ML algorithm; the altitude measurement method based on the improved temporal-spatial sequential ML algorithm; the altitude measurement method based on the Refined Maximum Likelihood (RML) algorithm. This paper presents the theoretical performance analysis of these methods, the relationship between three methods, and the results of computer simulation experiments. Finally some meaningful conclusions are given.
KUSCHEL H. VHF/UHF radar. Part 1: Characteristics[J]. Electronics & Communications Engineering Journal, 2002, 14(2): 61-72. doi: 10.1049/ecej:20020203.
[2]
TIAN C and WEN S L. An anti-jamming and azimuth angle estimation algorithm for omni-directional VHF radar[C]. IET International Radar Conference, Hangzhou, 2015: 1-6. doi: 10.1049/cp.2015.1078.
XIA Tian, SHEN Yiying, LIU Yongtan, et al. Height measurement algorithm of meter-wave radar network based on virtual plane[J]. Journal of Electronics & Information Technology, 2015, 37(6): 1476-1482. doi: 10.11999/ JEIT141504.
HONG Sheng, WAN Xianrong, and KE Hengyu. Low- elevation estimation for bistatic MIMO radar in spatially colored noise[J]. Journal of Electronics & Information Technology, 2015, 37(1): 15-21. doi: 10.11999/JEIT140290.
[5]
WANG S, CAO Y, SU H, et al. Target and reflecting surface height joint estimation in low-angle radar[J]. IET Radar Sonar Navigation, 2015, 10(3): 617-623. doi: 10.1049/iet-rsn. 2015.0391.
SU Yanchuan and ZHAO Yongbo. Method and application of altitude measurement based on altitude diversity in two- antenna VHF radar[J]. Aeronautical Computing Technique, 2006, 36(6): 59-61. doi: 10.3969/j.issn. 1671-654X.2006.06. 015.
HU Xiaoqin, CHEN Jianwen, and WANG Yongliang. Research on meter-wave radar height-finding multipath model[J]. Chinese Journal of Radio Science, 2008, 23(4): 651-657. doi: 10.3969/j.issn.1005-0388.2008.04.011.
[8]
SCHMIDT R O. Multiple emitter location and signal parameter estimation[J]. IEEE Transactions on Antennas & Propagation, 1986, 34(3): 276-280. doi: 10.1109/TAP.1986. 1143830.
[9]
NIE W K, FENG D Z, XIE H, et al. Improved MUSIC algorithm for high resolution angle estimation[J]. Signal Processing, 2015, 122: 87-92. doi: 10.1016/j.sigpro.2015.12. 002.
[10]
ZISKIND I and WAX M. Maximum likelihood localization of multiple sources by alternating projection[J]. IEEE Transactions on Acoustics Speech & Signal Processing, 1988, 36(10): 1553-1560. doi: 10.1109/29.7543.
[11]
ABRAMOVICH Y I, BESSON O, and JOHNSON B A. Bounds for maximum likelihood regular and non-regular DOA estimation in K-distributed noise[J]. Acta Electronica Sinica, 2015, 63(21): 5746-5757. doi: 10.1109/TSP.2015. 2460218.
ZHAO Yongbo and ZHANG Shouhong. Maximum likelihood DOA estimation in radar low-angle tracking environment[J]. Acta Electronica Sinica, 2004, 32(9): 1520-1523.
JIA Yongkang and BAO Zheng. DOA estimation methods and its performance for signals with temporal-spatial 2-dimension model[J]. Acta Electronica Sinica, 1997, 25(9): 69-73.
[15]
BOSSE E, TURNER R M, and BROOKES D. Improved radar tracking using a multipath model: maximum likelihood compared with eigenvector analysis[J]. IEE Proceedings Radar, Sonar and Navigation, 1994, 141(4): 213-222. doi: 10.1049/ip-rsn: 19941162.
XU Zhenhai, HUANG Tan, XIONG Ziyuan, et al. Low angle tracking algorithm using frequency diversity for array radar[J]. Journal of National University of Defense Technology, 2014, 36(2): 93-98. doi: 10.11887/j.cn.201402016.