Altitude Measurement Method and Performance Analysis in VHF Array Radar

ZHAO Yongbo; HUO Jiong; ZHU Yutang; LIU Hongwei; HE Xuehui

doi:10.11999/JEIT161075

Volume 38 Issue 12

Jan. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(12): 3205-3211

ZHAO Yongbo, HUO Jiong, ZHU Yutang, LIU Hongwei, HE Xuehui. Altitude Measurement Method and Performance Analysis in VHF Array Radar[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3205-3211. doi: 10.11999/JEIT161075

Citation:

ZHAO Yongbo, HUO Jiong, ZHU Yutang, LIU Hongwei, HE Xuehui. Altitude Measurement Method and Performance Analysis in VHF Array Radar[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3205-3211. doi: 10.11999/JEIT161075

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Altitude Measurement Method and Performance Analysis in VHF Array Radar

doi: 10.11999/JEIT161075

Funds:

The Fundamental Research Funds for the Central Universities (K5051202047)

Received Date: 2016-10-13
Rev Recd Date: 2016-12-05
Publish Date: 2016-12-19

Abstract

Abstract

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.
- Array radar,
- VHF radar,
- Maximum likelihood estimate,
- Multipath signal,
- Altitude measurement

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References(24)

References

KUSCHEL H. VHF/UHF radar. Part 1: Characteristics[J]. Electronics Communications Engineering Journal, 2002, 14(2): 61-72. doi: 10.1049/ecej:20020203.

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.

夏添, 沈一鹰, 刘永坦, 等. 基于虚拟平面的米波组网雷达测高算法[J]. 电子与信息学报, 2015, 37(6): 1476-1482. doi: 10.11999/JEIT141504.

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.

洪升, 万显荣, 柯亨玉. 空间色噪声背景下双基地多输入多输出雷达低仰角估计方法[J]. 电子与信息学报, 2015, 37(1): 15-21. doi: 10.11999/JEIT140290.

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.

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.

苏延川, 赵永波. 基于高度分集的两波束米波雷达测高方法及其应用[J]. 航空计算技术, 2006, 36(6): 59-61. doi: 10.3969/ j.issn.1671-654X.2006.06.015.

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.

胡晓琴, 陈建文, 王永良. 米波雷达测高多径模型研究[J]. 电波科学学报, 2008, 23(4): 651-657. doi: 10.3969/j.issn.1005- 0388.2008.04.011.

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.

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.

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.

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.

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.

赵永波, 张守宏. 雷达低角跟踪环境下的最大似然波达方向估计方法[J]. 电子学报, 2004, 32(9): 1520-1523.

ZHAO Yongbo and ZHANG Shouhong. Maximum likelihood DOA estimation in radar low-angle tracking environment[J]. Acta Electronica Sinica, 2004, 32(9): 1520-1523.

贾永康, 保铮. 利用多普勒信息的波达方向最大似然估计方法[J]. 电子学报, 1997, 25(6): 71-76.

JIA Yongkang and BAO Zheng. Maximum likelihood DOA estimation by using doppler information[J]. Acta Electronica Sinica, 1997, 25(6): 71-76.

贾永康, 保铮. 时空二维信号模型下的波达方向估计方法及其性能分析[J]. 电子学报, 1997, 25(9): 69-73.

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.

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.

徐振海, 黄坦, 熊子源, 等. 基于频率分集的阵列雷达低角跟踪算法[J]. 国防科技大学学报, 2014, 36(2): 93-98. doi: 10. 11887/j.cn.201402016.

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.

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