非合作USB测控信号调制指数估计算法

doi:10.12305/j.issn.1001-506X.2021.02.01

系统工程与电子技术 ›› 2021, Vol. 43 ›› Issue (2): 285-293.doi: 10.12305/j.issn.1001-506X.2021.02.01

• 电子技术 • 下一篇

非合作USB测控信号调制指数估计算法

褚梓樾^1,^2,³(), 王雪^1,^2,^3,*(), 赵航^1,³(), 商鹏^1,^2,³()

1. 中国科学院国家授时中心, 陕西西安 710600
2. 中国科学院大学, 北京 101408
3. 中国科学院精密导航定位与定时技术重点实验室, 陕西西安 710600

收稿日期:2020-05-09 出版日期:2021-02-01 发布日期:2021-03-16
通讯作者: 王雪 E-mail:chuziyue@ntsc.ac.cn;wangxue@ntsc.ac.cn;zhaohang@ntsc.ac.cn;shangpeng@ntsc.ac.cn
作者简介:褚梓樾 (1996-),男,博士研究生,主要研究方向为空间信号评估及特征分析。E-mail:chuziyue@ntsc.ac.cn|赵航 (1982-),男,高级工程师,硕士,主要研究方向为导航地面站总体技术、卫星通信等。E-mail:zhaohang@ntsc.ac.cn|商鹏 (1991-),男,博士研究生,主要研究方向为北斗卫星导航系统与5G兼容性技术。E-mail:shangpeng@ntsc.ac.cn
基金资助:
国家自然科学基金(11873009)

Estimation algorithm of modulation index for non-cooperative USB TT & C signal

Ziyue CHU^1,^2,³(), Xue WANG^1,^2,^3,*(), Hang ZHAO^1,³(), Peng SHANG^1,^2,³()

1. National Time Service Center, Chinese Academy of Sciences, Xi'an 710600, China
2. University of Chinese Academy of Sciences, Beijing 101408, China
3. Key Laboratory of Precision Navigation and Timing Technology, Chinese Academy of Sciences, Xi'an 710600, China

Received:2020-05-09 Online:2021-02-01 Published:2021-03-16
Contact: Xue WANG E-mail:chuziyue@ntsc.ac.cn;wangxue@ntsc.ac.cn;zhaohang@ntsc.ac.cn;shangpeng@ntsc.ac.cn

摘要/Abstract

摘要：

测控信号的调制指数可作为非合作卫星辐射源识别的一个稳定特征参数，针对非合作统一S频段测控信号，提出一种基于频域谱分析的调制指数估计算法。根据该信号的频谱特性构造调制指数估计算法，并对该算法的估计误差进行理论分析。通过蒙特卡罗仿真给出估计误差随信噪比变化的情况，并利用实测信号从频域和时域两个方面对该算法的性能进行验证。结果表明，实测信号与恢复信号的频谱幅度误差较小、时域基带信号波形的一致性较高、归一化互相关函数最大值接近于1。进一步说明该算法的精度较高，可为非合作卫星辐射源识别提供高精度的参数支撑。

关键词: 非合作, USB测控信号, 谱分析, 调制指数估计

Abstract:

Modulation index for telemetry tracking and command (TT&C) signals can be used as a stable characteristic parameter for non-cooperative satellite emitter identification. Aiming at the non-cooperative unified S band (USB) TT&C signals, a modulation index estimation algorithm based on frequency domain spectrum analysis is proposed. According to the spectrum characteristics of the signal, the modulation index estimation algorithm is constructed, and the estimation error of the algorithm is analyzed theoretically. Monte Carlo simulation shows the variation of estimation error with the signal to noise ratio, and the performance of the algorithm is verified by the measured signal in both frequency and time domains.The results show that the spectrum amplitude error between the measured signal and the recovered signal is small, the time domain baseband signal waveform has high consistency, and the maximum value of normalized cross-correlation function is close to 1, which further shows that the proposed algorithm has high precision and can provide high precision parameter support for non-cooperative satellite emitter identification.

Key words: non-cooperative, unified S band (USB) telemetry tracking and command (TT&C) signal, spectrum analysis, modulation index estimation

中图分类号:

TN911.6

褚梓樾, 王雪, 赵航, 商鹏. 非合作USB测控信号调制指数估计算法[J]. 系统工程与电子技术, 2021, 43(2): 285-293.

Ziyue CHU, Xue WANG, Hang ZHAO, Peng SHANG. Estimation algorithm of modulation index for non-cooperative USB TT & C signal[J]. Systems Engineering and Electronics, 2021, 43(2): 285-293.

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参考文献 25

1	JAUNZEMIS A D , FEIGH K M , HOLZINGER M J , et al. Cognitive systems engineering applied to decision support in space situational awareness[J]. Journal of Cognitive Engineering and Decision Making, 2020, 14 (1): 3- 33. doi: 10.1177/1555343419872050
2	PAK A , CORREA J , ADAMS M . Robust joint target detection and tracking for space situational awareness[J]. Journal of Guidance Control & Dynamics, 2017, 41 (1): 119- 136.
3	BOBRINSKY N , MONTE L D . The space situational awareness program of the European Space Agency[J]. Cosmic Research, 2010, 48 (5): 392- 398. doi: 10.1134/S0010952510050035
4	SATIJA U , TRIVEDI N , BISWAL G , et al. Specific emitter identification based on variational mode decomposition and spectral features in single hop and relay ing scenarios[J]. IEEE Trans.on Information Forensics and Security, 2018, 14 (3): 581- 591.
5	GUO S, WHITE R E, LOW M. A comparison study of radar emitter identification based on signal transients[C]//Proc.of the IEEE Radar Conference, 2018.
6	BERTONCINI C , RUDD K , NOUSAIN B , et al. Wavelet fingerprinting of radio-frequency identification (RFID) tags[J]. IEEE Trans.on Industrial Electronics, 2012, 59 (2): 4843- 4850.
7	LI Y Y , LU X C , WANG X . A new method for estimation of orthogonal and phase deviations of constant-envelope signals[J]. Measurement Science and Technology, 2017, 28 (12): 125003. doi: 10.1088/1361-6501/aa8b1f
8	沈荣骏, 赵军. 我国航天测控技术的发展趋势与策略[J]. 宇航学报, 2001, 22 (3): 1- 5. doi: 10.3321/j.issn:1000-1328.2001.03.001
	SHEN R J , ZHAO J . Development tendency and strategy of space TT&C technology of our country[J]. Journal of Astronautics, 2001, 22 (3): 1- 5. doi: 10.3321/j.issn:1000-1328.2001.03.001
9	刘嘉兴. 载人航天USB测控系统及其关键技术[J]. 宇航学报, 2005, 26 (6): 743- 747. doi: 10.3321/j.issn:1000-1328.2005.06.014
	LIU J X . Manned spaceflight USB TT&C system and its key t echnologies[J]. Journal of Astronautics, 2005, 26 (6): 743- 747. doi: 10.3321/j.issn:1000-1328.2005.06.014
10	CCSDS 401.0-B-21. Radio frequency and modulation systems part 1: earth stations and spacecraft[S]. Washington D.C.: Consulta- tive Committee for Space Data Systems Secretariat, 2001.
11	KRENG J K, SUE M, DO S, et al. Telemetry, tracking, and command link rerformance using the USB/S TDN waveform[C]//Proc.of the IEEE Aerospace Conference, 2007.
12	KHAN S A , SALEEM S , HASSAN S A , et al. An improved data-aided linear estimator of modulation index for binary CPM signals[J]. IEEE Signal Processing Letters, 2019, 26 (5): 780- 784. doi: 10.1109/LSP.2019.2907797
13	ULLAH S A , KHALID I , SALEEM S , et al. On the estimation of modulation index for binary full response CPM signals[J]. IEEE Communications Letters, 2018, 22 (5): 918- 921. doi: 10.1109/LCOMM.2018.2812793
14	MUNAWAR T , SALEEM S , HASSAN S A , et al. Estimation of modulation index for partial response CPM signal[J]. IEEE Access, 2018, 6, 7664- 7674. doi: 10.1109/ACCESS.2018.2794959
15	BIANCHI P , LOUBATON P , SIRVEN F . Non data-aided rstimation of the modulation index of continuous phase modula tions[J]. IEEE Trans.on Signal Processing, 2004, 52 (10): 2847- 2861. doi: 10.1109/TSP.2004.832023
16	ZHONG Z G , ZHANG L M , WU H Z , et al. Non prior knowledge estimation of modulation index for angle modulation signals[J]. Procedia Engineering, 2011, 23, 642- 646. doi: 10.1016/j.proeng.2011.11.2559
17	彭耿, 黄知涛, 姜文利, 等. 角度调制信号调制指数盲估计研究[J]. 电子学报, 2010, 38 (4): 737- 741.
	PENG G , HUANG Z T , JIANG W L , et al. Study on blind estimation of modulation index of angle modulated signal[J]. Chinese Journal of Electronics, 2010, 38 (4): 737- 741.
18	KAY S . A fast and accurate single frequency estimator[J]. IEEE Trans.on Acoustics, Speech, and Signal Processing, 1989, 37 (12): 1987- 1990. doi: 10.1109/29.45547
19	BENEDICT T , SOONG T . The joint estimation of signal and noise from the sum envelope[J]. IEEE Trans.on Information Theory, 1967, 13 (3): 447- 454. doi: 10.1109/TIT.1967.1054037
20	REED R E, WIC KERT M A. Symbol-rate detection by a power- series-nonlinear envelope detector receiver[C]//Proc.of International Phoenix Conference on Computers & Communications, 1988.
21	YAN C X, WANG H, KUANG J M, et al. Design and performance evaluation of feedforward timing estimator for M-PSK signals[C]//Proc.of International Conference on Wireless Communications, 2009, 625-628.
22	费业泰. 误差理论与数据处理[M]. 5版北京: 机械工业出版社, 2004.
	FEI Y T . Error theory and data processing[M]. 5th ed Beijing: Machinery Industry Press, 2004.
23	RIFE D , BOORSTYN R . Single tone parameter estimation from discrete-time observations[J]. IEEE Trans.on Information Theory, 1974, 20 (5): 591- 598. doi: 10.1109/TIT.1974.1055282
24	GIANNAKIS G B , TSATSANIS M K . Signal detection and classification using matched filtering and highe r order statistics[J]. IEEE Trans.on Acoustics Speech & Signal Processing, 1990, 38 (7): 1284- 1296.
25	CUSICK T W , DOBBERTIN H . Some new three-valued cross-correlation functions for binary m-sequences[J]. IEEE Trans.on Information Theory, 1996, 42 (4): 1238- 1240. doi: 10.1109/18.508848

参数	均方差
参数	σ_m	σ_b
m=0.6, b=0.8	9.275×10^－4	1.846 9×10^－4
m=0.4, b=0.8	14.001×10^－4	1.828 5×10^－4
m=0.6, b=0.6	7.830 7×10^－4	2.445 9×10^－4

组号	载波频率/MHz	副载波频率/MHz	c₀码速率/MHz	c₁码速率/kHz	c₀码相位/s	c₁码相位/s	幅度A	调制指数m	调制指数b
1	2 250.651	0.425	0.256	8.000	-0.451	-0.326	7.986	0.831	1.036
2	2 250.651	0.425	0.256	8.000	-0.241	-0.312	7.986	0.829	1.035
3	2 250.651	0.425	0.256	8.000	-0.325	-0.301	7.987	0.830	1.036

基带信号	归一化互相关函数最大值
s_base1	0.999 2
s_base2	0.998 5

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非合作USB测控信号调制指数估计算法

Estimation algorithm of modulation index for non-cooperative USB TT & C signal

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