Approach to MAI cancellation for micro-satellite clusters

doi:10.21629/JSEE.2019.05.01

Journal of Systems Engineering and Electronics ›› 2019, Vol. 30 ›› Issue (5): 823-830.doi: 10.21629/JSEE.2019.05.01

• Electronics Technology • Next Articles

Approach to MAI cancellation for micro-satellite clusters

Jiajun HUANG(), Chaojie ZHANG*(), Xiaojun JIN()

Micro-Satellite Research Center, Zhejiang University, Hangzhou 310027, China

Received:2018-12-19 Online:2019-10-08 Published:2019-10-09
Contact: Chaojie ZHANG E-mail:11624025@zju.edu.cn;zhangcj@zju.edu.cn;axemaster@zju.edu.cn
About author:HUANG Jiajun was born in 1994. He received his B.E. degree from Dalian Maritime University. He is a Ph.D. candidate of the Micro-Satellite Research Center, Zhejiang University. His research interests include micro-transponder, inter-satellite ranging, and inband full-duplex. E-mail: 11624025@zju.edu.cn|ZHANG Chaojie was born in 1982. He received his B.E. and Ph.D. degrees from Zhejiang University in 2004 and 2009, respectively. Now he is an associate researcher at Zhejiang University. He has joined in the Micro-Satellite Research Center since he was a graduate student. His research interests include micro-satellite and software-defined radio technologies. E-mail: zhangcj@zju.edu.cn|JIN Xiaojun was born in 1977. He received his B.E, M.E. and Ph.D. degrees from Zhejiang University in 2001, 2004 and 2007, respectively. He joined the faculty of Zhejiang University in 2009 and has been an associate professor since 2010. His research interests include micro-satellite transponder technology, relative ranging, and navigation of micro-satellite formation flying. E-mail: axemaster@zju.edu.cn
Supported by:
the China National Funds of Distributed Young Scientists(61525403);the Fundamental Research Funds for the Central Universities(2018QNA4053);This work was supported by the China National Funds of Distributed Young Scientists (61525403) and the Fundamental Research Funds for the Central Universities (2018QNA4053)

Abstract

Abstract:

With the development of micro-satellite technology, traditional monolithic satellites can be replaced by micro-satellite clusters to achieve high flexibility and dynamic reconfiguration capability. For satellite clusters based on the frequency division-code division multiple access (FD-CDMA) communication system, the inter-satellite ranging precision is usually constrained due to the influence of multi-address interference (MAI). The multi-user detection (MUD) is a solution to MAI, which can be divided into two categories: the linear detector (LD) and the non-linear detector (NLD). The general idea of the LD is aiming to make a better decision during the symbol decision process by using the information of all channels. However, it is not beneficial for the signal phase tracking precision. Instead, the principle of the NLD is to rebuild the interference signal and cancel it from the original one, which can improve the ranging performance at the expense of considerable delays. In order to enable simultaneous ranging and communication and reduce multi-node ranging performance degradation, this paper proposes an NLD scheme based on a delay locked loop (DLL), which simplifies the receiver structure and introduces no delay in the decision process. This scheme utilizes the information obtained from the interference channel to reconstruct the interference signal and then cancels it from the original delayed signal. Therefore, the DLL input signal-to-interference ratio (SIR) of the desired channel can be significantly improved. The experimental results show that with the proposed scheme, the standard deviation of the tracking steady error is decreased from 5.59 cm to 3.97 cm for SIR = 5 dB, and 13.53 cm to 5.77 cm for SIR = -5 dB, respectively.

Key words: micro-satellite, satellite clusters, multi-user detection (MUD), interference cancellation, inter-satellite ranging

Jiajun HUANG, Chaojie ZHANG, Xiaojun JIN. Approach to MAI cancellation for micro-satellite clusters[J]. Journal of Systems Engineering and Electronics, 2019, 30(5): 823-830.

Figures/Tables 11

Fig 1

Fig 2

Table 1

Fig 3

Fig 4

Fig 5

Table 2

Fig 6

Fig 7

Fig 8

Fig 9

References 27

1	YIN J, CAO Y, LI Y H, et al. Satellite-based entanglement distribution over 1200 kilometers. Science, 2017, 356 (6343): 1140- 1144. doi: 10.1126/science.aan3211
2	GALATIS G, GUO J, BUURSINK J. Development of a solar array drive mechanism for micro-satellite platforms. Acta Astronautica, 2017, 139, 407- 418. doi: 10.1016/j.actaastro.2017.07.009
3	MAHESHWARAPPA M R, BOWYER M D J, BRIDGES C P. Improvements in CPU and FPGA performance for small satellite SDR applications. IEEE Trans. on Aerospace and Electronic Systems, 2017, 53 (1): 310- 322. doi: 10.1109/TAES.2017.2650320
4	WANG Y, YE W, HONG Y, et al. Feasibility study:highly integrated chipset design for compact synthetic aperture radar payload on micro-satellite. Journal of Electromagnetic Waves and Applications, 2017, 31 (6): 594- 603. doi: 10.1080/09205071.2017.1298477
5	JIA M, LIU X, YIN Z, et al. Joint cooperative spectrum sensing and spectrum opportunity for satellite cluster communication networks. Ad Hoc Networks, 2017, 58 (C): 231- 238.
6	YU Q Y, MENG W X, YANG M C, et al. Virtual multibeamforming for distributed satellite clusters in space information networks. IEEE Wireless Communications, 2016, 23 (1): 95- 101.
7	MIKHAILOV V N, KHACHATURIAN A B, MIKHEEV A S. CDMA signatures based on the shortened minimax binary sequences. Proc. of the Young Researchers in Electrical & Electronic Engineering, 2017, 704- 705.
8	YANG D, YANG J, LI G, et al. Globalization highlight:orbit determination using BeiDou inter-satellite ranging measurements. GPS Solutions, 2017, 21 (3): 1395- 1404. doi: 10.1007/s10291-017-0626-5
9	NAKASUKA S, MIYATA K, TSURUDA Y, et al. Discussions on attitude determination and control system for micro/nano/pico-satellites considering survivability based on Hodoyoshi-3 and 4 experiences. Acta Astronautica, 2018, 145, 515- 527. doi: 10.1016/j.actaastro.2018.02.006
10	CHEGINI M, SADATI H, SALARIEH H. Chaos analysis in attitude dynamics of a flexible satellite. Nonlinear Dynamics, 2018, 93 (3): 1421- 1438.
11	PINTO F, AFGHAH F, RADHAKRISHNAN R, et al. Software defined radio implementation of DS-CDMA in intersatellite communications for small satellites. Proc. of the IEEE International Conference on Wireless for Space & Extreme Environments, 2015: 1-6.
12	GAYVORONSKIY D V, DANILCHUK E A. Analysis of multiple-access interference for CDMA signals. Proc. of the Young Researchers in Electrical & Electronic Engineering, 2017: 144-145.
13	PUROHIT L S, AGARWAL A, THARANI L. An approach to compare the developments of MAI cancellation in multiuser detection of DS-CDMA system. Proc. of the International Conference on Soft Computing Techniques and Implementations, 2015: 81-84.
14	MOSHAVI S. Multi-user detection for DS-CDMA communications. IEEE Communications Magazine, 1996, 34 (10): 124- 136. doi: 10.1109/35.544334
15	MANNA T, KOLE A. Performance analysis of secure DSSS multiuser detection under near-far environment. Proc. of the International Conference on Intelligent Control Power and Instrumentation, 2016: 258-262.
16	VARANASI M K, AAZHANG B. Near-optimum detection in synchronous code-division multiple-access systems. IEEE Trans. on Communications, 1991, 39 (5): 725- 736. doi: 10.1109/26.87163
17	VOICU C, HALUNGA S, VIZIREANU N. Performances of decorrelating MUD using STBC for image transmissions in rayleigh fading channel. Proc. of the International Conference on Telecommunication in Modern Satellite, 2013, 2, 597- 600.
18	LUPAS R, VERDU S. Linear multiuser detectors for synchronous code-division multiple-access channels. IEEE Trans. on Information Theory, 1989, 35 (1): 123- 136. doi: 10.1109/18.42183
19	WU Z L, YIN L, CUI K, et al. A FPGA implementation of MMSE MUD algorithm for TDRSS. Proc. of the 4th International Conference on Instrumentation & Measurement, 2014: 427-430.
20	KAUR T, ARORA M. A dynamic successive interference cancellation (DSIC) scheme for latency reduction in MC-CDMA multiuser detection. Proc. of the International Conference on Next Generation Computing Technologies, 2016: 414-419.
21	DIVSALAR D, SIMON M K, RAPHAELI D. Improved parallel interference cancellation for CDMA. IEEE Trans. on Communications, 1998, 46 (2): 258- 268. doi: 10.1109/26.659484
22	BETZ J W, KOLODZIEJSKI K R. Generalized theory of code tracking with an early-late discriminator part Ⅱ:noncoherent processing and numerical results. IEEE Trans. on Aerospace and Electronic Systems, 2009, 45 (4): 1557- 1564. doi: 10.1109/TAES.2009.5310317
23	RYCROFT M J. Understanding GPS. Principles and applications. Journal of Atmospheric and Solar-Terrestrial Physics, 1997, 59 (5): 598- 599.
24	PARKINSON B W. Global positioning system: theory and applications, Volume Ⅱ. USA: AIAA, 1996.
25	LEE Y H, KIM S J. Sequence acquisition of DS-CDMA systems employing gold sequences. IEEE Trans. on Vehicular Technology, 2000, 49 (6): 2397- 2404. doi: 10.1109/25.901908
26	GONG M, LIN T. Research of narrow-band interference suppression technologies in DSSS communication systems. Proc. of the International Conference on Wireless Communications, 2009: 1-5.
27	MOSTAFA HJING G. Simulink implementation of a CDMA MIMO-beamforming system. Proc. of the International Symposium on Antenna Technology & Applied Electromagnetics, 2005: 1-4.

Parameter	Value
$f_{s}$/MHz	40
$f_{c}$/MHz	10
$f_\rm{PN}$/MHz	5.115
$f_{b}$/kHz	5
$N$	1 023
SNR/dB	100
$B_{L}$/kHz	1
$\xi _{L}$	0.707 1
$B_{Lp}$/Hz	200
$\xi _{Lp}$	0.707 1

Parameter	Value
$f_{s}$/MHz	40
$f_{c}$/MHz	10
$f_\rm{PN}$/MHz	5.115
$f_{b}$/kHz	5
$N$	1~023
$P_{T}$/dBm	20
$B_{L}$/kHz	1
$\xi _{L}$	0.707~1
$B_{Lp}$/Hz	200
$\xi _{Lp}$	0.707~1
$B_{fe}$/MHz	20

[1]	Yongjiang LUO, Luhao BI, Dong ZHAO. Adaptive digital self-interference cancellation based on fractional order LMS in LFMCW radar [J]. Journal of Systems Engineering and Electronics, 2021, 32(3): 573-583.
[2]	Yaowei ZHU, Zhaobin XU, Xiaojun JIN, Xiaoxu GUO, Zhonghe JIN. Integrated method for measuring distance and time difference between small satellites [J]. Journal of Systems Engineering and Electronics, 2021, 32(3): 596-606.
[3]	Md Rizwan KHAN, Bikramaditya DAS, Bibhuti Bhusan PATI. A criterion based adaptive RSIC scheme in underwater communication [J]. Journal of Systems Engineering and Electronics, 2021, 32(2): 408-416.
[4]	Jiuling XU, Chaojie ZHANG, Chunhui WANG, Xiaojun JIN. Approach to inter-satellite time synchronization for micro-satellite cluster [J]. Journal of Systems Engineering and Electronics, 2018, 29(4): 805-815.
[5]	Di Wu, Can Zhang, Shaoshuai Gao, and Heping Zhao. Full-duplex prototype based on joint passive and digital cancellation method [J]. Journal of Systems Engineering and Electronics, 2015, 26(4): 694-.
[6]	Song Changjian, Zhong Zifa & Zhang Shuo. Ping-pong effects study in PIC turbo joint detection for TDD CDMA [J]. Journal of Systems Engineering and Electronics, 2009, 20(2): 260-265.
[7]	Zhang Jingjuan & Chen Shiru. Algorithm of sky-ground-wave signal separation in CDMA system [J]. Journal of Systems Engineering and Electronics, 2008, 19(2): 234-240.
[8]	Yang Tao , Hu Bo & Guo Xinyue. Particle lter based stochastic interference cancellation for frequency-selective MIMO channel equalization [J]. Journal of Systems Engineering and Electronics, 2007, 18(3): 476-483.
[9]	Wang Xia, Zhu Shihua & Sun Delong. Cochannel interference cancelation for multiple access systems [J]. Journal of Systems Engineering and Electronics, 2007, 18(2): 223-228.

Approach to MAI cancellation for micro-satellite clusters

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

Share this article

Figures/Tables 11

References 27

Related Articles 9

Recommended Articles

Metrics

Comments