Combined iterative cross-correlation demodulation scheme for mixing space borne automatic identification system signals

Shou-zhong Zhu , Xiao-ling Wang , Wen-li Jiang , Xi-xiang Zhang

Journal of Central South University ›› 2013, Vol. 20 ›› Issue (3) : 670 -677.

PDF
Journal of Central South University ›› 2013, Vol. 20 ›› Issue (3) : 670 -677. DOI: 10.1007/s11771-013-1534-7
Article

Combined iterative cross-correlation demodulation scheme for mixing space borne automatic identification system signals

Author information +
History +
PDF

Abstract

Aiming at the potential presence of mixing automatic identification system (AIS) signals, a new demodulation scheme was proposed for separating other interfering signals in satellite systems. The combined iterative cross-correlation demodulation scheme, referred to as CICCD, yielded a set of single short signals based on the prior information of AIS, after the frequency, code rate and modulation index were estimated. It demodulates the corresponding short codes according to the maximum peak of cross-correlation, which is simple and easy to implement. Numerical simulations show that the bit error rate of proposed algorithm improves by about 40% compared with existing ones, and about 3 dB beyond the standard AIS receiver. In addition, the proposed demodulation scheme shows the satisfying performance and engineering value in mixing AIS environment and can also perform well in low signal-to-noise conditions.

Keywords

space borne automatic identification system / combined iterative cross-correlation demodulation scheme / bit error rate / simulation

Cite this article

Download citation ▾
Shou-zhong Zhu, Xiao-ling Wang, Wen-li Jiang, Xi-xiang Zhang. Combined iterative cross-correlation demodulation scheme for mixing space borne automatic identification system signals. Journal of Central South University, 2013, 20(3): 670-677 DOI:10.1007/s11771-013-1534-7

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

MiguelA C, AlbertoG. Satellite-based vessel automatic identification system: A feasibility and performance analysis [J]. International Journal of Satellite Communications and Networking, 2011, 29(2): 117-142

[2]

ZhangZ-s, JohnW F, TarunS. Combined differential demodulation schemes for satellite-based AIS with GMSK signals [J]. Space Missions and Technology, 20101-12

[3]

JamesR H, PeterJ W. Single channel non-stationary stochastic signal separation using linear time-varying filters [J]. IEEE Trans on Signal Processing, 2003, 51(7): 1739-1752

[4]

CaiQ-w, Weiping. Single channel multi components separating [J]. Journal of Communication, 2006, 27(6): 49-56

[5]

ScottC D. Fixed-point algorithms for the blind separation of arbitrary complex-valued non-Gaussian signal mixtures [J]. Journal of Advances in Signal Processing, 2007, 9(1): 1-15

[6]

ErikssonJ, KoivunenV. Complex random vector sand ICA models: Identifiability, uniqueness, and separability [J]. IEEE Transactions on Information Theory, 2006, 52(3): 1017-1029

[7]

DouglasS C, YuanZ, OjaE. Average convergence behavior of the fast ICA algorithm for blind source separation[C]. Proceedings of the 6th International Conference on Independent Component Analysis and Blind Signal Seperation, 2006BerlinSpringer-Verlag790-798

[8]

CuiR-t, LiH, WanJian. An over-sampling based blind separation algorithm of single channel MPSK signals [J]. Journal of Electronics & Information Technology, 2009, 31(3): 566-569

[9]

JamesC J. On the use of single-channel for sensing multisource activity in biomedical signals [C]. Proc of the 4th Annual IEEE Conf on Information Technology Applications in Biomedicine, 2003UKIEEE366-369

[10]

JamesC J, DavidlL. Extracting multisource brain activity from a single electromagnetic channel [J]. Artificial Intelligence in Medicine, 2003, 28: 89-104

[11]

AlexandrovT, GolyandinaN. Automatic extraction and forecast of time series cyclic components within the framework of SSA [C]. Proc of the 5th St Petersburg Workshop on Simulation. USA, 200545-50

[12]

MaH-g, JIANGQ B A n b s s m f s-c s [J]Signal Processing, 2010, 90(12): 3232-3241

[13]

LaurentP. Exact and approximate construction of digital phase modulations by superposition of amplitude modulated pulse (AMP) [J]. IEEE Transactions on Communications, 1986, 34(2): 50-160

[14]

SmithD C, NelsonD J. A comparison of two methods for demodulating a target AIS signal through a collision with an interfering AIS signal [J]. Mathematics for Signal and Information Processing, 2011, 7: 1-12

[15]

NelsonD J, HopkinsJ R. GMSK co-channel demodulation [J]. Mathematics for Signal and Information Processing, 2009, 5: 1-11

[16]

TimonthyJ MJoint demodulation of low-entropy narrowband co-channel signals [D], 2006CaliforniaNaval Postgraduate School, Monterey

[17]

SeemaS. A robust joint model-based demodulator for continuous phase modulation signals in unknown environment [J]. IEEE GLOBECOM, Telecommunication, 2008, 130(4): 1-5

[18]

SeemaS, EdwardB P. Performance of the joint reduced rank model-based demodulator for asynchronous co-channel GMSK signals [C]. Aerospace Conference Chantilly, 2010USAIEEE1-6

[19]

MariaA, GhislainR. FM discriminator for AIS satellite detection [J]. Social-informatics and Telecommunications Engineering, 2010, 43: 19-34

[20]

PhilipR, CowleSSatellite detection of automatic identification system signals, 2009

[21]

NelsonD J, SmithD C. A linear model for TF distribution of signals [J]. IEEE Sig Proc Trans, 2006, 4(9): 3435-3447

[22]

RuiG-s, XuB, ZhangS. Parallel time-delay estimation algorithm for GMSK mixing signals [J]. Journal of Communications, 2011, 32(6): 32-37

[23]

LiuZ-m, HuangZ-tao. Direction-of-arrival estimation of wideband signals via covariance matrix sparse representation [J]. IEEE Trans On Sp, 2011, 59(9): 4256-4270

[24]

XuZ-q, ZhaiM-y, CuiXiang. Adaptive resource allocation for multi-user multi-server power-line communication OFDM systems [J]. Journal of Central South University of Technology, 2011, 18(2): 479-489

[25]

LuF-b, HuangZ-t, JiangW-li. Underdetermined blind separation of non-disjoint communication signals in the time-frequency domain [J]. Journal of National University of Defense Technology, 2010, 32(5): 80-85

AI Summary AI Mindmap
PDF

133

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/