Journal of Electrical and Electronic Engineering
Volume 6, Issue 3, June 2018, Pages: 75-79
Received: Jul. 13, 2018;
Accepted: Jul. 31, 2018;
Published: Aug. 22, 2018
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Li Deng, School of Civil Aviation Safety Engineering, Civil Aviation Flight University of China, Guanghan City, China; School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
Quanyi Liu, School of Civil Aviation Safety Engineering, Civil Aviation Flight University of China, Guanghan City, China
Yuanhua He, School of Civil Aviation Safety Engineering, Civil Aviation Flight University of China, Guanghan City, China
Qian Chen, School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
In this paper, a new kind of nonlinear combining receiver of fast frequency hopping/multiple frequency shift keying (FFH/MFSK) modulation in GPS system is proposed. The performance of the receiver is analyzed in the effects of partial band noise jamming over additive white Gaussian noise channel and Ricean fading channel. The diversity of the system is performed using multiple hops per data bit. The non-central F distribution is found in the random variable of the division combining algorithm under the partial-band noise jamming in the additive white Gaussian noise channel. The mathematical results of the bit error ratio of the division combining system are achieved in both fading and non-fading channels. The numerical results are achieved by the simulation environment of the signal transmission while the signal to noise ratio was relatively small and the partial band noise jamming factor is relatively large. It was shown that the GPS system using division combining receiver has better performance under the strong partial band interference than the system without diversity and system with self-normalized combining receiver. This performance gain is because that the interference signal is scattered into several hops and partly diminished by the operation of division algorithm. As its simple structure to be implemented and anti-interference property, the proposed combining algorithm is useful for GPS signal transmission in the strong partial band noise jamming environment.
Performance Analysis of FFH/MFSK Using Division Combining Receiver in GPS System, Journal of Electrical and Electronic Engineering.
Vol. 6, No. 3,
2018, pp. 75-79.
L. Deng, K. Xu, Q. Wang and J. Sun, "Performance analysis of FFH/BFSK using division combining receiver in GPS system," 2016 12th World Congress on Intelligent Control and Automation (WCICA), Guilin, 2016, pp. 5-8.
H. Mezaoui, A. M. Hamza and P. T. Jayachandran, "Dynamic analysis of the polar ionosphere using the GPS signal: Toward an optimization of the cutoff scale," in Radio Science, vol. 52, no. 2, pp. 271-281, Feb. 2017.
Wang C, Walker R A, Moody M P. A GPS Signal Transmission Model for Improved Signal Antenna Attitude Determination. 2005
R. He, B. Ai, G. L. Stüber and Z. Zhong, "Mobility Model-Based Non-Stationary Mobile-to-Mobile Channel Modeling," in IEEE Transactions on Wireless Communications, vol. 17, no. 7, pp. 4388-4400, July 2018.
Y. He et al., "Performance analysis of a subset-based coherent FFH system with spatial modulation in Rayleigh fading channels with multitone jamming," in IET Communications, vol. 10, no. 16, pp. 2199-2205, 11 3 2016.
M. D. Theodoss and R. C. Robertson, "Performance of the FFH/BFSK self-normalized receiver with convolutional coding and soft decision decoding over Rician fading channels with partial-band noise interference," Military Communications Conference, 1996. MILCOM '96, Conference Proceedings, IEEE, McLean, VA, 1996, pp. 436-441 vol. 2.
Mattbew S Gast.802.11 Wireless Networks:The Definitive Guide. 2005.
E. Schmidt, Z. A. Ruble, D. Akopian and D. J. Pack, "A reduced complexity cross-correlation interference mitigation technique on a real-time software-defined radio GPS L1 receiver," 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS), Monterey, CA, 2018, pp. 931-939.
A. Tabatabaei, M. R. Mosavi and H. S. Shahhoseini, "MP Mitigation in Urban Canyons using GPS-combined-GLONASS Weighted Vectorized Receiver," in IET Signal Processing, vol. 11, no. 4, pp. 446-451, 6 2017.
Landry, R. J, Calmettes, V., Bousquet, M. Impact of interference on a generic GPS receiver and assessment of mitigation techniques. Spread Spectrum Techniques and Applications. 1998
J. S. Lee, L. E. Miller and Y. K. Kim, “Probability of error analysis of a BFSK frequency-hopping system with diversity under partial-band jamming interference-Part Ⅱ:Performance of a square law nonlinear combining –soft decision receivers,” IEEE Trans. Commun., vol. COM-32, no. 12, pp. 1243-1250, December 1984.
D. Whalen, Detection of Signals in Noise. New York: Academic, 1971.
M. Abramowitz and I. A. Stegun, Eds., Handbook of Mathematical Functions. Washington, DC: Gbv. Print. Off., 1964.
N. Milosevic, Z. Nikolic, and D. Paunovic, “Performance analysis of FFH/FSK system using diversity,” in Proc. 5th Int. Conf. Telecommunications in Modern Satellite, Cable and Broadcasting Service (TELSIKS’01), Sept. 2001, pp. 263-266.
Ye-Shun Shen and Szu-Lin Su, "Performance analysis of an FFH/BFSK receiver with self-normalizing combining in a fading channel under independent multitone interference," Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE, 2002, pp. 1319-1323 vol.2.