Anti-Jamming Performance Simulation of PN-LFM Combined Ranging System

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The pseudo-random binary-phase code phase modulation and linear frequency modulation (PN-LFM) combined ranging system is a new detection system, which has proven to be powerful capacity in range resolution, velocity resolution and maximum range measurable without ambiguity. In this paper, we study the anti-jamming performance of the new ranging system, especially in the fractal stochastic noise environments. We analyze the impact mechanism of fractal noise on the PN-LFM detection system, and simulate the output of correlating detection. The cross correlation function, power spectrum function and average power of pseudo random signal and fractal noise are deduced, compared with the impact of white noise on the pseudo code detection system. Simulation shows that PN-LFM combined ranging system possess powerful anti-jamming capacity, and performs better in the fractal noise environment than Pseudo random code phase modulation system.

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159-164

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November 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Du hanqing. Anti-jamming Theory of radio fuze. Weapon Industry press, Beijing, (1988).

Google Scholar

[2] Zhang qingtai. Theory of general design of radio fuze. Beijing: National Defense Press, (1985).

Google Scholar

[3] Zhang lijun. Principle of circuit design of radio fuze. Beijing: Weapon Industry press, (1986).

Google Scholar

[4] Zhu xiaohua. Theroy and application of pulse position modulation and pulse trains radar signal Dissertation for Ph.D. degree, NUST, NanJing, (2002).

Google Scholar

[5] Liu jibin. Study on anti-jamming Theory of Pseudo random code fuze. Dissertation for Ph.D. degree, NUST, NanJing, 2004. 7.

Google Scholar

[6] Chen Shuang-pin, Zheng Hao-ran, Liu Jin-xia. Computation and Applications of Multi-fractal to Discrete Stationary Signals. Journal of Elec. & Information Technology, 2007, 29(5): 1054-1057.

Google Scholar

[7] Liu Ning-bo, Guan Jian. Judgment of Multifractal and Auto-computing of Generalized Dimension Spectrum Based on Sea Clutter. Journal of Naval Aero. & Astro. University, 2008, 2: 23~28.

Google Scholar

[8] Xiong Gang, Yang Xiaoniu, Zhao Hui-chang, The Non-Stationary Characteristic Analysis and Model of Sea Clutter of Fuze, IEEE 2005 MAPE, Beijing, 2005. 8: 1236~1239.

DOI: 10.1109/mape.2005.1618148

Google Scholar

[9] Ding Hao, Guan Jian, Huang Yong, Yu Shicai, He You. Detrended fluctuation analysis of non-stationary sea clutter. Chinese Journal of Radio Science, 2013, 1(28): 116-123.

Google Scholar

[10] Liu Ning-bo, Guan Jian, Huang Yong, He You. Target Detection within Sea Clutter Based on Multi Scale Hurst Exponent in Frequency Domain. ACTA Electronica SINICA, 2013, 3(41): 424-431.

DOI: 10.1109/lgrs.2012.2203578

Google Scholar

[11] A. G. Zambrana and A. P. Notario, Improving PPM Schemes in Wireless Infrared Links at High Bit Rates, IEEE Commun. Letters, Vol. 5, No. 3, 2001, 95~97.

DOI: 10.1109/4234.913151

Google Scholar