Abstract
A Fast de-hopping and FHP estimation model for Direct Sequence/Frequency Hopping Spread Spectrum (DS/FHSS) system is proposed. The Neural Networks (NNs) were used to mimic the Parallel Matched Filtering (PMF). The signal samples and its Fast Fourier Transform (FFT) were used for Back propagation Neural Network (BNN) training. The FH patterns designated as concatenated prime codes [8] were used for the Radial Basis Function (RBF) training. Computer simulations show that the proposed method can effectively identify the frequency and estimate its pattern. Small hardware resources compared with PMF hardware.
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References
Bouder, C., Burel, G.: Spread Spectrum Codes Identification by Neural Networks. In: Systems and Control: Theory and Applications, WSES, pp. 257–262 (2000) ISBN 960-8052-11-4
Day, P.S.: Handbook of Neural Computation. IOP Publishing Ltd and Oxford University Press (1997)
Dolent, M., Lorenz, D.R.: Recurrent Neural Network Topologies for Spectral State Estimation and Differentiation. In: ANNIE 2000 Conference, St. Louse MO (2000)
Chau, A.Y., Wang, J.K.: Spectral-Estimation-Based Acquisition for Frequency-Hopping Spread-Spectrum Communications in Nonfading or Rayleigh-Fading Channel. IEEE Transactions on Communications 45, IEEE (1997)
Berder, O., Bouder, C., Burel, G.: Identification of Frequency Hopping Communications. In: Problems in Modern Applied Mathematics, WSES, pp. 259–264 (2000) ISBN 960-8052-15-7
Hagan, T.M., Demuth, B.H., Beale, M.: Neural Network Design. PWS Publishing Co. (1996)
Fan, C.C., Tsai, Z.H.: A Differentially Coherent Delay-Locked Loop for Spread-Spectrum Tracking Receiver. IEEE Communication Letters 3, IEEE (1999)
Hong, C.F., Yang, G.C.: Concatenated Prime Codes. IEEE Communications Letters 3, 260–262 (1999)
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© 2004 Springer-Verlag Berlin Heidelberg
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Elhabian, T., Zhang, B., Shao, D. (2004). Fast De-hopping and Frequency Hopping Pattern (FHP) Estimation for DS/FHSS Using Neural Networks. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks - ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28648-6_39
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DOI: https://doi.org/10.1007/978-3-540-28648-6_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22843-1
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