Pseudo-blind demodulation of chaotic DS-SS signals through Exact Kalman Filtering

Abstract : This paper adresses the problem of symbol estimation in the case of a spread spectrum based system where the receiver has only the information about the nonlinear function used to generate the spreading sequence. We propose two methods to achieve this, first based on the already considered DUAL form and a correlator second based one. For the DUAL form we consider multiple Kalman filter implementations suited to the case of nonlinear estimation methods among them Unscented Kalman Filter (UKF) and Exact Polynomial Kalman Filter (ExPKF). Finaly to provide a perfomance evaluation on the proposed methods we obtain throughout Monte-Carlo simulations the Bit Error Rate (BER) characteristics with respect to Signal to Noise Ratio (SNR).
Type de document :
Communication dans un congrès
IEEE COMM'06, Jun 2006, Bucarest, Romania. pp.1-4, 2006
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http://hal.univ-brest.fr/hal-00485412
Contributeur : Stéphane Azou <>
Soumis le : jeudi 20 mai 2010 - 16:39:00
Dernière modification le : mardi 16 janvier 2018 - 15:54:25

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  • HAL Id : hal-00485412, version 1

Citation

Mihai Bogdan Luca, Stéphane Azou, Emanuel Hodina, Alexandru Serbanescu, Gilles Burel. Pseudo-blind demodulation of chaotic DS-SS signals through Exact Kalman Filtering. IEEE COMM'06, Jun 2006, Bucarest, Romania. pp.1-4, 2006. 〈hal-00485412〉

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