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| A Noncoherent Detection Method for Chaos-Shift-Keying Communication System Based on Unscented Kalman Filter |
| Chen Hong-bin; Feng Jiu-chao; Hu Zhi-hui |
| College of Electronic & Information Engineering, South China University of Technology, Guangzhou 510641, China |
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Abstract An Unscented Kalman Filter (UKF) based noncoherent detection method for Chaos-Shift-Keying (CSK) communication system is proposed in this paper. The first symbol is used as the training symbol. The carrier signal is estimated from the received signal over the interval of the first symbol duration by using the unscented Kalman filtering algorithm. Then the estimated carrier signal is multiplied with the successive received signal, respectively, to demodulate the successive transmitted symbols. In comparison with the coherent detection method, this algorithm does not require chaos synchronization. In comparison with the existing noncoherent detection methods, simulation results indicate that the method has better BER performance, even outperforms that of the FM-DCSK communication system.
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Received: 25 December 2006
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2008, Vol. 30 
