Improving the performance of chaos-based modulations via serial concatenation
IEEE Trans. on Circuits and Systems(2010)
摘要
This paper proposes a serially concatenated system with an outer convolutional channel encoder and an inner chaos-based coded modulator.With the help of the principles of symbolic dynamics, the chaotic modulation can be described in terms of a trellis. Owing to this, we show that the resulting system can be designed and analyzed following developments made for serially concatenated channel codes (SCCCs) or bit-interleaved coded-modulation systems. We show how the iterative decoding algorithm used in this concatenated framework can be analyzed through the well-known extrinsic information transfer chart device and how the bit error rate can be bounded using the transfer function of the convolutional channel encoder. Comparison with a related SCCC system in both additive white Gaussian noise and frequency-nonselective fading channels shows that this kind of chaos-based systems keeps the potential advantages of coded-modulation-based systems. We are thus confident that the principles shown here can lead to the design of competitive chaotic discrete communication systems.
更多查看译文
关键词
resulting system,frequency-nonselective fading channel,serially concatenated channel code,outer convolutional channel encoder,chaos-based modulation,bit-interleaved coded-modulation system,concatenated framework,convolutional channel encoder,chaos-based system,related sccc system,serial concatenation,coded-modulation-based system,concatenated codes,communication system,symbolic dynamics,fading channel,algorithm design and analysis,information analysis,convolutional codes,additive white gaussian noise,bit error rate,channel coding,information transfer,transfer function
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络