Robust receiver for OFDM-DCSK modulation via rank-1 modeling and t p -minimization

A B S T R A C T In this paper, the problem of receiver design for orthogonal frequency division multiplexing differential chaos shift keying (OFDM-DCSK) communication systems is addressed. By exploiting the rank-1 prop-erty of the symbol matrix, we propose to apply dimensionality reduction on the time-domain data sym-bols received from the OFDM-DCSK transmitter for noise reduction, followed by chaotic demodulation on the resultant symbols to decode the information bits. In the presence of additive white Gaussian noise (AWGN), the rank-1 matrix approximation can be simply achieved by the truncated singular value decom-position, corresponding to the solution of t 2-norm minimization. While for impulsive noise environments such as in power line communication systems, we develop an alternating optimization algorithm for tp- based matrix factorization, where 0 < p < 2 . The bit error rate (BER) of our approach in AWGN is also analyzed and verified. Simulation results demonstrate that the devised receiver is superior to the con-ventional OFDM-DCSK method in terms of BER and root mean square error performance for AWGN as well as impulsive noise including the Middleton class A distribution and a-stable process. (c) 2021 Elsevier B.V. All rights reserved. Superscript/Subscript Available

Automated summary

This paper addresses the receiver design problem for OFDM-DCSK communication systems, proposing dimensionality reduction and chaotic demodulation techniques for noise reduction and information decoding. The proposed approach outperforms conventional methods in terms of BER and error performance in both AWGN and impulsive noise environments.