Chaos Modulation and Equalization for Robust Wireless Communications

Li, Boyuan

Chaos Modulation and Equalization for Robust Wireless Communications

dc.contributor.advisor	Leung, Henry
dc.contributor.author	Li, Boyuan
dc.contributor.committeemember	Messier, Geoffrey
dc.contributor.committeemember	Helaoui, Mohamed
dc.contributor.committeemember	Fapojuwo, Abraham
dc.contributor.committeemember	Kaddoum, Georges
dc.date	2022-05
dc.date.accessioned	2022-01-31T20:02:20Z
dc.date.available	2022-01-31T20:02:20Z
dc.date.issued	2022-01-28
dc.description.abstract	This thesis focuses on using chaos modulation and equalization to enhance the robustness of wireless communication. Our contributions are three-fold: For the Industrial Internet of Things (IIoT), a quadratic ergodic chaotic parameter modulation (QECPM) is proposed. We use software-defined radios (SDRs) to show that QECPM is robust against timing synchronization errors, which have a major effect on performance. The bit-error-rate (BER) performance of QECPM in Nakagami-m fading channels is derived and verified by simulations. In a multipath-rich channel, QECPM demonstrates superior performance to conventional modulations. Furthermore, we show that retransmissions causes misaligned packets; however, when using the proposed receiver, the error bits are sparse enough to utilize the non-retransmission mode to maintain stable link rates. In a denoise-and-forward (DNNF) two-way relay system, the signals are asynchronous. For most denoising and decoding methods, precise estimation of the delay is required by the relay and end users, which is not always available. Using the ergodic property of chaotic signals, we propose to address the asynchronous problem using ergodic chaotic parameter modulation (ECPM) and guarding intervals (GIs). The theoretical BER performance is analyzed and verified by simulations. A relay selection method is also proposed for two-way relay systems with multiple relays to achieve improved performance compared to using all relays. Chaos modulation signals can be blindly equalized using phase space volume (PSV). A maximum likelihood-PSV (ML-PSV) estimation and the Cramer Rao Lower Bound (CRLB) are derived. The ML-PSV algorithm is applied to blind system identification of autoregressive (AR) and moving average (MA) models as well as equalization. A method for ECPM to identify the constructive/destructive channel is developed. The destructive channel effect can be mitigated using the proposed equalization. Our approach is validated using SDRs. Our results show that ECPM with ML-PSV equalization is more robust than comparing methods.	en_US
dc.identifier.citation	Li, B. (2022). Chaos Modulation and Equalization for Robust Wireless Communications (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.	en_US
dc.identifier.doi	http://dx.doi.org/10.11575/PRISM/39563
dc.identifier.uri	http://hdl.handle.net/1880/114358
dc.language.iso	eng	en_US
dc.publisher.faculty	Schulich School of Engineering	en_US
dc.publisher.institution	University of Calgary	en
dc.rights	University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.	en_US
dc.subject	Wireless communication	en_US
dc.subject	Chaos	en_US
dc.subject	Modulation	en_US
dc.subject	Equalization	en_US
dc.subject.classification	Engineering	en_US
dc.title	Chaos Modulation and Equalization for Robust Wireless Communications	en_US
dc.type	doctoral thesis	en_US
thesis.degree.discipline	Engineering – Electrical & Computer	en_US
thesis.degree.grantor	University of Calgary	en_US
thesis.degree.name	Doctor of Philosophy (PhD)	en_US
ucalgary.item.requestcopy	true	en_US