OBPSR: A multi-signal receiver based on the orthogonal and bandpass sampling techniques

Lami, Ihsan and Al-Aboodi, Maher (2013) OBPSR: A multi-signal receiver based on the orthogonal and bandpass sampling techniques. In: 2013 International Conference on Computer Applications Technology (ICCAT), 20-22 Jan. 2013, Sousse, Tunisia.

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Abstract

Multi-signal receivers with integrated functions in the receive/transmit chain are desired in Wireless technology devices such as Smartphones, due to processing time, cost and size saving. This paper proposes a new multi-signal receiver design that formats signals orthogonally for processing by a single Costas Quadrature Phase-Locked-Loop CQPLL; thus allowing the digital processor to switch from tracking/decoding anyone of the received signals to the other without losing phase lock or time. Our receiver utilizes a Hilbert Transform for shifting one of the signals by 90° to prevent overlapping before using Bandpass sampling to fold the two signals to the same frequency in the First Nyquist Zone. The resultant orthogonal kernels are fed to a single CQPLL for tracking and demodulation. Matlab simulations prove our new technique that also reduces the sampling frequency to a rate proportional to the maximum bandwidth, instead of the summation of bandwidths, of the input signals.

Item Type: Conference or Workshop Item (Paper)
Additional Information: © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: BPSR; Orthogonal signals; PLL; multi-signal receiver; signal tracking
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Divisions: School of Science > Applied Computing
Depositing User: Ihsan Lami
Date Deposited: 24 Aug 2015 13:58
Last Modified: 01 Sep 2016 14:28
URI: http://bear.buckingham.ac.uk/id/eprint/68

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