Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485731
Title: Array signal processing for communications from high altitude platforms and other applications
Author: Xu, Zhengyi
Awarding Body: University of York
Current Institution: University of York
Date of Award: 2007
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Abstract:
Digital beamforming (DBF) technology using antenna array has reached a sufficient level of maturity that it can be applied to communications to improve system capacity. In this thesis, the applications to digital beamforming in the communications from high altitude platforms (HAPs) and the high data rate OFDM signal transmission in underwater acoustic channel are respectively investigated. Both conventional and adaptive beamforming methods are investigated in the application to HAP communications. A three-step footprint optimization method based on planar array and hexagonal cellular structure is proposed to generate arbitrary beampattern footprints. A vertical antenna array forming ring-shaped cells is shown to improve the coverage performance and reduce system complexity. In the adaptive beamforming scenario, the minimum variance distortionless response (MVDR) beamformer is investigated. We show that the robustness of the MVDR beamformer can be improved by applying the Mailloux’s null-broadening method in the downlink scenario and propose a modified constrained optimization method, which further improves the performance of Mailloux’s method. Finally, a method combining cellular and null-broadening adaptive beamforming is proposed. Simulation results show that the method achieves better coverage performance for cellular communications than when using the same number of aperture antennas. Its advantages in payload reduction are even more significant. The adaptive beamforming techniques are also applied in the receiver design for high data rate OFDM signal transmission in the fast-varying underwater acoustic channel. This work is based on experimental data obtained in the Pacific Ocean at a distance of 30 km in 1989. Several space-time signal processing techniques are investigated. A variety of direction of arrival (DoA) estimation methods are considered, which are based on signal interpolation and the modified MVDR beamformer. The DoA estimates are used for angle-separation of signals for accurate time-delay compensation. The OFDM signals from different directions are linearly combined after Doppler compensation and channel equalization. An adaptive Doppler filter is applied in frequency domain for removing residual intersymbol interference. The null-broadening beamforming method, originally proposed in the HAPs communications, is applied to improve the robustness of the MVDR beamformer. Experimental results show that the adaptive beamforming based space-time techniques are efficient and provide the bit-error-rate of 10¡3 and 10¡2 respectively for the data efficiency 0.5 bit/s/Hz and 1 bit/s/Hz.
Supervisor: Zakharov, Yuriy Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.485731  DOI: Not available
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