Parameter estimation and modeling of interference cancellation technique for multiple signal recovery
Approved for public release; distribution is unlimited === In this thesis, the amplitude gain of received quadrature phase shift keying (QPSK) signals and interferences are estimated via the least squares error method in order to facilitate the implementation of reference-based successive interferen...
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Monterey, California. Naval Postgraduate School
2013
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ndltd-nps.edu-oai-calhoun.nps.edu-10945-360282015-02-18T15:55:36Z Parameter estimation and modeling of interference cancellation technique for multiple signal recovery Rios, Alexander Romero, Ric A. Ha, Tri T. Electrical and Computer Engineering Approved for public release; distribution is unlimited In this thesis, the amplitude gain of received quadrature phase shift keying (QPSK) signals and interferences are estimated via the least squares error method in order to facilitate the implementation of reference-based successive interference cancellation (RSIC). In the scenario considered for this thesis, a system of multi-platform receivers is assumed to be positioned within the overlapping coverage areas of transmitting base stations. The first receiver initiates the RSIC technique by obtaining a demodulated reference signal and forwarding that reference to the second receiver that separately collects a second signal corrupted by interference, which is actually a scaled version of the first signal with an unknown amplitude gain. This amplitude gain is estimated and applied to the known reference signal so that it is subtracted from the collected signal at the second receiver. The process continues with a third and fourth receiver (or potentially more receivers) until the final desired signal is separated from all the interferences. Finally, the accuracy of the estimations is evaluated and the symbol error rate performances via Monte Carlo simulations for QPSK modulation in a multi-platform system are presented. 2013-09-11T15:11:56Z 2013-09-11T15:11:56Z 2013-06 Thesis http://hdl.handle.net/10945/36028 This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. Monterey, California. Naval Postgraduate School |
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Approved for public release; distribution is unlimited === In this thesis, the amplitude gain of received quadrature phase shift keying (QPSK) signals and interferences are estimated via the least squares error method in order to facilitate the implementation of reference-based successive interference cancellation (RSIC). In the scenario considered for this thesis, a system of multi-platform receivers is assumed to be positioned within the overlapping coverage areas of transmitting base stations. The first receiver initiates the RSIC technique by obtaining a demodulated reference signal and forwarding that reference to the second receiver that separately collects a second signal corrupted by interference, which is actually a scaled version of the first signal with an unknown amplitude gain. This amplitude gain is estimated and applied to the known reference signal so that it is subtracted from the collected signal at the second receiver. The process continues with a third and fourth receiver (or potentially more receivers) until the final desired signal is separated from all the interferences. Finally, the accuracy of the estimations is evaluated and the symbol error rate performances via Monte Carlo simulations for QPSK modulation in a multi-platform system are presented. |
author2 |
Romero, Ric A. |
author_facet |
Romero, Ric A. Rios, Alexander |
author |
Rios, Alexander |
spellingShingle |
Rios, Alexander Parameter estimation and modeling of interference cancellation technique for multiple signal recovery |
author_sort |
Rios, Alexander |
title |
Parameter estimation and modeling of interference cancellation technique for multiple signal recovery |
title_short |
Parameter estimation and modeling of interference cancellation technique for multiple signal recovery |
title_full |
Parameter estimation and modeling of interference cancellation technique for multiple signal recovery |
title_fullStr |
Parameter estimation and modeling of interference cancellation technique for multiple signal recovery |
title_full_unstemmed |
Parameter estimation and modeling of interference cancellation technique for multiple signal recovery |
title_sort |
parameter estimation and modeling of interference cancellation technique for multiple signal recovery |
publisher |
Monterey, California. Naval Postgraduate School |
publishDate |
2013 |
url |
http://hdl.handle.net/10945/36028 |
work_keys_str_mv |
AT riosalexander parameterestimationandmodelingofinterferencecancellationtechniqueformultiplesignalrecovery |
_version_ |
1716730869436121088 |