Robust Beamforming Using Signal Cyclostationary Under Cycle Frequency Error and Coherent Situation

碩士 === 國立臺灣大學 === 電信工程學研究所 === 90 === Adaptive beamforming technique is used to design a spatial filter, which suppressed the signal of non-interest and background noise, and receives the signal of interest. In the thesis, when coherent source is presented, we proposed a method of SS+TAM+...

Full description

Bibliographic Details
Main Authors: Chun-Wei Wang, 王俊惟
Other Authors: Jou-Hong Lee
Format: Others
Language:zh-TW
Published: 2002
Online Access:http://ndltd.ncl.edu.tw/handle/92524778146053884642
id ndltd-TW-090NTU00435077
record_format oai_dc
spelling ndltd-TW-090NTU004350772015-10-13T14:38:19Z http://ndltd.ncl.edu.tw/handle/92524778146053884642 Robust Beamforming Using Signal Cyclostationary Under Cycle Frequency Error and Coherent Situation 在週期頻率誤差及同調情況下利用信號週期恆定特性之強健式波束成型技術 Chun-Wei Wang 王俊惟 碩士 國立臺灣大學 電信工程學研究所 90 Adaptive beamforming technique is used to design a spatial filter, which suppressed the signal of non-interest and background noise, and receives the signal of interest. In the thesis, when coherent source is presented, we proposed a method of SS+TAM+Der scheme to solve the coherent situation. In recent years, the family of Self COherent REstoral(SCORE) algorithm proposed by Gardner has been shown be blindly extract cyclostationary signals. However, the algorithm fails in the multipath fading. Therefore, we developed an algorithm to extract signals by using the backward technique. Go ahead, we to observe a phenomenon when the cycle frequency is error and presented a robust method for adaptive beamforming. Final, we also developed a robust method under random cycle frequency error and coherent situation. Jou-Hong Lee 李枝宏 2002 學位論文 ; thesis 146 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺灣大學 === 電信工程學研究所 === 90 === Adaptive beamforming technique is used to design a spatial filter, which suppressed the signal of non-interest and background noise, and receives the signal of interest. In the thesis, when coherent source is presented, we proposed a method of SS+TAM+Der scheme to solve the coherent situation. In recent years, the family of Self COherent REstoral(SCORE) algorithm proposed by Gardner has been shown be blindly extract cyclostationary signals. However, the algorithm fails in the multipath fading. Therefore, we developed an algorithm to extract signals by using the backward technique. Go ahead, we to observe a phenomenon when the cycle frequency is error and presented a robust method for adaptive beamforming. Final, we also developed a robust method under random cycle frequency error and coherent situation.
author2 Jou-Hong Lee
author_facet Jou-Hong Lee
Chun-Wei Wang
王俊惟
author Chun-Wei Wang
王俊惟
spellingShingle Chun-Wei Wang
王俊惟
Robust Beamforming Using Signal Cyclostationary Under Cycle Frequency Error and Coherent Situation
author_sort Chun-Wei Wang
title Robust Beamforming Using Signal Cyclostationary Under Cycle Frequency Error and Coherent Situation
title_short Robust Beamforming Using Signal Cyclostationary Under Cycle Frequency Error and Coherent Situation
title_full Robust Beamforming Using Signal Cyclostationary Under Cycle Frequency Error and Coherent Situation
title_fullStr Robust Beamforming Using Signal Cyclostationary Under Cycle Frequency Error and Coherent Situation
title_full_unstemmed Robust Beamforming Using Signal Cyclostationary Under Cycle Frequency Error and Coherent Situation
title_sort robust beamforming using signal cyclostationary under cycle frequency error and coherent situation
publishDate 2002
url http://ndltd.ncl.edu.tw/handle/92524778146053884642
work_keys_str_mv AT chunweiwang robustbeamformingusingsignalcyclostationaryundercyclefrequencyerrorandcoherentsituation
AT wángjùnwéi robustbeamformingusingsignalcyclostationaryundercyclefrequencyerrorandcoherentsituation
AT chunweiwang zàizhōuqīpínlǜwùchàjítóngdiàoqíngkuàngxiàlìyòngxìnhàozhōuqīhéngdìngtèxìngzhīqiángjiànshìbōshùchéngxíngjìshù
AT wángjùnwéi zàizhōuqīpínlǜwùchàjítóngdiàoqíngkuàngxiàlìyòngxìnhàozhōuqīhéngdìngtèxìngzhīqiángjiànshìbōshùchéngxíngjìshù
_version_ 1717755653760483328