南華大學機構典藏系統:Item 987654321/25112
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    Please use this identifier to cite or link to this item: http://nhuir.nhu.edu.tw/handle/987654321/25112


    Title: An orthogonalized blind algorithm for hybrid of adaptive array and equalizer
    Authors: 吳建民;柳茂林;廖怡欽;Wu, Chien-Min;Leou, Maw-Lin;Liaw, Yi-Ching;Su, Hui-Kai
    Contributors: 資訊工程學系
    Keywords: adaptive array;equalizer;constant modulus algorithm;degrees of freedom;main-beam multipath interference;orthogonalized blind algorithm
    Date: 2014-02
    Issue Date: 2017-07-19 17:04:35 (UTC+8)
    Abstract: The problems generated by the interference will be more complicated in the future. A combination of adaptive array and equalizer has been employed to solve the problems of interference when an adaptive array alone cannot suppress all the interferences. A constant modules algorithm (CMA) of the combination system was proposed to solve the problems of insufficient degrees of freedom and main-beam multipath interference when no training signal is transmitted. The limitation of the CMA for combination systems is due to its slow rate of convergence. In this paper, an orthogonalized blind algorithm for hybrid of array and equalizer (OBHAE) is proposed to combat the problems of the interference. Because the modified input vector of the adaptive array is orthogonalized by the OBHAE in advance, the convergent rate of the CMA system can be improved by the OBHAE. When the coherent interference presents, the performance of the system will be degraded. In this paper, an orthogonalized spatial smoothing blind (OSSB) algorithm is proposed to further enhance the cancellation of the coherent interference. In the OSSB, we combine the OBHAE with the spatial smoothing method to combat the coherent interference problem. Simulation results are presented to demonstrate the merits of the OBHAE and the OSSB.
    Relation: International Journal of Communication Systems
    vol. 27, no. 2
    pp.201-215
    Appears in Collections:[Department of Computer Science and Information Engineering] Periodical Articles

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