完整後設資料紀錄
DC 欄位語言
dc.contributor.authorHsieh, Wan-Hsinen_US
dc.contributor.authorChang, Chieh-Fuen_US
dc.contributor.authorKao, Ming-Sengen_US
dc.date.accessioned2015-07-21T11:20:54Z-
dc.date.available2015-07-21T11:20:54Z-
dc.date.issued2014-07-01en_US
dc.identifier.issn0018-9251en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TAES.2014.120460en_US
dc.identifier.urihttp://hdl.handle.net/11536/124170-
dc.description.abstractIn this paper, a novel method termed the phase coherence acquisition (PCA) is proposed for pseudorandom (PN) sequence acquisition. By employing complex phasors, the PCA requires only complex additions in the order of N, the length of the sequence, whereas the conventional method using fast Fourier transform (FFT) requires complex multiplications and additions both in the order of N log(2)N. To combat noise, the input and local sequences are partitioned and mapped into complex phasors in PCA. The phase differences between pairs of input and local phasors are used for acquisition; thus, complex multiplications are avoided. For more noise-robustness capability, the multilayer PCA is developed to extract the code phase step-by-step. The significant reduction of computational loads makes the PCA an attractive method, especially when the sequence length of N is extremely large, which becomes intractable for the FFT-based acquisition.en_US
dc.language.isoen_USen_US
dc.titleEfficient Acquisition Algorithm for Long Pseudorandom Sequenceen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TAES.2014.120460en_US
dc.identifier.journalIEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMSen_US
dc.citation.volume50en_US
dc.citation.spage1786en_US
dc.citation.epage1797en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:000346791100017en_US
dc.citation.woscount0en_US
顯示於類別:期刊論文


文件中的檔案:

  1. 000346791100017.pdf

若為 zip 檔案,請下載檔案解壓縮後,用瀏覽器開啟資料夾中的 index.html 瀏覽全文。