메뉴 건너뛰기




Volumn 3, Issue 4, 2004, Pages 1024-1030

A joint performance measure for the decorrelating multiuser detector

Author keywords

Correctly decoded users; Decorrelating detector; Equicorrelated signatures; Multiuser detection

Indexed keywords

CODE DIVISION MULTIPLE ACCESS; COMPUTER SIMULATION; CORRELATION METHODS; DECODING; ERROR ANALYSIS; GAUSSIAN NOISE (ELECTRONIC); MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS; SIGNAL TO NOISE RATIO; WAVEFORM ANALYSIS;

EID: 3142736057     PISSN: 15361276     EISSN: None     Source Type: Journal    
DOI: 10.1109/TWC.2004.830820     Document Type: Article
Times cited : (9)

References (8)
  • 4
    • 0033280843 scopus 로고    scopus 로고
    • Complexity of Verdú optimum multiuser detection algorithm in multichannel CDMA systems
    • Dec.
    • Q. Liu, R. A. Scholtz, and Z. Zhang, "Complexity of Verdú optimum multiuser detection algorithm in multichannel CDMA systems," IEEE Trans. Commun., vol. 47, pp. 1913-1920, Dec. 1999.
    • (1999) IEEE Trans. Commun. , vol.47 , pp. 1913-1920
    • Liu, Q.1    Scholtz, R.A.2    Zhang, Z.3
  • 5
    • 0034246956 scopus 로고    scopus 로고
    • Wideband code division multiple access
    • Aug.
    • L. B. Milstein, "Wideband code division multiple access," IEEE J. Select. Areas Commun., vol. 18, pp. 1344-1354, Aug. 2000.
    • (2000) IEEE J. Select. Areas Commun. , vol.18 , pp. 1344-1354
    • Milstein, L.B.1
  • 6
    • 0035091472 scopus 로고    scopus 로고
    • On the relative error probability of linear multiuser detectors
    • Jan.
    • G. V. Moustakides and H. V. Poor, "On the relative error probability of linear multiuser detectors," IEEE Trans. Inform. Theory, vol. 47, pp. 450-456, Jan. 2001.
    • (2001) IEEE Trans. Inform. Theory , vol.47 , pp. 450-456
    • Moustakides, G.V.1    Poor, H.V.2
  • 7
    • 0003579258 scopus 로고    scopus 로고
    • New York: Cambridge Univ. Press
    • S. Verdú, Multiuser Detection. New York: Cambridge Univ. Press, 1998.
    • (1998) Multiuser Detection
    • Verdú, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.