SeaRch-Efficient Methods of Detection of Cyclostationary Signals

IEEE Transactions on Signal Processing

Volumn 44, Issue 5, 1996, Pages 1214-1223

  Yeung, Grace K ^a,b   Gardner, William A ^a,b  

^a MISSION RESEARCH CORPORATION   (United States)

^b University of California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; CORRELATION METHODS; SPECTRUM ANALYSIS; SPURIOUS SIGNAL NOISE;

AUTOCORRELATED CYCLIC AUTOCORRELATION (ACA) METHOD; AUTOCORRELATED PERIODOGRAM (ACP) METHOD; CYCLOSTATIONARY SIGNALS;

SIGNAL DETECTION;

EID: 0030146438     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/78.502333     Document Type: Article

References (6)

1. W. A. Gardner, Signal interception: A unifying theoretical frameworfor feature detection, IEEE Trans. Commun., vol. 36, pp. 897-906Aug. 1988
2. Measurement of spectral correlation. IEEE Trans. Acousi.Speech, Signal Processing, vol. ASSP-34, pp. 1111-1123, Oct. 1986
3. Statistical Spectral Analysis: A Ntmpmbabilistic Theory. Englewood Cliffs, NJ: Prentice-Hall, 1987
4. R. S. Roberts, W. A. Brown, and 11. H. I.oomis, Jr., A review odigital spectral correlation analysis: Theory and implementation, iCycloslatiunarity in Cummunicalions and Signal Processing, W. AGardner, Ed. Piscataway, NJ: IEEE, 1994
5. 5j G. K. Yeung, New methods of cycle detection, Master's thesis, DepElect. Comput. Eng., Univ. California, Davis, June 1991
6. C. M. Spooner and W. A. Gardner, A performance comparison of twsignal analysis surfaces: ambiguity and spectral correlation, tech. rep92-1, Dep. Elect. Comput. Eng.. Univ. of Calif., Davis, 1992.