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Maximum Likelihood and Signal-Selective TDOA Estimation for Noncircular Signals

  • Wen, Fei (Air Control and Navigation Institution, Air Force Engineering University) ;
  • Wan, Qun (Department of Electronic Engineering, University of Electronic Science and Technology of China)
  • 투고 : 2012.05.20
  • 심사 : 2013.01.25
  • 발행 : 2013.06.30

초록

This paper addresses the issue of time-difference-of-arrival (TDOA) estimation for complex noncircular signals. First, under the wide-sense stationary assumption, we derive the maximum likelihood (ML) estimator and the Cramer-Rao lower bound for Gaussian noncircular signals in Gaussian circular noise. The ML estimator uses the second-order statistics information of a noncircular signal more comprehensively when compared with the cross-correlation (CC) and the conjugate CC estimators. Further, we present a scheme to modify the traditional signal-selective TDOA methods for noncircular signals on the basis of the cyclostationarity of man-made signals. This scheme simultaneously exploits the information contained in both the cyclic cross-correlation (CCC) and the conjugate CCC of a noncircular signal.

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참고문헌

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