Optimality in detecting targets with unknown location
Signal Processing
The Digital Signal Processing Handbook
The Digital Signal Processing Handbook
CFAR detection of multidimensional signals: an invariant approach
IEEE Transactions on Signal Processing
Blind estimation of direct sequence spread spectrum signals inmultipath
IEEE Transactions on Signal Processing
Optimal invariant detection of a sinusoid with unknown parameters
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
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This paper investigates the invariant detection problem of quadrature phase-shift keying (QPSK) direct sequence spread spectrum (DS-SS) signals in additive white Gaussian noise (AWGN). Using the complex Gaussian mixture signal model and invariance principle, we consider the constant-false-alarm-rate (CFAR) invariant detectors and other sub-optimal invariant tests, including the uniformly-most-powerful-invariant (UMPI) test and the generalized likelihood ratio test (GLRT). We derive an asymptotic locally most-powerful invariant (ALMPI) test and obtain the incoherent weighted multi-cycle detectors, which act as the performance upper bound of the spreading sequence period detectors based on second-order cyclostationary statistics. Simulation results demonstrate that, with finite observation samples, the ALMPI test exhibits better detection performance than the cycle feature detectors.