Title :
Generalized Q-functions for application to noncoherent serial detection of spread-spectrum communication signals
Author_Institution :
INFOCOM Dept., Rome Univ., Italy
fDate :
5/1/2000 12:00:00 AM
Abstract :
This correspondence considers performance analysis of a particular sequential hypothesis test based on noncoherent correlation from overlapping data, which has application in acquisition for spread-spectrum communications. The main contribution of the correspondence is to define a special function (GQ-function) and to express the false alarm and detection probabilities in terms of these functions. The evaluation of these functions in terms of a truncated series is also discussed and compared with standard techniques. An upper bound of the approximation error is derived to determine the number of terms for a given accuracy. Some examples of application to serial detection of direct-sequence spread-spectrum signals are provided, evidencing the possible reduction of the mean acquisition time allowed by multidwell serial tests
Keywords :
Bessel functions; approximation theory; correlation methods; error analysis; probability; series (mathematics); signal detection; spread spectrum communication; DS-SS; SS communication signals acquisition; accuracy; approximation error; direct-sequence spread-spectrum signals; false alarm probability; false detection probability; generalized Q-functions; mean acquisition time reduction; multidwell serial tests; noncoherent correlation; noncoherent serial detection; overlapping data; performance analysis; sequential hypothesis test; spread-spectrum communication signals; truncated series; upper bound; zero-order modified Bessel function; Approximation error; Multiaccess communication; Performance analysis; Probability; Sequential analysis; Signal detection; Signal processing; Spread spectrum communication; Testing; Upper bound;
Journal_Title :
Signal Processing, IEEE Transactions on
