DocumentCode :
910315
Title :
Rapid acquisition sequences
Author :
Stiffler, Jack J.
Volume :
14
Issue :
2
fYear :
1968
fDate :
3/1/1968 12:00:00 AM
Firstpage :
221
Lastpage :
225
Abstract :
A recurring communications systems problem involves the determination, with relatively high precision, of the phase of a periodic, noise-corrupted signal. Perhaps the most commonly proposed signals for such purposes are pseudorandom sequences. Indeed, such signals are known to be optimum, at least when the noise is white and Gaussian, in the sense of minimizing the time needed to find the correct phase with a specified reliability. Equipment limitations, however, often preclude the efficient use of these sequences. In particular, suppose the received signal is known to be of the form y(t) = x(t - \\nu \\Delta T) + n(t) , with x(t) a signal periodic with period T , and n(t) additive white Gaussian noise. The problem is to determine as reliably and rapidly as possible the "phase" \\nu of the received signal. The optimum detector involves the formation of the N = \\Delta T/T correlations I_{\\nu} = \\int y(t)x(t - \\nu \\Delta T) dt and the selection of the largest of these. Frequently, however, equipment constraints force these correlations to be made serially. In this event, the required search time can be as much as N times as great as that needed in the absence of such constraints. Even the most sophisticated sequential search algorithms require search times directly proportional to N , the number of contending phases. In this paper a class of binary sequences is demonstrated which require a search time on the order of only (log2 N)2, a substantial improvement when N is large. These sequences are shown to be essentially optimum under the conditions outlined.
Keywords :
Correlators; Distance measurement; Phase detection; Radio distance measurement; Sequences; Signal acquisition; Synchronization; Additive noise; Additive white noise; Binary sequences; Detectors; Gaussian noise; Phase noise; Propulsion; Random sequences; Space technology; White noise;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1968.1054130
Filename :
1054130
Link To Document :
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