DocumentCode :
305010
Title :
A digital feedforward acquisition algorithm for DS-SS transmissions
Author :
Fratu, Octavian ; Halunga, Simona
Author_Institution :
Dept. of Telecommun., Politehnica Univ. of Bucharest, Romania
Volume :
2
fYear :
1996
fDate :
22-25 Sep 1996
Firstpage :
766
Abstract :
This paper presents a new digital feedforward algorithm applicable in DS-SS signals acquisition when the PN code employed is not very long. The algorithm is at first developed in noise free environments, and then analyzed in the presence of a white Gaussian noise. As the acquisition time is fixed (Tacq=NTc), the main parameter of interest is the acquisition error probability. A numerical computation shows that, when only one DFT sample is used, the results obtained are very poor. Therefore, an extended feedforward algorithm is developed, which uses all the samples of the DFT and makes a statistical mean. The results obtained using this extended algorithm are considerably better but it still needs to be followed by a second one, which use the a priori information to achieve a small acquisition time, while the acquisition probability is unitary
Keywords :
Gaussian noise; discrete Fourier transforms; error statistics; feedforward; phase estimation; probability; pseudonoise codes; signal sampling; spread spectrum communication; white noise; DFT sample; DS-SS signals acquisition; DS-SS transmissions; PN code; acquisition error probability; acquisition time; digital feedforward acquisition algorithm; extended feedforward algorithm; noise free environments; phase shift estimation; statistical mean; white Gaussian noise; Algorithm design and analysis; Costing; Digital integrated circuits; Discrete Fourier transforms; Error probability; Gaussian noise; Signal processing; Signal processing algorithms; Spread spectrum communication; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spread Spectrum Techniques and Applications Proceedings, 1996., IEEE 4th International Symposium on
Conference_Location :
Mainz
Print_ISBN :
0-7803-3567-8
Type :
conf
DOI :
10.1109/ISSSTA.1996.563227
Filename :
563227
Link To Document :
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