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Proceedings Paper

Differential processing of location signals in time domain
Author(s): Wlodzimierz Pogribny; Igor Rozhankivsky; Zdzislav Drzycimski; Andrzej Milewski; Vasyl Lozynsky
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Paper Abstract

The methods of matching digital filtration of chirp-signa's in time domain are studied in this work. The advantages of this kind of processing in comparison to the processing on fast convolutions in frequency domain are demonstrated. The chirp signal aid smoothing window parameters have been studied to increase the ratio of the main lobe to side lobes of compression radio pulses. To increase the efficiency of the differential processing of location signals in time domain, the use of noise-like signal representation in sign delta modulation format (SignDM) has been proposed. The SignDM codes are determined by comparing the values of differences between signal samples in PCM formats with a differential zone, which is defined apriori. These codes belong to the set {-1, 0, l}. SignDM's sampling rate is equal to Nyquist's frequency. The resolution of matching filtration depending on the changing of differential zone is studied by computer simulations. The peculiarities of creating analog signals on the basis of the noise-like codes have been presented in this work, too. The stmcture of matching filter (MF) with Sign DM is represented, too.

Paper Details

Date Published: 9 February 2001
PDF: 11 pages
Proc. SPIE 4169, Sensors, Systems, and Next-Generation Satellites IV, (9 February 2001); doi: 10.1117/12.417120
Show Author Affiliations
Wlodzimierz Pogribny, Institute of Telecommunications of UTA (Poland)
Igor Rozhankivsky, Institute of Telecommunications of UTA (Poland)
Zdzislav Drzycimski, Institute of Telecommunications of UTA (Poland)
Andrzej Milewski, Institute of Telecommunications of UTA (Poland)
Vasyl Lozynsky, State Univ. Lviv Polytechnic (Ukraine)


Published in SPIE Proceedings Vol. 4169:
Sensors, Systems, and Next-Generation Satellites IV
Hiroyuki Fujisada; Joan B. Lurie; Alexander Ropertz; Konradin Weber, Editor(s)

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