Adaptive Detection Of Polynomial-Phase Signals Embedded In Noise Using High-Order Ambiguity Functions (1997)
by
S. Barbarossa
,
R. Mareeli
,
A. Scaglione
| Citations: | 1 - 1 self |
BibTeX
@MISC{Barbarossa97adaptivedetection,
author = {S. Barbarossa and R. Mareeli and A. Scaglione},
title = {Adaptive Detection Of Polynomial-Phase Signals Embedded In Noise Using High-Order Ambiguity Functions},
year = {1997}
}
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Abstract
nals (PPS) has been extensively studied in the recent literature in view of possible important applications in remote sensing as well as in telecommunications. How- ever, the detection of PP$ has not received similar attention. In this paper we propose and analyze an adap- tive method for the detection of PPS embedded in white Caussian noise based on the use of the so called product high order ambiguity function.
Citations
| 9 | Estimation and classification of signals with polynomial phase - Peleg, Porat - 1991 |
| 5 | Multiplicative multilag higher-order ambiguity function - Barbarossa, Porchia, et al. - 1996 |
| 2 | Asymptotic theory of mixed time average and kth-order cyclic-moment and cumulant statistics - Dandawate, Giannakis - 1995 |
