Title :
Adaptive detection of polynomial-phase signals embedded in noise using high-order ambiguity functions
Author :
Barbarossa, S. ; Mameli, R. ; Scaglione, A.
Author_Institution :
INFOCOM Dept., Rome Univ., Italy
Abstract :
The parameter estimation of polynomial-phase signals (PPS) has been extensively studied in the literature in view of possible important applications in remote sensing as well as in telecommunications. However, the detection of PPS has not received similar attention. We propose and analyze an adaptive method for the detection of PPS embedded in white Gaussian noise based on the use of the so called product high order ambiguity function.
Keywords :
Gaussian noise; adaptive signal detection; polynomials; statistical analysis; white noise; AWGN; adaptive detection; high-order ambiguity functions; parameter estimation; polynomial-phase signals; product high order ambiguity function; remote sensing; statistical analysis; telecommunications; white Gaussian noise; AWGN; Adaptive signal detection; Additive white noise; Frequency domain analysis; Gaussian noise; Parameter estimation; Performance analysis; Polynomials; Radar detection; Signal detection;
Conference_Titel :
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-8316-3
DOI :
10.1109/ACSSC.1997.679100
