DocumentCode :
1706986
Title :
Dynamic range determination of the detectable parameters for polynomial phase signals using multiple lag diversities in high-order ambiguity functions
Author :
Xia, Xiang-Gen
Author_Institution :
Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA
fYear :
1998
Firstpage :
177
Lastpage :
180
Abstract :
Two lag diversities in the high-order ambiguity functions for single component polynomial phase signals (PPS) was previously explored by Zhou and Wang (see IEEE Signal Processing Letters, vo1.4, p.240-2, 1997). The lag diversity enlarges the dynamic range of the detectable parameters for PPS. We prove that the dynamic range obtained by Zhou and Wang is already the maximal one for the detectable parameters for single component PPS. The dynamic range for the detectable parameters for multi-component PPS is given when multiple lag diversities are used. We show that the maximal dynamic range is reached when the number of the lags in the high-order ambiguity function (HAF) is at least twice of the number of the single components in a multi-component PPS. More lags than twice of the number of the single components does not increase the dynamic range
Keywords :
frequency estimation; function evaluation; polynomials; signal detection; signal sampling; DFT; detectable parameters; dynamic range determination; frequency detection; frequency estimation; high-order ambiguity functions; multi-component PPS; multiple lag diversities; polynomial phase signals; single component PPS; undersamples signal; Dynamic range; Frequency estimation; Health information management; Phase detection; Phase estimation; Polynomials; Radar applications; Radar imaging; Sonar applications; Synthetic aperture sonar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Pittsburgh, PA
Print_ISBN :
0-7803-5073-1
Type :
conf
DOI :
10.1109/TFSA.1998.721390
Filename :
721390
Link To Document :
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