Title :
Estimating parameters of polynomial phase signals by tracking algorithms
Author :
Tichavský, Petr ; Händel, Peter
Author_Institution :
Inst. of Inf. Theory & Autom., Czechoslovak Acad. of Sci., Prague, Czechoslovakia
Abstract :
Polynomial phase signals are encountered for example in pulse compression radar systems. A recently proposed “multiple frequency tracker” in combination with a polynomial fitting procedure are shown to perform well in estimating parameters of polynomial phase signals. In comparison with the popular discrete polynomial-phase transform, the proposed method is shown to have a significantly lower SNR threshold, while retaining a low computational complexity
Keywords :
frequency estimation; phase estimation; polynomials; pulse compression; radar signal processing; radar tracking; SNR threshold; computational complexity; multiple frequency tracker; parameter estimation; polynomial fitting procedure; polynomial phase signals; pulse compression radar; tracking algorithms; Computational complexity; Discrete transforms; Frequency estimation; Frequency modulation; Higher order statistics; Parameter estimation; Phase estimation; Polynomials; Radar tracking; Signal to noise ratio;
Conference_Titel :
Statistical Signal and Array Processing, 1998. Proceedings., Ninth IEEE SP Workshop on
Conference_Location :
Portland, OR
Print_ISBN :
0-7803-5010-3
DOI :
10.1109/SSAP.1998.739406
