DocumentCode
2294318
Title
A Fast Method for Time Delay, Doppler Shift and Doppler Rate Estimation
Author
Tao, Shan ; Ran, Tao ; Rong, Sun Rong
Author_Institution
Dept. of Electron. Eng., Beijing Inst. of Technol.
fYear
2006
fDate
16-19 Oct. 2006
Firstpage
1
Lastpage
4
Abstract
For realizing the rapid estimation of time delay, Doppler shift and Doppler rate of moving targets in passive radar, we present a cross ambiguity function algorithm based on higher order ambiguity function (CAF-HAF). In this algorithm, higher order ambiguity function transforms the nonlinear harmonious signal´s estimation to the linear harmonious signal´s estimation, then zoom-FFT is used for estimating the frequency portion which the authors are interested about. Therefore, the CAF-HAF algorithm realizes the accurate estimation of the time delay, Doppler shift and Doppler rate of moving target with less computational cost Then the computation cost and the accuracy of the CAF-HAF algorithm are compared with the cross ambiguity function method based on the fractional Fourier transform (CAF-FRFT), showing higher efficiency and being more adaptive for real time signal processing
Keywords
Doppler shift; delay estimation; fast Fourier transforms; real-time systems; signal processing; CAF-HAF algorithm; Doppler rate estimation; Doppler shift estimation; Fourier transform; cross ambiguity function; higher order ambiguity function; nonlinear harmonious signal estimation; real time signal processing; time delay estimation; zoom-FFT; Adaptive signal processing; Computational efficiency; Cost function; Delay effects; Delay estimation; Doppler shift; Fourier transforms; Frequency estimation; Passive radar; Signal processing algorithms; Doppler; Doppler rate; ambiguity function; cross ambiguity function; fractional Fourier transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar, 2006. CIE '06. International Conference on
Conference_Location
Shanghai
Print_ISBN
0-7803-9582-4
Electronic_ISBN
0-7803-9583-2
Type
conf
DOI
10.1109/ICR.2006.343509
Filename
4148486
Link To Document